Curriculum planned

Stage 12 · Exploration & Visualization

Apache Superset

A comprehensive Apache Superset course covering installation, database connectivity, SQL Lab, datasets and semantic modeling, charts and ECharts, dashboards and native filters, SQL templating, caching and async queries, alerts/reports, RBAC and row-level security, embedding, REST API, theming, custom visualization and database plugins, metadata database, Celery/Redis, Kubernetes, observability, upgrades, security hardening, governance, performance, and production BI architecture.

Browse planned curriculum Back to all courses

37planned chapters

185reserved lesson paths

Intermediate → Advancedlearning level

Plannedcourse state

Coverage baselineApache Superset 6.0.0 baseline with current SQL Lab, dataset-centric exploration, semantic-layer metrics/calculated columns, dashboards and native filters, ECharts visualizations, RBAC/RLS security, caching and async queries, alerts/reports, embedding, REST API/OpenAPI, theme administration and Ant Design v5 theming, Kubernetes/cloud-native deployment, database connector architecture, AI-assisted usage awareness, and secure production operations

Course brief

Build Superset as a governed analytics application rather than a collection of charts: model datasets and metrics deliberately, constrain SQL and data access, control cache/query execution, and treat metadata, async workers, database drivers, RBAC, upgrades, and dashboards as one production system.

A comprehensive Apache Superset course covering installation, database connectivity, SQL Lab, datasets and semantic modeling, charts and ECharts, dashboards and native filters, SQL templating, caching and async queries, alerts/reports, RBAC and row-level security, embedding, REST API, theming, custom visualization and database plugins, metadata database, Celery/Redis, Kubernetes, observability, upgrades, security hardening, governance, performance, and production BI architecture.

This syllabus deliberately separates foundations, data/model semantics, internals, reliability, security, performance, operations, and production design so advanced material is not compressed into generic catch-all chapters.

By the end

You will be able to

Connect SQL engines safely, model physical/virtual datasets, define metrics/calculated columns, use SQL Lab, and build explainable charts/dashboards with reusable semantic definitions
Design dashboard UX with native filters, cross-filtering, drill/detail patterns, CSS/theming, performance-aware chart choices, and accessibility/storytelling principles
Secure Superset with authentication, RBAC, dataset/database permissions, row-level security, SQL Lab controls, secrets, CSP/proxy settings, audit and least privilege
Operate production Superset with metadata DB, Redis/Celery, async queries, caching, alerts/reports, Kubernetes, backups, scaling, observability and controlled upgrades
Automate and extend Superset through REST/OpenAPI, import/export, embedding, database connectors, visualization plugins and governance workflows while testing compatibility

Complete planned syllabus

37 chapters · 185 lesson paths.

Every lesson path is reserved now but intentionally not linked until its lesson HTML is actually published. The sequence moves from foundations through advanced implementation, architecture, operations, reliability, security, tuning, and a production capstone.

01

Chapter 1

Superset Foundations: Apache Superset 6.0.0, BI Architecture, Personas, Dataset-Centric Philosophy, and Docker-Based Local Lab

5 lessons

01

Superset Foundations: Apache Superset 6.0.0, BI Architecture, Personas, Dataset-Centric Philosophy, and Docker-Based Local Lab: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter01/Lesson1.html

Planned02

Superset Foundations: Apache Superset 6.0.0, BI Architecture, Personas, Dataset-Centric Philosophy, and Docker-Based Local Lab: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter01/Lesson2.html

Planned03

Superset Foundations: Apache Superset 6.0.0, BI Architecture, Personas, Dataset-Centric Philosophy, and Docker-Based Local Lab: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter01/Lesson3.html

Planned04

Superset Foundations: Apache Superset 6.0.0, BI Architecture, Personas, Dataset-Centric Philosophy, and Docker-Based Local Lab: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter01/Lesson4.html

Planned05

Checkpoint Lab — Superset Foundations: Apache Superset 6.0.0, BI Architecture, Personas, Dataset-Centric Philosophy, and Docker-Based Local Lab: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter01/Lesson5.html

Planned

02

Chapter 2

Architecture: Web Server, Metadata Database, Query Databases, Cache, Celery Workers/Beat, Redis, Browser, and Request/Data Flow

5 lessons

01

Architecture: Web Server, Metadata Database, Query Databases, Cache, Celery Workers/Beat, Redis, Browser, and Request/Data Flow: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter02/Lesson1.html

Planned02

Architecture: Web Server, Metadata Database, Query Databases, Cache, Celery Workers/Beat, Redis, Browser, and Request/Data Flow: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter02/Lesson2.html

Planned03

Architecture: Web Server, Metadata Database, Query Databases, Cache, Celery Workers/Beat, Redis, Browser, and Request/Data Flow: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter02/Lesson3.html

Planned04

Architecture: Web Server, Metadata Database, Query Databases, Cache, Celery Workers/Beat, Redis, Browser, and Request/Data Flow: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter02/Lesson4.html

Planned05

Checkpoint Lab — Architecture: Web Server, Metadata Database, Query Databases, Cache, Celery Workers/Beat, Redis, Browser, and Request/Data Flow: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter02/Lesson5.html

Planned

03

Chapter 3

Installation Methods: Docker Compose for Development, Native/PyPI Concepts, Official Images, Helm/Kubernetes, Configuration, and Production Boundaries

5 lessons

01

Installation Methods: Docker Compose for Development, Native/PyPI Concepts, Official Images, Helm/Kubernetes, Configuration, and Production Boundaries: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter03/Lesson1.html

Planned02

Installation Methods: Docker Compose for Development, Native/PyPI Concepts, Official Images, Helm/Kubernetes, Configuration, and Production Boundaries: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter03/Lesson2.html

Planned03

Installation Methods: Docker Compose for Development, Native/PyPI Concepts, Official Images, Helm/Kubernetes, Configuration, and Production Boundaries: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter03/Lesson3.html

Planned04

Installation Methods: Docker Compose for Development, Native/PyPI Concepts, Official Images, Helm/Kubernetes, Configuration, and Production Boundaries: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter03/Lesson4.html

Planned05

Checkpoint Lab — Installation Methods: Docker Compose for Development, Native/PyPI Concepts, Official Images, Helm/Kubernetes, Configuration, and Production Boundaries: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter03/Lesson5.html

Planned

04

Chapter 4

Connecting Databases: SQLAlchemy Dialects, Python Drivers, Connection URIs, Engine Parameters, TLS, SSH/Tunnel Awareness, and Connectivity Diagnostics

5 lessons

01

Connecting Databases: SQLAlchemy Dialects, Python Drivers, Connection URIs, Engine Parameters, TLS, SSH/Tunnel Awareness, and Connectivity Diagnostics: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter04/Lesson1.html

Planned02

Connecting Databases: SQLAlchemy Dialects, Python Drivers, Connection URIs, Engine Parameters, TLS, SSH/Tunnel Awareness, and Connectivity Diagnostics: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter04/Lesson2.html

Planned03

Connecting Databases: SQLAlchemy Dialects, Python Drivers, Connection URIs, Engine Parameters, TLS, SSH/Tunnel Awareness, and Connectivity Diagnostics: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter04/Lesson3.html

Planned04

Connecting Databases: SQLAlchemy Dialects, Python Drivers, Connection URIs, Engine Parameters, TLS, SSH/Tunnel Awareness, and Connectivity Diagnostics: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter04/Lesson4.html

Planned05

Checkpoint Lab — Connecting Databases: SQLAlchemy Dialects, Python Drivers, Connection URIs, Engine Parameters, TLS, SSH/Tunnel Awareness, and Connectivity Diagnostics: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter04/Lesson5.html

Planned

05

Chapter 5

SQL Lab Foundations: SQL Editor, Database/Schema Browser, Query History, Results, Saved Queries, Limits, Async Execution, and Safe Analyst Workflows

5 lessons

01

SQL Lab Foundations: SQL Editor, Database/Schema Browser, Query History, Results, Saved Queries, Limits, Async Execution, and Safe Analyst Workflows: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter05/Lesson1.html

Planned02

SQL Lab Foundations: SQL Editor, Database/Schema Browser, Query History, Results, Saved Queries, Limits, Async Execution, and Safe Analyst Workflows: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter05/Lesson2.html

Planned03

SQL Lab Foundations: SQL Editor, Database/Schema Browser, Query History, Results, Saved Queries, Limits, Async Execution, and Safe Analyst Workflows: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter05/Lesson3.html

Planned04

SQL Lab Foundations: SQL Editor, Database/Schema Browser, Query History, Results, Saved Queries, Limits, Async Execution, and Safe Analyst Workflows: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter05/Lesson4.html

Planned05

Checkpoint Lab — SQL Lab Foundations: SQL Editor, Database/Schema Browser, Query History, Results, Saved Queries, Limits, Async Execution, and Safe Analyst Workflows: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter05/Lesson5.html

Planned

06

Chapter 6

SQL Lab Advanced: Multi-Statement/Read-Only Constraints, Jinja Templating, Parameters, Query Cost Awareness, CTAS/CVAS Controls, and Security Boundaries

5 lessons

01

SQL Lab Advanced: Multi-Statement/Read-Only Constraints, Jinja Templating, Parameters, Query Cost Awareness, CTAS/CVAS Controls, and Security Boundaries: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter06/Lesson1.html

Planned02

SQL Lab Advanced: Multi-Statement/Read-Only Constraints, Jinja Templating, Parameters, Query Cost Awareness, CTAS/CVAS Controls, and Security Boundaries: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter06/Lesson2.html

Planned03

SQL Lab Advanced: Multi-Statement/Read-Only Constraints, Jinja Templating, Parameters, Query Cost Awareness, CTAS/CVAS Controls, and Security Boundaries: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter06/Lesson3.html

Planned04

SQL Lab Advanced: Multi-Statement/Read-Only Constraints, Jinja Templating, Parameters, Query Cost Awareness, CTAS/CVAS Controls, and Security Boundaries: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter06/Lesson4.html

Planned05

Checkpoint Lab — SQL Lab Advanced: Multi-Statement/Read-Only Constraints, Jinja Templating, Parameters, Query Cost Awareness, CTAS/CVAS Controls, and Security Boundaries: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter06/Lesson5.html

Planned

07

Chapter 7

Datasets: Physical vs Virtual Datasets, Columns, Types, Calculated Columns, Metrics, Certification, Ownership, and Semantic Reuse

5 lessons

01

Datasets: Physical vs Virtual Datasets, Columns, Types, Calculated Columns, Metrics, Certification, Ownership, and Semantic Reuse: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter07/Lesson1.html

Planned02

Datasets: Physical vs Virtual Datasets, Columns, Types, Calculated Columns, Metrics, Certification, Ownership, and Semantic Reuse: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter07/Lesson2.html

Planned03

Datasets: Physical vs Virtual Datasets, Columns, Types, Calculated Columns, Metrics, Certification, Ownership, and Semantic Reuse: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter07/Lesson3.html

Planned04

Datasets: Physical vs Virtual Datasets, Columns, Types, Calculated Columns, Metrics, Certification, Ownership, and Semantic Reuse: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter07/Lesson4.html

Planned05

Checkpoint Lab — Datasets: Physical vs Virtual Datasets, Columns, Types, Calculated Columns, Metrics, Certification, Ownership, and Semantic Reuse: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter07/Lesson5.html

Planned

08

Chapter 8

Semantic Layer Design: Business Metrics, Grain, Dimensions, Time Columns, Filter Semantics, Reusability, Naming, and Avoiding Dashboard Logic Duplication

5 lessons

01

Semantic Layer Design: Business Metrics, Grain, Dimensions, Time Columns, Filter Semantics, Reusability, Naming, and Avoiding Dashboard Logic Duplication: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter08/Lesson1.html

Planned02

Semantic Layer Design: Business Metrics, Grain, Dimensions, Time Columns, Filter Semantics, Reusability, Naming, and Avoiding Dashboard Logic Duplication: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter08/Lesson2.html

Planned03

Semantic Layer Design: Business Metrics, Grain, Dimensions, Time Columns, Filter Semantics, Reusability, Naming, and Avoiding Dashboard Logic Duplication: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter08/Lesson3.html

Planned04

Semantic Layer Design: Business Metrics, Grain, Dimensions, Time Columns, Filter Semantics, Reusability, Naming, and Avoiding Dashboard Logic Duplication: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter08/Lesson4.html

Planned05

Checkpoint Lab — Semantic Layer Design: Business Metrics, Grain, Dimensions, Time Columns, Filter Semantics, Reusability, Naming, and Avoiding Dashboard Logic Duplication: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter08/Lesson5.html

Planned

09

Chapter 9

Explore Workflow: Dataset Selection, Controls, Query Generation, Result Inspection, Chart Configuration, Save/Share, and Iterative Analysis

5 lessons

01

Explore Workflow: Dataset Selection, Controls, Query Generation, Result Inspection, Chart Configuration, Save/Share, and Iterative Analysis: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter09/Lesson1.html

Planned02

Explore Workflow: Dataset Selection, Controls, Query Generation, Result Inspection, Chart Configuration, Save/Share, and Iterative Analysis: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter09/Lesson2.html

Planned03

Explore Workflow: Dataset Selection, Controls, Query Generation, Result Inspection, Chart Configuration, Save/Share, and Iterative Analysis: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter09/Lesson3.html

Planned04

Explore Workflow: Dataset Selection, Controls, Query Generation, Result Inspection, Chart Configuration, Save/Share, and Iterative Analysis: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter09/Lesson4.html

Planned05

Checkpoint Lab — Explore Workflow: Dataset Selection, Controls, Query Generation, Result Inspection, Chart Configuration, Save/Share, and Iterative Analysis: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter09/Lesson5.html

Planned

10

Chapter 10

Core Visualization Patterns: Tables, Bars, Lines, Areas, Pies, Scatter, Histograms, Big Numbers, Heatmaps, and Choosing Charts by Analytical Question

5 lessons

01

Core Visualization Patterns: Tables, Bars, Lines, Areas, Pies, Scatter, Histograms, Big Numbers, Heatmaps, and Choosing Charts by Analytical Question: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter10/Lesson1.html

Planned02

Core Visualization Patterns: Tables, Bars, Lines, Areas, Pies, Scatter, Histograms, Big Numbers, Heatmaps, and Choosing Charts by Analytical Question: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter10/Lesson2.html

Planned03

Core Visualization Patterns: Tables, Bars, Lines, Areas, Pies, Scatter, Histograms, Big Numbers, Heatmaps, and Choosing Charts by Analytical Question: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter10/Lesson3.html

Planned04

Core Visualization Patterns: Tables, Bars, Lines, Areas, Pies, Scatter, Histograms, Big Numbers, Heatmaps, and Choosing Charts by Analytical Question: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter10/Lesson4.html

Planned05

Checkpoint Lab — Core Visualization Patterns: Tables, Bars, Lines, Areas, Pies, Scatter, Histograms, Big Numbers, Heatmaps, and Choosing Charts by Analytical Question: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter10/Lesson5.html

Planned

11

Chapter 11

Time-Series Analytics: Temporal Grain, Rolling/Resampling Concepts, Time Comparison, Forecast/Trend Awareness, Missing Periods, and Performance

5 lessons

01

Time-Series Analytics: Temporal Grain, Rolling/Resampling Concepts, Time Comparison, Forecast/Trend Awareness, Missing Periods, and Performance: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter11/Lesson1.html

Planned02

Time-Series Analytics: Temporal Grain, Rolling/Resampling Concepts, Time Comparison, Forecast/Trend Awareness, Missing Periods, and Performance: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter11/Lesson2.html

Planned03

Time-Series Analytics: Temporal Grain, Rolling/Resampling Concepts, Time Comparison, Forecast/Trend Awareness, Missing Periods, and Performance: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter11/Lesson3.html

Planned04

Time-Series Analytics: Temporal Grain, Rolling/Resampling Concepts, Time Comparison, Forecast/Trend Awareness, Missing Periods, and Performance: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter11/Lesson4.html

Planned05

Checkpoint Lab — Time-Series Analytics: Temporal Grain, Rolling/Resampling Concepts, Time Comparison, Forecast/Trend Awareness, Missing Periods, and Performance: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter11/Lesson5.html

Planned

12

Chapter 12

Geospatial Visualizations: Maps, Coordinates, Country/Region Data, Deck.gl/ECharts Concepts, Spatial SQL Preparation, and Performance/Security

5 lessons

01

Geospatial Visualizations: Maps, Coordinates, Country/Region Data, Deck.gl/ECharts Concepts, Spatial SQL Preparation, and Performance/Security: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter12/Lesson1.html

Planned02

Geospatial Visualizations: Maps, Coordinates, Country/Region Data, Deck.gl/ECharts Concepts, Spatial SQL Preparation, and Performance/Security: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter12/Lesson2.html

Planned03

Geospatial Visualizations: Maps, Coordinates, Country/Region Data, Deck.gl/ECharts Concepts, Spatial SQL Preparation, and Performance/Security: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter12/Lesson3.html

Planned04

Geospatial Visualizations: Maps, Coordinates, Country/Region Data, Deck.gl/ECharts Concepts, Spatial SQL Preparation, and Performance/Security: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter12/Lesson4.html

Planned05

Checkpoint Lab — Geospatial Visualizations: Maps, Coordinates, Country/Region Data, Deck.gl/ECharts Concepts, Spatial SQL Preparation, and Performance/Security: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter12/Lesson5.html

Planned

13

Chapter 13

ECharts and Advanced Visualization: ECharts Options, Mixed Time Series, Rich Tooltips, Labels, Formatting, Interaction, and Extensibility Boundaries

5 lessons

01

ECharts and Advanced Visualization: ECharts Options, Mixed Time Series, Rich Tooltips, Labels, Formatting, Interaction, and Extensibility Boundaries: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter13/Lesson1.html

Planned02

ECharts and Advanced Visualization: ECharts Options, Mixed Time Series, Rich Tooltips, Labels, Formatting, Interaction, and Extensibility Boundaries: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter13/Lesson2.html

Planned03

ECharts and Advanced Visualization: ECharts Options, Mixed Time Series, Rich Tooltips, Labels, Formatting, Interaction, and Extensibility Boundaries: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter13/Lesson3.html

Planned04

ECharts and Advanced Visualization: ECharts Options, Mixed Time Series, Rich Tooltips, Labels, Formatting, Interaction, and Extensibility Boundaries: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter13/Lesson4.html

Planned05

Checkpoint Lab — ECharts and Advanced Visualization: ECharts Options, Mixed Time Series, Rich Tooltips, Labels, Formatting, Interaction, and Extensibility Boundaries: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter13/Lesson5.html

Planned

14

Chapter 14

Dashboards: Layout Grid, Tabs, Markdown, Chart Placement, Sizing, Refresh, Metadata, Publishing, Ownership, and Dashboard Lifecycle

5 lessons

01

Dashboards: Layout Grid, Tabs, Markdown, Chart Placement, Sizing, Refresh, Metadata, Publishing, Ownership, and Dashboard Lifecycle: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter14/Lesson1.html

Planned02

Dashboards: Layout Grid, Tabs, Markdown, Chart Placement, Sizing, Refresh, Metadata, Publishing, Ownership, and Dashboard Lifecycle: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter14/Lesson2.html

Planned03

Dashboards: Layout Grid, Tabs, Markdown, Chart Placement, Sizing, Refresh, Metadata, Publishing, Ownership, and Dashboard Lifecycle: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter14/Lesson3.html

Planned04

Dashboards: Layout Grid, Tabs, Markdown, Chart Placement, Sizing, Refresh, Metadata, Publishing, Ownership, and Dashboard Lifecycle: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter14/Lesson4.html

Planned05

Checkpoint Lab — Dashboards: Layout Grid, Tabs, Markdown, Chart Placement, Sizing, Refresh, Metadata, Publishing, Ownership, and Dashboard Lifecycle: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter14/Lesson5.html

Planned

15

Chapter 15

Native Filters: Filter Bar, Scope, Cascading Filters, Time Range, Defaults, Dependencies, Cross-Dataset Behavior, and URL State

5 lessons

01

Native Filters: Filter Bar, Scope, Cascading Filters, Time Range, Defaults, Dependencies, Cross-Dataset Behavior, and URL State: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter15/Lesson1.html

Planned02

Native Filters: Filter Bar, Scope, Cascading Filters, Time Range, Defaults, Dependencies, Cross-Dataset Behavior, and URL State: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter15/Lesson2.html

Planned03

Native Filters: Filter Bar, Scope, Cascading Filters, Time Range, Defaults, Dependencies, Cross-Dataset Behavior, and URL State: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter15/Lesson3.html

Planned04

Native Filters: Filter Bar, Scope, Cascading Filters, Time Range, Defaults, Dependencies, Cross-Dataset Behavior, and URL State: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter15/Lesson4.html

Planned05

Checkpoint Lab — Native Filters: Filter Bar, Scope, Cascading Filters, Time Range, Defaults, Dependencies, Cross-Dataset Behavior, and URL State: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter15/Lesson5.html

Planned

16

Chapter 16

Cross-Filtering, Drill, and Interaction: Chart-to-Chart Filters, Drill to Detail/By Concepts, Data Exploration Paths, and Preventing Confusing Interaction

5 lessons

01

Cross-Filtering, Drill, and Interaction: Chart-to-Chart Filters, Drill to Detail/By Concepts, Data Exploration Paths, and Preventing Confusing Interaction: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter16/Lesson1.html

Planned02

Cross-Filtering, Drill, and Interaction: Chart-to-Chart Filters, Drill to Detail/By Concepts, Data Exploration Paths, and Preventing Confusing Interaction: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter16/Lesson2.html

Planned03

Cross-Filtering, Drill, and Interaction: Chart-to-Chart Filters, Drill to Detail/By Concepts, Data Exploration Paths, and Preventing Confusing Interaction: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter16/Lesson3.html

Planned04

Cross-Filtering, Drill, and Interaction: Chart-to-Chart Filters, Drill to Detail/By Concepts, Data Exploration Paths, and Preventing Confusing Interaction: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter16/Lesson4.html

Planned05

Checkpoint Lab — Cross-Filtering, Drill, and Interaction: Chart-to-Chart Filters, Drill to Detail/By Concepts, Data Exploration Paths, and Preventing Confusing Interaction: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter16/Lesson5.html

Planned

17

Chapter 17

SQL Templating with Jinja: Filter Values, URL Parameters, User Context, Macros, Cache Keys, Security, Determinism, and Template Testing

5 lessons

01

SQL Templating with Jinja: Filter Values, URL Parameters, User Context, Macros, Cache Keys, Security, Determinism, and Template Testing: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter17/Lesson1.html

Planned02

SQL Templating with Jinja: Filter Values, URL Parameters, User Context, Macros, Cache Keys, Security, Determinism, and Template Testing: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter17/Lesson2.html

Planned03

SQL Templating with Jinja: Filter Values, URL Parameters, User Context, Macros, Cache Keys, Security, Determinism, and Template Testing: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter17/Lesson3.html

Planned04

SQL Templating with Jinja: Filter Values, URL Parameters, User Context, Macros, Cache Keys, Security, Determinism, and Template Testing: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter17/Lesson4.html

Planned05

Checkpoint Lab — SQL Templating with Jinja: Filter Values, URL Parameters, User Context, Macros, Cache Keys, Security, Determinism, and Template Testing: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter17/Lesson5.html

Planned

18

Chapter 18

Caching: Data/Chart/Dashboard/Filter Cache Concepts, Redis Backends, Timeouts, Cache Keys, Invalidations, Freshness, and Load Reduction

5 lessons

01

Caching: Data/Chart/Dashboard/Filter Cache Concepts, Redis Backends, Timeouts, Cache Keys, Invalidations, Freshness, and Load Reduction: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter18/Lesson1.html

Planned02

Caching: Data/Chart/Dashboard/Filter Cache Concepts, Redis Backends, Timeouts, Cache Keys, Invalidations, Freshness, and Load Reduction: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter18/Lesson2.html

Planned03

Caching: Data/Chart/Dashboard/Filter Cache Concepts, Redis Backends, Timeouts, Cache Keys, Invalidations, Freshness, and Load Reduction: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter18/Lesson3.html

Planned04

Caching: Data/Chart/Dashboard/Filter Cache Concepts, Redis Backends, Timeouts, Cache Keys, Invalidations, Freshness, and Load Reduction: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter18/Lesson4.html

Planned05

Checkpoint Lab — Caching: Data/Chart/Dashboard/Filter Cache Concepts, Redis Backends, Timeouts, Cache Keys, Invalidations, Freshness, and Load Reduction: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter18/Lesson5.html

Planned

19

Chapter 19

Asynchronous Queries: Celery Workers, Result Backends, Redis, Long-Running Queries, Timeouts, Worker Reliability, and Capacity Planning

5 lessons

01

Asynchronous Queries: Celery Workers, Result Backends, Redis, Long-Running Queries, Timeouts, Worker Reliability, and Capacity Planning: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter19/Lesson1.html

Planned02

Asynchronous Queries: Celery Workers, Result Backends, Redis, Long-Running Queries, Timeouts, Worker Reliability, and Capacity Planning: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter19/Lesson2.html

Planned03

Asynchronous Queries: Celery Workers, Result Backends, Redis, Long-Running Queries, Timeouts, Worker Reliability, and Capacity Planning: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter19/Lesson3.html

Planned04

Asynchronous Queries: Celery Workers, Result Backends, Redis, Long-Running Queries, Timeouts, Worker Reliability, and Capacity Planning: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter19/Lesson4.html

Planned05

Checkpoint Lab — Asynchronous Queries: Celery Workers, Result Backends, Redis, Long-Running Queries, Timeouts, Worker Reliability, and Capacity Planning: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter19/Lesson5.html

Planned

20

Chapter 20

Alerts and Reports: Schedules, Screenshots/Email, Celery Beat, Browser Dependencies, Slack/Email Concepts, Reliability, Credentials, and Delivery Troubleshooting

5 lessons

01

Alerts and Reports: Schedules, Screenshots/Email, Celery Beat, Browser Dependencies, Slack/Email Concepts, Reliability, Credentials, and Delivery Troubleshooting: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter20/Lesson1.html

Planned02

Alerts and Reports: Schedules, Screenshots/Email, Celery Beat, Browser Dependencies, Slack/Email Concepts, Reliability, Credentials, and Delivery Troubleshooting: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter20/Lesson2.html

Planned03

Alerts and Reports: Schedules, Screenshots/Email, Celery Beat, Browser Dependencies, Slack/Email Concepts, Reliability, Credentials, and Delivery Troubleshooting: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter20/Lesson3.html

Planned04

Alerts and Reports: Schedules, Screenshots/Email, Celery Beat, Browser Dependencies, Slack/Email Concepts, Reliability, Credentials, and Delivery Troubleshooting: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter20/Lesson4.html

Planned05

Checkpoint Lab — Alerts and Reports: Schedules, Screenshots/Email, Celery Beat, Browser Dependencies, Slack/Email Concepts, Reliability, Credentials, and Delivery Troubleshooting: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter20/Lesson5.html

Planned

21

Chapter 21

Authentication: Flask-AppBuilder Security Concepts, Database/Auth Providers, OAuth/OIDC/LDAP Awareness, Reverse Proxy/SSO, Session Security, and MFA Boundaries

5 lessons

01

Authentication: Flask-AppBuilder Security Concepts, Database/Auth Providers, OAuth/OIDC/LDAP Awareness, Reverse Proxy/SSO, Session Security, and MFA Boundaries: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter21/Lesson1.html

Planned02

Authentication: Flask-AppBuilder Security Concepts, Database/Auth Providers, OAuth/OIDC/LDAP Awareness, Reverse Proxy/SSO, Session Security, and MFA Boundaries: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter21/Lesson2.html

Planned03

Authentication: Flask-AppBuilder Security Concepts, Database/Auth Providers, OAuth/OIDC/LDAP Awareness, Reverse Proxy/SSO, Session Security, and MFA Boundaries: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter21/Lesson3.html

Planned04

Authentication: Flask-AppBuilder Security Concepts, Database/Auth Providers, OAuth/OIDC/LDAP Awareness, Reverse Proxy/SSO, Session Security, and MFA Boundaries: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter21/Lesson4.html

Planned05

Checkpoint Lab — Authentication: Flask-AppBuilder Security Concepts, Database/Auth Providers, OAuth/OIDC/LDAP Awareness, Reverse Proxy/SSO, Session Security, and MFA Boundaries: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter21/Lesson5.html

Planned

22

Chapter 22

RBAC and Standard Roles: Admin/Alpha/Gamma/SQL Lab Concepts, Permission/View Models, Custom Roles, Least Privilege, and Permission Explosion

5 lessons

01

RBAC and Standard Roles: Admin/Alpha/Gamma/SQL Lab Concepts, Permission/View Models, Custom Roles, Least Privilege, and Permission Explosion: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter22/Lesson1.html

Planned02

RBAC and Standard Roles: Admin/Alpha/Gamma/SQL Lab Concepts, Permission/View Models, Custom Roles, Least Privilege, and Permission Explosion: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter22/Lesson2.html

Planned03

RBAC and Standard Roles: Admin/Alpha/Gamma/SQL Lab Concepts, Permission/View Models, Custom Roles, Least Privilege, and Permission Explosion: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter22/Lesson3.html

Planned04

RBAC and Standard Roles: Admin/Alpha/Gamma/SQL Lab Concepts, Permission/View Models, Custom Roles, Least Privilege, and Permission Explosion: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter22/Lesson4.html

Planned05

Checkpoint Lab — RBAC and Standard Roles: Admin/Alpha/Gamma/SQL Lab Concepts, Permission/View Models, Custom Roles, Least Privilege, and Permission Explosion: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter22/Lesson5.html

Planned

23

Chapter 23

Row-Level Security and Data Access: RLS Rules, Role Combination, Dataset/Database Permissions, SQL Lab Exposure, Testing, and Injection/Bypass Threats

5 lessons

01

Row-Level Security and Data Access: RLS Rules, Role Combination, Dataset/Database Permissions, SQL Lab Exposure, Testing, and Injection/Bypass Threats: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter23/Lesson1.html

Planned02

Row-Level Security and Data Access: RLS Rules, Role Combination, Dataset/Database Permissions, SQL Lab Exposure, Testing, and Injection/Bypass Threats: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter23/Lesson2.html

Planned03

Row-Level Security and Data Access: RLS Rules, Role Combination, Dataset/Database Permissions, SQL Lab Exposure, Testing, and Injection/Bypass Threats: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter23/Lesson3.html

Planned04

Row-Level Security and Data Access: RLS Rules, Role Combination, Dataset/Database Permissions, SQL Lab Exposure, Testing, and Injection/Bypass Threats: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter23/Lesson4.html

Planned05

Checkpoint Lab — Row-Level Security and Data Access: RLS Rules, Role Combination, Dataset/Database Permissions, SQL Lab Exposure, Testing, and Injection/Bypass Threats: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter23/Lesson5.html

Planned

24

Chapter 24

Security Hardening: SECRET_KEY, CSP/Talisman Concepts, CSRF, Cookies, Proxy Headers, SQL Parsing/Read-Only Controls, Dependency CVEs, and Upgrade Discipline

5 lessons

01

Security Hardening: SECRET_KEY, CSP/Talisman Concepts, CSRF, Cookies, Proxy Headers, SQL Parsing/Read-Only Controls, Dependency CVEs, and Upgrade Discipline: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter24/Lesson1.html

Planned02

Security Hardening: SECRET_KEY, CSP/Talisman Concepts, CSRF, Cookies, Proxy Headers, SQL Parsing/Read-Only Controls, Dependency CVEs, and Upgrade Discipline: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter24/Lesson2.html

Planned03

Security Hardening: SECRET_KEY, CSP/Talisman Concepts, CSRF, Cookies, Proxy Headers, SQL Parsing/Read-Only Controls, Dependency CVEs, and Upgrade Discipline: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter24/Lesson3.html

Planned04

Security Hardening: SECRET_KEY, CSP/Talisman Concepts, CSRF, Cookies, Proxy Headers, SQL Parsing/Read-Only Controls, Dependency CVEs, and Upgrade Discipline: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter24/Lesson4.html

Planned05

Checkpoint Lab — Security Hardening: SECRET_KEY, CSP/Talisman Concepts, CSRF, Cookies, Proxy Headers, SQL Parsing/Read-Only Controls, Dependency CVEs, and Upgrade Discipline: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter24/Lesson5.html

Planned

25

Chapter 25

Embedding Dashboards: Guest Tokens, Embedded SDK Concepts, Allowed Domains, RLS Integration, Authentication Boundaries, CSP, and Multi-Tenant Applications

5 lessons

01

Embedding Dashboards: Guest Tokens, Embedded SDK Concepts, Allowed Domains, RLS Integration, Authentication Boundaries, CSP, and Multi-Tenant Applications: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter25/Lesson1.html

Planned02

Embedding Dashboards: Guest Tokens, Embedded SDK Concepts, Allowed Domains, RLS Integration, Authentication Boundaries, CSP, and Multi-Tenant Applications: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter25/Lesson2.html

Planned03

Embedding Dashboards: Guest Tokens, Embedded SDK Concepts, Allowed Domains, RLS Integration, Authentication Boundaries, CSP, and Multi-Tenant Applications: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter25/Lesson3.html

Planned04

Embedding Dashboards: Guest Tokens, Embedded SDK Concepts, Allowed Domains, RLS Integration, Authentication Boundaries, CSP, and Multi-Tenant Applications: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter25/Lesson4.html

Planned05

Checkpoint Lab — Embedding Dashboards: Guest Tokens, Embedded SDK Concepts, Allowed Domains, RLS Integration, Authentication Boundaries, CSP, and Multi-Tenant Applications: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter25/Lesson5.html

Planned

26

Chapter 26

REST API and Automation: OpenAPI/Swagger, Authentication, Charts/Dashboards/Datasets APIs, Import/Export, CI Automation, Idempotency, and Version Stability

5 lessons

01

REST API and Automation: OpenAPI/Swagger, Authentication, Charts/Dashboards/Datasets APIs, Import/Export, CI Automation, Idempotency, and Version Stability: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter26/Lesson1.html

Planned02

REST API and Automation: OpenAPI/Swagger, Authentication, Charts/Dashboards/Datasets APIs, Import/Export, CI Automation, Idempotency, and Version Stability: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter26/Lesson2.html

Planned03

REST API and Automation: OpenAPI/Swagger, Authentication, Charts/Dashboards/Datasets APIs, Import/Export, CI Automation, Idempotency, and Version Stability: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter26/Lesson3.html

Planned04

REST API and Automation: OpenAPI/Swagger, Authentication, Charts/Dashboards/Datasets APIs, Import/Export, CI Automation, Idempotency, and Version Stability: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter26/Lesson4.html

Planned05

Checkpoint Lab — REST API and Automation: OpenAPI/Swagger, Authentication, Charts/Dashboards/Datasets APIs, Import/Export, CI Automation, Idempotency, and Version Stability: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter26/Lesson5.html

Planned

27

Chapter 27

Themes and Branding in Superset 6: Ant Design v5 Tokens, Theme Administration, System/Dark Themes, Per-Dashboard Themes, Fonts, Import/Export, and Governance

5 lessons

01

Themes and Branding in Superset 6: Ant Design v5 Tokens, Theme Administration, System/Dark Themes, Per-Dashboard Themes, Fonts, Import/Export, and Governance: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter27/Lesson1.html

Planned02

Themes and Branding in Superset 6: Ant Design v5 Tokens, Theme Administration, System/Dark Themes, Per-Dashboard Themes, Fonts, Import/Export, and Governance: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter27/Lesson2.html

Planned03

Themes and Branding in Superset 6: Ant Design v5 Tokens, Theme Administration, System/Dark Themes, Per-Dashboard Themes, Fonts, Import/Export, and Governance: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter27/Lesson3.html

Planned04

Themes and Branding in Superset 6: Ant Design v5 Tokens, Theme Administration, System/Dark Themes, Per-Dashboard Themes, Fonts, Import/Export, and Governance: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter27/Lesson4.html

Planned05

Checkpoint Lab — Themes and Branding in Superset 6: Ant Design v5 Tokens, Theme Administration, System/Dark Themes, Per-Dashboard Themes, Fonts, Import/Export, and Governance: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter27/Lesson5.html

Planned

28

Chapter 28

Custom Visualization Plugins: Superset Frontend Architecture, ECharts Ecosystem, Plugin Metadata, Build Tooling, Packaging, Testing, and Upgrade Maintenance

5 lessons

01

Custom Visualization Plugins: Superset Frontend Architecture, ECharts Ecosystem, Plugin Metadata, Build Tooling, Packaging, Testing, and Upgrade Maintenance: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter28/Lesson1.html

Planned02

Custom Visualization Plugins: Superset Frontend Architecture, ECharts Ecosystem, Plugin Metadata, Build Tooling, Packaging, Testing, and Upgrade Maintenance: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter28/Lesson2.html

Planned03

Custom Visualization Plugins: Superset Frontend Architecture, ECharts Ecosystem, Plugin Metadata, Build Tooling, Packaging, Testing, and Upgrade Maintenance: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter28/Lesson3.html

Planned04

Custom Visualization Plugins: Superset Frontend Architecture, ECharts Ecosystem, Plugin Metadata, Build Tooling, Packaging, Testing, and Upgrade Maintenance: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter28/Lesson4.html

Planned05

Checkpoint Lab — Custom Visualization Plugins: Superset Frontend Architecture, ECharts Ecosystem, Plugin Metadata, Build Tooling, Packaging, Testing, and Upgrade Maintenance: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter28/Lesson5.html

Planned

29

Chapter 29

Custom Database Connectors: SQLAlchemy Dialects, Engine Specs, Capability Flags, Time Grain/Functions, Testing, and Contribution/Maintenance Cost

5 lessons

01

Custom Database Connectors: SQLAlchemy Dialects, Engine Specs, Capability Flags, Time Grain/Functions, Testing, and Contribution/Maintenance Cost: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter29/Lesson1.html

Planned02

Custom Database Connectors: SQLAlchemy Dialects, Engine Specs, Capability Flags, Time Grain/Functions, Testing, and Contribution/Maintenance Cost: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter29/Lesson2.html

Planned03

Custom Database Connectors: SQLAlchemy Dialects, Engine Specs, Capability Flags, Time Grain/Functions, Testing, and Contribution/Maintenance Cost: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter29/Lesson3.html

Planned04

Custom Database Connectors: SQLAlchemy Dialects, Engine Specs, Capability Flags, Time Grain/Functions, Testing, and Contribution/Maintenance Cost: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter29/Lesson4.html

Planned05

Checkpoint Lab — Custom Database Connectors: SQLAlchemy Dialects, Engine Specs, Capability Flags, Time Grain/Functions, Testing, and Contribution/Maintenance Cost: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter29/Lesson5.html

Planned

30

Chapter 30

Metadata Database Operations: PostgreSQL/MySQL Recommendations, Migrations, Backups, Connection Pooling, Cleanup, HA, and Disaster Recovery

5 lessons

01

Metadata Database Operations: PostgreSQL/MySQL Recommendations, Migrations, Backups, Connection Pooling, Cleanup, HA, and Disaster Recovery: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter30/Lesson1.html

Planned02

Metadata Database Operations: PostgreSQL/MySQL Recommendations, Migrations, Backups, Connection Pooling, Cleanup, HA, and Disaster Recovery: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter30/Lesson2.html

Planned03

Metadata Database Operations: PostgreSQL/MySQL Recommendations, Migrations, Backups, Connection Pooling, Cleanup, HA, and Disaster Recovery: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter30/Lesson3.html

Planned04

Metadata Database Operations: PostgreSQL/MySQL Recommendations, Migrations, Backups, Connection Pooling, Cleanup, HA, and Disaster Recovery: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter30/Lesson4.html

Planned05

Checkpoint Lab — Metadata Database Operations: PostgreSQL/MySQL Recommendations, Migrations, Backups, Connection Pooling, Cleanup, HA, and Disaster Recovery: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter30/Lesson5.html

Planned

31

Chapter 31

Performance and Scaling: Gunicorn/Web Concurrency, Workers, Caching, Async Queries, Database Pushdown, Dashboard Query Fanout, Kubernetes, and Load Testing

5 lessons

01

Performance and Scaling: Gunicorn/Web Concurrency, Workers, Caching, Async Queries, Database Pushdown, Dashboard Query Fanout, Kubernetes, and Load Testing: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter31/Lesson1.html

Planned02

Performance and Scaling: Gunicorn/Web Concurrency, Workers, Caching, Async Queries, Database Pushdown, Dashboard Query Fanout, Kubernetes, and Load Testing: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter31/Lesson2.html

Planned03

Performance and Scaling: Gunicorn/Web Concurrency, Workers, Caching, Async Queries, Database Pushdown, Dashboard Query Fanout, Kubernetes, and Load Testing: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter31/Lesson3.html

Planned04

Performance and Scaling: Gunicorn/Web Concurrency, Workers, Caching, Async Queries, Database Pushdown, Dashboard Query Fanout, Kubernetes, and Load Testing: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter31/Lesson4.html

Planned05

Checkpoint Lab — Performance and Scaling: Gunicorn/Web Concurrency, Workers, Caching, Async Queries, Database Pushdown, Dashboard Query Fanout, Kubernetes, and Load Testing: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter31/Lesson5.html

Planned

32

Chapter 32

Observability and Troubleshooting: Logs, Metrics, Query Tracing, Celery Health, Cache Diagnostics, Database Errors, Browser Issues, and Incident Runbooks

5 lessons

01

Observability and Troubleshooting: Logs, Metrics, Query Tracing, Celery Health, Cache Diagnostics, Database Errors, Browser Issues, and Incident Runbooks: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter32/Lesson1.html

Planned02

Observability and Troubleshooting: Logs, Metrics, Query Tracing, Celery Health, Cache Diagnostics, Database Errors, Browser Issues, and Incident Runbooks: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter32/Lesson2.html

Planned03

Observability and Troubleshooting: Logs, Metrics, Query Tracing, Celery Health, Cache Diagnostics, Database Errors, Browser Issues, and Incident Runbooks: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter32/Lesson3.html

Planned04

Observability and Troubleshooting: Logs, Metrics, Query Tracing, Celery Health, Cache Diagnostics, Database Errors, Browser Issues, and Incident Runbooks: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter32/Lesson4.html

Planned05

Checkpoint Lab — Observability and Troubleshooting: Logs, Metrics, Query Tracing, Celery Health, Cache Diagnostics, Database Errors, Browser Issues, and Incident Runbooks: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter32/Lesson5.html

Planned

33

Chapter 33

AI-Assisted Analytics Awareness: Using AI with Superset, Natural-Language/SQL Assistance Boundaries, Data Privacy, Verification, and Governance

5 lessons

01

AI-Assisted Analytics Awareness: Using AI with Superset, Natural-Language/SQL Assistance Boundaries, Data Privacy, Verification, and Governance: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter33/Lesson1.html

Planned02

AI-Assisted Analytics Awareness: Using AI with Superset, Natural-Language/SQL Assistance Boundaries, Data Privacy, Verification, and Governance: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter33/Lesson2.html

Planned03

AI-Assisted Analytics Awareness: Using AI with Superset, Natural-Language/SQL Assistance Boundaries, Data Privacy, Verification, and Governance: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter33/Lesson3.html

Planned04

AI-Assisted Analytics Awareness: Using AI with Superset, Natural-Language/SQL Assistance Boundaries, Data Privacy, Verification, and Governance: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter33/Lesson4.html

Planned05

Checkpoint Lab — AI-Assisted Analytics Awareness: Using AI with Superset, Natural-Language/SQL Assistance Boundaries, Data Privacy, Verification, and Governance: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter33/Lesson5.html

Planned

34

Chapter 34

Governance and Content Lifecycle: Ownership, Certification, Tags, Naming, Workspace Conventions, Promotion, Import/Export, Audit, and Dashboard Deprecation

5 lessons

01

Governance and Content Lifecycle: Ownership, Certification, Tags, Naming, Workspace Conventions, Promotion, Import/Export, Audit, and Dashboard Deprecation: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter34/Lesson1.html

Planned02

Governance and Content Lifecycle: Ownership, Certification, Tags, Naming, Workspace Conventions, Promotion, Import/Export, Audit, and Dashboard Deprecation: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter34/Lesson2.html

Planned03

Governance and Content Lifecycle: Ownership, Certification, Tags, Naming, Workspace Conventions, Promotion, Import/Export, Audit, and Dashboard Deprecation: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter34/Lesson3.html

Planned04

Governance and Content Lifecycle: Ownership, Certification, Tags, Naming, Workspace Conventions, Promotion, Import/Export, Audit, and Dashboard Deprecation: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter34/Lesson4.html

Planned05

Checkpoint Lab — Governance and Content Lifecycle: Ownership, Certification, Tags, Naming, Workspace Conventions, Promotion, Import/Export, Audit, and Dashboard Deprecation: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter34/Lesson5.html

Planned

35

Chapter 35

Testing and CI/CD: Configuration Tests, Database Connectivity, API Tests, Dashboard/Dataset Export Validation, Visual Regression Concepts, and Staging

5 lessons

01

Testing and CI/CD: Configuration Tests, Database Connectivity, API Tests, Dashboard/Dataset Export Validation, Visual Regression Concepts, and Staging: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter35/Lesson1.html

Planned02

Testing and CI/CD: Configuration Tests, Database Connectivity, API Tests, Dashboard/Dataset Export Validation, Visual Regression Concepts, and Staging: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter35/Lesson2.html

Planned03

Testing and CI/CD: Configuration Tests, Database Connectivity, API Tests, Dashboard/Dataset Export Validation, Visual Regression Concepts, and Staging: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter35/Lesson3.html

Planned04

Testing and CI/CD: Configuration Tests, Database Connectivity, API Tests, Dashboard/Dataset Export Validation, Visual Regression Concepts, and Staging: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter35/Lesson4.html

Planned05

Checkpoint Lab — Testing and CI/CD: Configuration Tests, Database Connectivity, API Tests, Dashboard/Dataset Export Validation, Visual Regression Concepts, and Staging: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter35/Lesson5.html

Planned

36

Chapter 36

Upgrades and Breaking Changes: Metadata DB Migrations, UPDATING Guidance, Feature Flags, Database Drivers, Plugin Compatibility, CVE Review, and Rollback Planning

5 lessons

01

Upgrades and Breaking Changes: Metadata DB Migrations, UPDATING Guidance, Feature Flags, Database Drivers, Plugin Compatibility, CVE Review, and Rollback Planning: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter36/Lesson1.html

Planned02

Upgrades and Breaking Changes: Metadata DB Migrations, UPDATING Guidance, Feature Flags, Database Drivers, Plugin Compatibility, CVE Review, and Rollback Planning: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter36/Lesson2.html

Planned03

Upgrades and Breaking Changes: Metadata DB Migrations, UPDATING Guidance, Feature Flags, Database Drivers, Plugin Compatibility, CVE Review, and Rollback Planning: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter36/Lesson3.html

Planned04

Upgrades and Breaking Changes: Metadata DB Migrations, UPDATING Guidance, Feature Flags, Database Drivers, Plugin Compatibility, CVE Review, and Rollback Planning: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter36/Lesson4.html

Planned05

Checkpoint Lab — Upgrades and Breaking Changes: Metadata DB Migrations, UPDATING Guidance, Feature Flags, Database Drivers, Plugin Compatibility, CVE Review, and Rollback Planning: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter36/Lesson5.html

Planned

37

Chapter 37

Production Capstone: Model, Visualize, Filter, Secure, Cache, Embed, Automate, Scale, Observe, Upgrade, and Recover a Superset 6 Analytics Platform

5 lessons

01

Production Capstone: Model, Visualize, Filter, Secure, Cache, Embed, Automate, Scale, Observe, Upgrade, and Recover a Superset 6 Analytics Platform: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter37/Lesson1.html

Planned02

Production Capstone: Model, Visualize, Filter, Secure, Cache, Embed, Automate, Scale, Observe, Upgrade, and Recover a Superset 6 Analytics Platform: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter37/Lesson2.html

Planned03

Production Capstone: Model, Visualize, Filter, Secure, Cache, Embed, Automate, Scale, Observe, Upgrade, and Recover a Superset 6 Analytics Platform: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter37/Lesson3.html

Planned04

Production Capstone: Model, Visualize, Filter, Secure, Cache, Embed, Automate, Scale, Observe, Upgrade, and Recover a Superset 6 Analytics Platform: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter37/Lesson4.html

Planned05

Checkpoint Lab — Production Capstone: Model, Visualize, Filter, Secure, Cache, Embed, Automate, Scale, Observe, Upgrade, and Recover a Superset 6 Analytics Platform: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter37/Lesson5.html

Planned