Curriculum planned

Stage 10 · Lakehouse Table Formats

Apache Hudi

A comprehensive Apache Hudi course covering timeline-based table state, Copy-on-Write and Merge-on-Read, record keys and preCombine semantics, indexing, metadata table, upserts/deletes, incremental and CDC queries, compaction, clustering, cleaning, concurrency control, Spark/Flink streaming, table services, catalogs, object storage, AI/multimodal types, Lance/vector capabilities, security, observability, migration, and production operations.

Browse planned curriculum Back to all courses

33planned chapters

165reserved lesson paths

Advancedlearning level

Plannedcourse state

Coverage baselineApache Hudi 1.2.0 baseline (May 2026) with table version 9, Copy-on-Write and Merge-on-Read, timeline and instant semantics, record-level and secondary indexes, metadata table, concurrency control, incremental and CDC queries, Spark/Flink integrations, table services, clustering/compaction/cleaning, VECTOR/VARIANT/BLOB types, Lance support, vector search, and production lakehouse operations

Course brief

Understand Hudi as a transactional mutation and incremental-processing system for data lakes: model records, timeline instants, file groups, indexes, table services, concurrency, and incremental consumption together rather than treating it as merely another storage format.

A comprehensive Apache Hudi course covering timeline-based table state, Copy-on-Write and Merge-on-Read, record keys and preCombine semantics, indexing, metadata table, upserts/deletes, incremental and CDC queries, compaction, clustering, cleaning, concurrency control, Spark/Flink streaming, table services, catalogs, object storage, AI/multimodal types, Lance/vector capabilities, security, observability, migration, and production operations.

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

Explain Hudi timeline/instants, file groups/slices, base and log files, Copy-on-Write vs Merge-on-Read, record keys, ordering/preCombine, and table-version semantics
Design scalable upsert/delete workloads with bucket/record-level/secondary indexes, metadata table, concurrency control, compaction, clustering and cleaning
Build batch and streaming ingestion with Spark and Flink and consume snapshot, read-optimized, incremental and CDC query modes correctly
Use Hudi 1.2 capabilities including table version 9, native VECTOR/VARIANT/BLOB types, Lance integration and vector-search concepts while respecting engine compatibility
Operate secure production Hudi tables with table services, observability, backup/recovery, upgrades, migration, cost/performance benchmarks, and failure drills

Complete planned syllabus

33 chapters · 165 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

Hudi Foundations: Mutable Lakehouse Tables, Apache Hudi 1.2.0, Table Version 9, Workload Fit, and Local Spark/Flink Lab

5 lessons

01

Hudi Foundations: Mutable Lakehouse Tables, Apache Hudi 1.2.0, Table Version 9, Workload Fit, and Local Spark/Flink Lab: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter01/Lesson1.html

Planned02

Hudi Foundations: Mutable Lakehouse Tables, Apache Hudi 1.2.0, Table Version 9, Workload Fit, and Local Spark/Flink Lab: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter01/Lesson2.html

Planned03

Hudi Foundations: Mutable Lakehouse Tables, Apache Hudi 1.2.0, Table Version 9, Workload Fit, and Local Spark/Flink Lab: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter01/Lesson3.html

Planned04

Hudi Foundations: Mutable Lakehouse Tables, Apache Hudi 1.2.0, Table Version 9, Workload Fit, and Local Spark/Flink Lab: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter01/Lesson4.html

Planned05

Checkpoint Lab — Hudi Foundations: Mutable Lakehouse Tables, Apache Hudi 1.2.0, Table Version 9, Workload Fit, and Local Spark/Flink Lab: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter01/Lesson5.html

Planned

02

Chapter 2

Timeline and Instant Semantics: Requested/In-Flight/Completed States, Commit Types, Timeline Ordering, Archival, and Table State

5 lessons

01

Timeline and Instant Semantics: Requested/In-Flight/Completed States, Commit Types, Timeline Ordering, Archival, and Table State: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter02/Lesson1.html

Planned02

Timeline and Instant Semantics: Requested/In-Flight/Completed States, Commit Types, Timeline Ordering, Archival, and Table State: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter02/Lesson2.html

Planned03

Timeline and Instant Semantics: Requested/In-Flight/Completed States, Commit Types, Timeline Ordering, Archival, and Table State: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter02/Lesson3.html

Planned04

Timeline and Instant Semantics: Requested/In-Flight/Completed States, Commit Types, Timeline Ordering, Archival, and Table State: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter02/Lesson4.html

Planned05

Checkpoint Lab — Timeline and Instant Semantics: Requested/In-Flight/Completed States, Commit Types, Timeline Ordering, Archival, and Table State: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter02/Lesson5.html

Planned

03

Chapter 3

File Groups and File Slices: File IDs, Base Files, Log Files, Versions, File-System Layout, and How Mutations Accumulate

5 lessons

01

File Groups and File Slices: File IDs, Base Files, Log Files, Versions, File-System Layout, and How Mutations Accumulate: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter03/Lesson1.html

Planned02

File Groups and File Slices: File IDs, Base Files, Log Files, Versions, File-System Layout, and How Mutations Accumulate: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter03/Lesson2.html

Planned03

File Groups and File Slices: File IDs, Base Files, Log Files, Versions, File-System Layout, and How Mutations Accumulate: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter03/Lesson3.html

Planned04

File Groups and File Slices: File IDs, Base Files, Log Files, Versions, File-System Layout, and How Mutations Accumulate: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter03/Lesson4.html

Planned05

Checkpoint Lab — File Groups and File Slices: File IDs, Base Files, Log Files, Versions, File-System Layout, and How Mutations Accumulate: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter03/Lesson5.html

Planned

04

Chapter 4

Copy-on-Write Tables: Write Path, File Rewrites, Read Simplicity, Update Amplification, Latency, and Workload Selection

5 lessons

01

Copy-on-Write Tables: Write Path, File Rewrites, Read Simplicity, Update Amplification, Latency, and Workload Selection: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter04/Lesson1.html

Planned02

Copy-on-Write Tables: Write Path, File Rewrites, Read Simplicity, Update Amplification, Latency, and Workload Selection: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter04/Lesson2.html

Planned03

Copy-on-Write Tables: Write Path, File Rewrites, Read Simplicity, Update Amplification, Latency, and Workload Selection: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter04/Lesson3.html

Planned04

Copy-on-Write Tables: Write Path, File Rewrites, Read Simplicity, Update Amplification, Latency, and Workload Selection: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter04/Lesson4.html

Planned05

Checkpoint Lab — Copy-on-Write Tables: Write Path, File Rewrites, Read Simplicity, Update Amplification, Latency, and Workload Selection: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter04/Lesson5.html

Planned

05

Chapter 5

Merge-on-Read Tables: Delta Commits, Log Blocks, Merging, Compaction, Read-Optimized vs Snapshot Views, and Freshness Tradeoffs

5 lessons

01

Merge-on-Read Tables: Delta Commits, Log Blocks, Merging, Compaction, Read-Optimized vs Snapshot Views, and Freshness Tradeoffs: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter05/Lesson1.html

Planned02

Merge-on-Read Tables: Delta Commits, Log Blocks, Merging, Compaction, Read-Optimized vs Snapshot Views, and Freshness Tradeoffs: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter05/Lesson2.html

Planned03

Merge-on-Read Tables: Delta Commits, Log Blocks, Merging, Compaction, Read-Optimized vs Snapshot Views, and Freshness Tradeoffs: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter05/Lesson3.html

Planned04

Merge-on-Read Tables: Delta Commits, Log Blocks, Merging, Compaction, Read-Optimized vs Snapshot Views, and Freshness Tradeoffs: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter05/Lesson4.html

Planned05

Checkpoint Lab — Merge-on-Read Tables: Delta Commits, Log Blocks, Merging, Compaction, Read-Optimized vs Snapshot Views, and Freshness Tradeoffs: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter05/Lesson5.html

Planned

06

Chapter 6

Record Keys, Partition Paths, and Ordering: Primary Identity, Key Generators, Composite Keys, preCombine/Ordering Fields, and Duplicate Resolution

5 lessons

01

Record Keys, Partition Paths, and Ordering: Primary Identity, Key Generators, Composite Keys, preCombine/Ordering Fields, and Duplicate Resolution: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter06/Lesson1.html

Planned02

Record Keys, Partition Paths, and Ordering: Primary Identity, Key Generators, Composite Keys, preCombine/Ordering Fields, and Duplicate Resolution: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter06/Lesson2.html

Planned03

Record Keys, Partition Paths, and Ordering: Primary Identity, Key Generators, Composite Keys, preCombine/Ordering Fields, and Duplicate Resolution: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter06/Lesson3.html

Planned04

Record Keys, Partition Paths, and Ordering: Primary Identity, Key Generators, Composite Keys, preCombine/Ordering Fields, and Duplicate Resolution: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter06/Lesson4.html

Planned05

Checkpoint Lab — Record Keys, Partition Paths, and Ordering: Primary Identity, Key Generators, Composite Keys, preCombine/Ordering Fields, and Duplicate Resolution: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter06/Lesson5.html

Planned

07

Chapter 7

Write Operations: Insert, Bulk Insert, Upsert, Delete, Insert Overwrite, Delete Partition, Operation Semantics, and Idempotency

5 lessons

01

Write Operations: Insert, Bulk Insert, Upsert, Delete, Insert Overwrite, Delete Partition, Operation Semantics, and Idempotency: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter07/Lesson1.html

Planned02

Write Operations: Insert, Bulk Insert, Upsert, Delete, Insert Overwrite, Delete Partition, Operation Semantics, and Idempotency: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter07/Lesson2.html

Planned03

Write Operations: Insert, Bulk Insert, Upsert, Delete, Insert Overwrite, Delete Partition, Operation Semantics, and Idempotency: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter07/Lesson3.html

Planned04

Write Operations: Insert, Bulk Insert, Upsert, Delete, Insert Overwrite, Delete Partition, Operation Semantics, and Idempotency: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter07/Lesson4.html

Planned05

Checkpoint Lab — Write Operations: Insert, Bulk Insert, Upsert, Delete, Insert Overwrite, Delete Partition, Operation Semantics, and Idempotency: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter07/Lesson5.html

Planned

08

Chapter 8

Indexing Foundations: Global vs Non-Global, Simple/Bloom/Bucket Concepts, Lookup Cost, Partition Movement, and Choosing an Index

5 lessons

01

Indexing Foundations: Global vs Non-Global, Simple/Bloom/Bucket Concepts, Lookup Cost, Partition Movement, and Choosing an Index: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter08/Lesson1.html

Planned02

Indexing Foundations: Global vs Non-Global, Simple/Bloom/Bucket Concepts, Lookup Cost, Partition Movement, and Choosing an Index: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter08/Lesson2.html

Planned03

Indexing Foundations: Global vs Non-Global, Simple/Bloom/Bucket Concepts, Lookup Cost, Partition Movement, and Choosing an Index: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter08/Lesson3.html

Planned04

Indexing Foundations: Global vs Non-Global, Simple/Bloom/Bucket Concepts, Lookup Cost, Partition Movement, and Choosing an Index: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter08/Lesson4.html

Planned05

Checkpoint Lab — Indexing Foundations: Global vs Non-Global, Simple/Bloom/Bucket Concepts, Lookup Cost, Partition Movement, and Choosing an Index: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter08/Lesson5.html

Planned

09

Chapter 9

Record-Level Index: Metadata-Backed Global Location, Spark/Flink Use, Streaming Global Upserts, Scale Characteristics, and Recovery

5 lessons

01

Record-Level Index: Metadata-Backed Global Location, Spark/Flink Use, Streaming Global Upserts, Scale Characteristics, and Recovery: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter09/Lesson1.html

Planned02

Record-Level Index: Metadata-Backed Global Location, Spark/Flink Use, Streaming Global Upserts, Scale Characteristics, and Recovery: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter09/Lesson2.html

Planned03

Record-Level Index: Metadata-Backed Global Location, Spark/Flink Use, Streaming Global Upserts, Scale Characteristics, and Recovery: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter09/Lesson3.html

Planned04

Record-Level Index: Metadata-Backed Global Location, Spark/Flink Use, Streaming Global Upserts, Scale Characteristics, and Recovery: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter09/Lesson4.html

Planned05

Checkpoint Lab — Record-Level Index: Metadata-Backed Global Location, Spark/Flink Use, Streaming Global Upserts, Scale Characteristics, and Recovery: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter09/Lesson5.html

Planned

10

Chapter 10

Secondary Indexes: Column/Expression-Like Lookup Concepts, Metadata Encoding, Query/Write Tradeoffs, Lifecycle, and Table Version 9 Considerations

5 lessons

01

Secondary Indexes: Column/Expression-Like Lookup Concepts, Metadata Encoding, Query/Write Tradeoffs, Lifecycle, and Table Version 9 Considerations: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter10/Lesson1.html

Planned02

Secondary Indexes: Column/Expression-Like Lookup Concepts, Metadata Encoding, Query/Write Tradeoffs, Lifecycle, and Table Version 9 Considerations: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter10/Lesson2.html

Planned03

Secondary Indexes: Column/Expression-Like Lookup Concepts, Metadata Encoding, Query/Write Tradeoffs, Lifecycle, and Table Version 9 Considerations: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter10/Lesson3.html

Planned04

Secondary Indexes: Column/Expression-Like Lookup Concepts, Metadata Encoding, Query/Write Tradeoffs, Lifecycle, and Table Version 9 Considerations: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter10/Lesson4.html

Planned05

Checkpoint Lab — Secondary Indexes: Column/Expression-Like Lookup Concepts, Metadata Encoding, Query/Write Tradeoffs, Lifecycle, and Table Version 9 Considerations: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter10/Lesson5.html

Planned

11

Chapter 11

Metadata Table: File Listings, Column Stats, Bloom Filters, Record Index, Secondary Metadata, Sync, Failure Recovery, and Scale

5 lessons

01

Metadata Table: File Listings, Column Stats, Bloom Filters, Record Index, Secondary Metadata, Sync, Failure Recovery, and Scale: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter11/Lesson1.html

Planned02

Metadata Table: File Listings, Column Stats, Bloom Filters, Record Index, Secondary Metadata, Sync, Failure Recovery, and Scale: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter11/Lesson2.html

Planned03

Metadata Table: File Listings, Column Stats, Bloom Filters, Record Index, Secondary Metadata, Sync, Failure Recovery, and Scale: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter11/Lesson3.html

Planned04

Metadata Table: File Listings, Column Stats, Bloom Filters, Record Index, Secondary Metadata, Sync, Failure Recovery, and Scale: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter11/Lesson4.html

Planned05

Checkpoint Lab — Metadata Table: File Listings, Column Stats, Bloom Filters, Record Index, Secondary Metadata, Sync, Failure Recovery, and Scale: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter11/Lesson5.html

Planned

12

Chapter 12

Schema Management: Avro-Oriented Schema Evolution, Nullability, Type Promotion, Reconciliation, Internal Schema, Compatibility, and Rollout Strategy

5 lessons

01

Schema Management: Avro-Oriented Schema Evolution, Nullability, Type Promotion, Reconciliation, Internal Schema, Compatibility, and Rollout Strategy: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter12/Lesson1.html

Planned02

Schema Management: Avro-Oriented Schema Evolution, Nullability, Type Promotion, Reconciliation, Internal Schema, Compatibility, and Rollout Strategy: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter12/Lesson2.html

Planned03

Schema Management: Avro-Oriented Schema Evolution, Nullability, Type Promotion, Reconciliation, Internal Schema, Compatibility, and Rollout Strategy: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter12/Lesson3.html

Planned04

Schema Management: Avro-Oriented Schema Evolution, Nullability, Type Promotion, Reconciliation, Internal Schema, Compatibility, and Rollout Strategy: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter12/Lesson4.html

Planned05

Checkpoint Lab — Schema Management: Avro-Oriented Schema Evolution, Nullability, Type Promotion, Reconciliation, Internal Schema, Compatibility, and Rollout Strategy: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter12/Lesson5.html

Planned

13

Chapter 13

Table Version 8 vs 9: Storage Format Capabilities, Compatibility, Upgrades, New Types/Indexes, Reader Constraints, and Safe Fleet Migration

5 lessons

01

Table Version 8 vs 9: Storage Format Capabilities, Compatibility, Upgrades, New Types/Indexes, Reader Constraints, and Safe Fleet Migration: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter13/Lesson1.html

Planned02

Table Version 8 vs 9: Storage Format Capabilities, Compatibility, Upgrades, New Types/Indexes, Reader Constraints, and Safe Fleet Migration: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter13/Lesson2.html

Planned03

Table Version 8 vs 9: Storage Format Capabilities, Compatibility, Upgrades, New Types/Indexes, Reader Constraints, and Safe Fleet Migration: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter13/Lesson3.html

Planned04

Table Version 8 vs 9: Storage Format Capabilities, Compatibility, Upgrades, New Types/Indexes, Reader Constraints, and Safe Fleet Migration: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter13/Lesson4.html

Planned05

Checkpoint Lab — Table Version 8 vs 9: Storage Format Capabilities, Compatibility, Upgrades, New Types/Indexes, Reader Constraints, and Safe Fleet Migration: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter13/Lesson5.html

Planned

14

Chapter 14

Snapshot and Read-Optimized Queries: Latest Table State, MOR Merge Cost, Query Paths, Engine Semantics, and Analytical Tradeoffs

5 lessons

01

Snapshot and Read-Optimized Queries: Latest Table State, MOR Merge Cost, Query Paths, Engine Semantics, and Analytical Tradeoffs: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter14/Lesson1.html

Planned02

Snapshot and Read-Optimized Queries: Latest Table State, MOR Merge Cost, Query Paths, Engine Semantics, and Analytical Tradeoffs: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter14/Lesson2.html

Planned03

Snapshot and Read-Optimized Queries: Latest Table State, MOR Merge Cost, Query Paths, Engine Semantics, and Analytical Tradeoffs: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter14/Lesson3.html

Planned04

Snapshot and Read-Optimized Queries: Latest Table State, MOR Merge Cost, Query Paths, Engine Semantics, and Analytical Tradeoffs: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter14/Lesson4.html

Planned05

Checkpoint Lab — Snapshot and Read-Optimized Queries: Latest Table State, MOR Merge Cost, Query Paths, Engine Semantics, and Analytical Tradeoffs: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter14/Lesson5.html

Planned

15

Chapter 15

Incremental Queries: Begin/End Instants, Changed Records, Hollow Commits, Consumer Checkpoints, Reprocessing, and Downstream Pipelines

5 lessons

01

Incremental Queries: Begin/End Instants, Changed Records, Hollow Commits, Consumer Checkpoints, Reprocessing, and Downstream Pipelines: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter15/Lesson1.html

Planned02

Incremental Queries: Begin/End Instants, Changed Records, Hollow Commits, Consumer Checkpoints, Reprocessing, and Downstream Pipelines: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter15/Lesson2.html

Planned03

Incremental Queries: Begin/End Instants, Changed Records, Hollow Commits, Consumer Checkpoints, Reprocessing, and Downstream Pipelines: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter15/Lesson3.html

Planned04

Incremental Queries: Begin/End Instants, Changed Records, Hollow Commits, Consumer Checkpoints, Reprocessing, and Downstream Pipelines: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter15/Lesson4.html

Planned05

Checkpoint Lab — Incremental Queries: Begin/End Instants, Changed Records, Hollow Commits, Consumer Checkpoints, Reprocessing, and Downstream Pipelines: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter15/Lesson5.html

Planned

16

Chapter 16

Change Data Capture: CDC Logging, Before/After Semantics, Supplemental Logging Concepts, Incremental Consumers, Retention, and Replay

5 lessons

01

Change Data Capture: CDC Logging, Before/After Semantics, Supplemental Logging Concepts, Incremental Consumers, Retention, and Replay: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter16/Lesson1.html

Planned02

Change Data Capture: CDC Logging, Before/After Semantics, Supplemental Logging Concepts, Incremental Consumers, Retention, and Replay: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter16/Lesson2.html

Planned03

Change Data Capture: CDC Logging, Before/After Semantics, Supplemental Logging Concepts, Incremental Consumers, Retention, and Replay: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter16/Lesson3.html

Planned04

Change Data Capture: CDC Logging, Before/After Semantics, Supplemental Logging Concepts, Incremental Consumers, Retention, and Replay: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter16/Lesson4.html

Planned05

Checkpoint Lab — Change Data Capture: CDC Logging, Before/After Semantics, Supplemental Logging Concepts, Incremental Consumers, Retention, and Replay: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter16/Lesson5.html

Planned

17

Chapter 17

Compaction: Scheduling vs Execution, Inline/Async Modes, Strategies, Backlog, Read/Write Amplification, Failure Recovery, and SLAs

5 lessons

01

Compaction: Scheduling vs Execution, Inline/Async Modes, Strategies, Backlog, Read/Write Amplification, Failure Recovery, and SLAs: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter17/Lesson1.html

Planned02

Compaction: Scheduling vs Execution, Inline/Async Modes, Strategies, Backlog, Read/Write Amplification, Failure Recovery, and SLAs: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter17/Lesson2.html

Planned03

Compaction: Scheduling vs Execution, Inline/Async Modes, Strategies, Backlog, Read/Write Amplification, Failure Recovery, and SLAs: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter17/Lesson3.html

Planned04

Compaction: Scheduling vs Execution, Inline/Async Modes, Strategies, Backlog, Read/Write Amplification, Failure Recovery, and SLAs: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter17/Lesson4.html

Planned05

Checkpoint Lab — Compaction: Scheduling vs Execution, Inline/Async Modes, Strategies, Backlog, Read/Write Amplification, Failure Recovery, and SLAs: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter17/Lesson5.html

Planned

18

Chapter 18

Clustering: File Reorganization, Sorting, Small-File Handling, Async Services, Concurrent Updates, Non-Blocking Improvements, and Layout Evolution

5 lessons

01

Clustering: File Reorganization, Sorting, Small-File Handling, Async Services, Concurrent Updates, Non-Blocking Improvements, and Layout Evolution: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter18/Lesson1.html

Planned02

Clustering: File Reorganization, Sorting, Small-File Handling, Async Services, Concurrent Updates, Non-Blocking Improvements, and Layout Evolution: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter18/Lesson2.html

Planned03

Clustering: File Reorganization, Sorting, Small-File Handling, Async Services, Concurrent Updates, Non-Blocking Improvements, and Layout Evolution: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter18/Lesson3.html

Planned04

Clustering: File Reorganization, Sorting, Small-File Handling, Async Services, Concurrent Updates, Non-Blocking Improvements, and Layout Evolution: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter18/Lesson4.html

Planned05

Checkpoint Lab — Clustering: File Reorganization, Sorting, Small-File Handling, Async Services, Concurrent Updates, Non-Blocking Improvements, and Layout Evolution: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter18/Lesson5.html

Planned

19

Chapter 19

Cleaning and Archival: Commit Retention, File-Version Cleanup, Timeline Archival, Incremental Consumer Safety, Object Costs, and Recovery Windows

5 lessons

01

Cleaning and Archival: Commit Retention, File-Version Cleanup, Timeline Archival, Incremental Consumer Safety, Object Costs, and Recovery Windows: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter19/Lesson1.html

Planned02

Cleaning and Archival: Commit Retention, File-Version Cleanup, Timeline Archival, Incremental Consumer Safety, Object Costs, and Recovery Windows: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter19/Lesson2.html

Planned03

Cleaning and Archival: Commit Retention, File-Version Cleanup, Timeline Archival, Incremental Consumer Safety, Object Costs, and Recovery Windows: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter19/Lesson3.html

Planned04

Cleaning and Archival: Commit Retention, File-Version Cleanup, Timeline Archival, Incremental Consumer Safety, Object Costs, and Recovery Windows: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter19/Lesson4.html

Planned05

Checkpoint Lab — Cleaning and Archival: Commit Retention, File-Version Cleanup, Timeline Archival, Incremental Consumer Safety, Object Costs, and Recovery Windows: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter19/Lesson5.html

Planned

20

Chapter 20

Concurrency Control: Single Writer, Optimistic Concurrency, Non-Blocking Concurrency Concepts, Locks, Conflict Detection, and Multi-Writer Design

5 lessons

01

Concurrency Control: Single Writer, Optimistic Concurrency, Non-Blocking Concurrency Concepts, Locks, Conflict Detection, and Multi-Writer Design: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter20/Lesson1.html

Planned02

Concurrency Control: Single Writer, Optimistic Concurrency, Non-Blocking Concurrency Concepts, Locks, Conflict Detection, and Multi-Writer Design: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter20/Lesson2.html

Planned03

Concurrency Control: Single Writer, Optimistic Concurrency, Non-Blocking Concurrency Concepts, Locks, Conflict Detection, and Multi-Writer Design: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter20/Lesson3.html

Planned04

Concurrency Control: Single Writer, Optimistic Concurrency, Non-Blocking Concurrency Concepts, Locks, Conflict Detection, and Multi-Writer Design: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter20/Lesson4.html

Planned05

Checkpoint Lab — Concurrency Control: Single Writer, Optimistic Concurrency, Non-Blocking Concurrency Concepts, Locks, Conflict Detection, and Multi-Writer Design: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter20/Lesson5.html

Planned

21

Chapter 21

Spark Integration: DataSource/SQL APIs, Catalogs, Procedures, Streaming, Hive Sync, Upserts, Table Services, and Spark 4 Compatibility

5 lessons

01

Spark Integration: DataSource/SQL APIs, Catalogs, Procedures, Streaming, Hive Sync, Upserts, Table Services, and Spark 4 Compatibility: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter21/Lesson1.html

Planned02

Spark Integration: DataSource/SQL APIs, Catalogs, Procedures, Streaming, Hive Sync, Upserts, Table Services, and Spark 4 Compatibility: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter21/Lesson2.html

Planned03

Spark Integration: DataSource/SQL APIs, Catalogs, Procedures, Streaming, Hive Sync, Upserts, Table Services, and Spark 4 Compatibility: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter21/Lesson3.html

Planned04

Spark Integration: DataSource/SQL APIs, Catalogs, Procedures, Streaming, Hive Sync, Upserts, Table Services, and Spark 4 Compatibility: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter21/Lesson4.html

Planned05

Checkpoint Lab — Spark Integration: DataSource/SQL APIs, Catalogs, Procedures, Streaming, Hive Sync, Upserts, Table Services, and Spark 4 Compatibility: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter21/Lesson5.html

Planned

22

Chapter 22

Flink Integration: Streaming Writes, Checkpoints, Bucket/Record-Level Indexing, Async Compaction, Global Upserts, FLIP-27 Source Concepts, and Recovery

5 lessons

01

Flink Integration: Streaming Writes, Checkpoints, Bucket/Record-Level Indexing, Async Compaction, Global Upserts, FLIP-27 Source Concepts, and Recovery: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter22/Lesson1.html

Planned02

Flink Integration: Streaming Writes, Checkpoints, Bucket/Record-Level Indexing, Async Compaction, Global Upserts, FLIP-27 Source Concepts, and Recovery: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter22/Lesson2.html

Planned03

Flink Integration: Streaming Writes, Checkpoints, Bucket/Record-Level Indexing, Async Compaction, Global Upserts, FLIP-27 Source Concepts, and Recovery: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter22/Lesson3.html

Planned04

Flink Integration: Streaming Writes, Checkpoints, Bucket/Record-Level Indexing, Async Compaction, Global Upserts, FLIP-27 Source Concepts, and Recovery: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter22/Lesson4.html

Planned05

Checkpoint Lab — Flink Integration: Streaming Writes, Checkpoints, Bucket/Record-Level Indexing, Async Compaction, Global Upserts, FLIP-27 Source Concepts, and Recovery: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter22/Lesson5.html

Planned

23

Chapter 23

Ingestion Frameworks: DeltaStreamer/Streamer Concepts, Kafka/Object Sources, Transformations, Checkpointing, Multi-Table Pipelines, and Operational Boundaries

5 lessons

01

Ingestion Frameworks: DeltaStreamer/Streamer Concepts, Kafka/Object Sources, Transformations, Checkpointing, Multi-Table Pipelines, and Operational Boundaries: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter23/Lesson1.html

Planned02

Ingestion Frameworks: DeltaStreamer/Streamer Concepts, Kafka/Object Sources, Transformations, Checkpointing, Multi-Table Pipelines, and Operational Boundaries: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter23/Lesson2.html

Planned03

Ingestion Frameworks: DeltaStreamer/Streamer Concepts, Kafka/Object Sources, Transformations, Checkpointing, Multi-Table Pipelines, and Operational Boundaries: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter23/Lesson3.html

Planned04

Ingestion Frameworks: DeltaStreamer/Streamer Concepts, Kafka/Object Sources, Transformations, Checkpointing, Multi-Table Pipelines, and Operational Boundaries: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter23/Lesson4.html

Planned05

Checkpoint Lab — Ingestion Frameworks: DeltaStreamer/Streamer Concepts, Kafka/Object Sources, Transformations, Checkpointing, Multi-Table Pipelines, and Operational Boundaries: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter23/Lesson5.html

Planned

24

Chapter 24

Catalog and Metastore Integration: Hive Metastore, Glue-Style Catalogs, Sync Tools, Partition Metadata, Schema Propagation, and Multi-Engine Reads

5 lessons

01

Catalog and Metastore Integration: Hive Metastore, Glue-Style Catalogs, Sync Tools, Partition Metadata, Schema Propagation, and Multi-Engine Reads: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter24/Lesson1.html

Planned02

Catalog and Metastore Integration: Hive Metastore, Glue-Style Catalogs, Sync Tools, Partition Metadata, Schema Propagation, and Multi-Engine Reads: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter24/Lesson2.html

Planned03

Catalog and Metastore Integration: Hive Metastore, Glue-Style Catalogs, Sync Tools, Partition Metadata, Schema Propagation, and Multi-Engine Reads: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter24/Lesson3.html

Planned04

Catalog and Metastore Integration: Hive Metastore, Glue-Style Catalogs, Sync Tools, Partition Metadata, Schema Propagation, and Multi-Engine Reads: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter24/Lesson4.html

Planned05

Checkpoint Lab — Catalog and Metastore Integration: Hive Metastore, Glue-Style Catalogs, Sync Tools, Partition Metadata, Schema Propagation, and Multi-Engine Reads: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter24/Lesson5.html

Planned

25

Chapter 25

Object Storage Semantics: S3/GCS/Azure Concepts, Listing, Consistency, Multipart I/O, Markers, Credentials, Encryption, and Storage Cost

5 lessons

01

Object Storage Semantics: S3/GCS/Azure Concepts, Listing, Consistency, Multipart I/O, Markers, Credentials, Encryption, and Storage Cost: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter25/Lesson1.html

Planned02

Object Storage Semantics: S3/GCS/Azure Concepts, Listing, Consistency, Multipart I/O, Markers, Credentials, Encryption, and Storage Cost: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter25/Lesson2.html

Planned03

Object Storage Semantics: S3/GCS/Azure Concepts, Listing, Consistency, Multipart I/O, Markers, Credentials, Encryption, and Storage Cost: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter25/Lesson3.html

Planned04

Object Storage Semantics: S3/GCS/Azure Concepts, Listing, Consistency, Multipart I/O, Markers, Credentials, Encryption, and Storage Cost: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter25/Lesson4.html

Planned05

Checkpoint Lab — Object Storage Semantics: S3/GCS/Azure Concepts, Listing, Consistency, Multipart I/O, Markers, Credentials, Encryption, and Storage Cost: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter25/Lesson5.html

Planned

26

Chapter 26

AI and Multimodal Data in Hudi 1.2: VECTOR, VARIANT, BLOB Types, Embeddings, Semi-Structured/Binary Data, and Compatibility Boundaries

5 lessons

01

AI and Multimodal Data in Hudi 1.2: VECTOR, VARIANT, BLOB Types, Embeddings, Semi-Structured/Binary Data, and Compatibility Boundaries: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter26/Lesson1.html

Planned02

AI and Multimodal Data in Hudi 1.2: VECTOR, VARIANT, BLOB Types, Embeddings, Semi-Structured/Binary Data, and Compatibility Boundaries: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter26/Lesson2.html

Planned03

AI and Multimodal Data in Hudi 1.2: VECTOR, VARIANT, BLOB Types, Embeddings, Semi-Structured/Binary Data, and Compatibility Boundaries: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter26/Lesson3.html

Planned04

AI and Multimodal Data in Hudi 1.2: VECTOR, VARIANT, BLOB Types, Embeddings, Semi-Structured/Binary Data, and Compatibility Boundaries: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter26/Lesson4.html

Planned05

Checkpoint Lab — AI and Multimodal Data in Hudi 1.2: VECTOR, VARIANT, BLOB Types, Embeddings, Semi-Structured/Binary Data, and Compatibility Boundaries: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter26/Lesson5.html

Planned

27

Chapter 27

Lance File Format and Vector Search: Lance Base Files, hudi_vector_search, AI/ML Access Patterns, Hybrid Table Design, and Experimental/Workload Tradeoffs

5 lessons

01

Lance File Format and Vector Search: Lance Base Files, hudi_vector_search, AI/ML Access Patterns, Hybrid Table Design, and Experimental/Workload Tradeoffs: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter27/Lesson1.html

Planned02

Lance File Format and Vector Search: Lance Base Files, hudi_vector_search, AI/ML Access Patterns, Hybrid Table Design, and Experimental/Workload Tradeoffs: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter27/Lesson2.html

Planned03

Lance File Format and Vector Search: Lance Base Files, hudi_vector_search, AI/ML Access Patterns, Hybrid Table Design, and Experimental/Workload Tradeoffs: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter27/Lesson3.html

Planned04

Lance File Format and Vector Search: Lance Base Files, hudi_vector_search, AI/ML Access Patterns, Hybrid Table Design, and Experimental/Workload Tradeoffs: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter27/Lesson4.html

Planned05

Checkpoint Lab — Lance File Format and Vector Search: Lance Base Files, hudi_vector_search, AI/ML Access Patterns, Hybrid Table Design, and Experimental/Workload Tradeoffs: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter27/Lesson5.html

Planned

28

Chapter 28

Performance Engineering: File Sizing, Index Selection, Metadata Table, Compaction/Clustering Cadence, Write Parallelism, Read Amplification, and Benchmarking

5 lessons

01

Performance Engineering: File Sizing, Index Selection, Metadata Table, Compaction/Clustering Cadence, Write Parallelism, Read Amplification, and Benchmarking: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter28/Lesson1.html

Planned02

Performance Engineering: File Sizing, Index Selection, Metadata Table, Compaction/Clustering Cadence, Write Parallelism, Read Amplification, and Benchmarking: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter28/Lesson2.html

Planned03

Performance Engineering: File Sizing, Index Selection, Metadata Table, Compaction/Clustering Cadence, Write Parallelism, Read Amplification, and Benchmarking: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter28/Lesson3.html

Planned04

Performance Engineering: File Sizing, Index Selection, Metadata Table, Compaction/Clustering Cadence, Write Parallelism, Read Amplification, and Benchmarking: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter28/Lesson4.html

Planned05

Checkpoint Lab — Performance Engineering: File Sizing, Index Selection, Metadata Table, Compaction/Clustering Cadence, Write Parallelism, Read Amplification, and Benchmarking: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter28/Lesson5.html

Planned

29

Chapter 29

Security and Governance: Storage IAM, Catalog Authorization, Encryption, Secrets, Audit, PII Handling, Data Retention, and Least Privilege

5 lessons

01

Security and Governance: Storage IAM, Catalog Authorization, Encryption, Secrets, Audit, PII Handling, Data Retention, and Least Privilege: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter29/Lesson1.html

Planned02

Security and Governance: Storage IAM, Catalog Authorization, Encryption, Secrets, Audit, PII Handling, Data Retention, and Least Privilege: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter29/Lesson2.html

Planned03

Security and Governance: Storage IAM, Catalog Authorization, Encryption, Secrets, Audit, PII Handling, Data Retention, and Least Privilege: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter29/Lesson3.html

Planned04

Security and Governance: Storage IAM, Catalog Authorization, Encryption, Secrets, Audit, PII Handling, Data Retention, and Least Privilege: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter29/Lesson4.html

Planned05

Checkpoint Lab — Security and Governance: Storage IAM, Catalog Authorization, Encryption, Secrets, Audit, PII Handling, Data Retention, and Least Privilege: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter29/Lesson5.html

Planned

30

Chapter 30

Observability and Troubleshooting: Timeline Inspection, CLI/Procedures, Metrics, Failed Writes, Rollbacks, Index Drift, Compaction Backlog, and Corruption Triage

5 lessons

01

Observability and Troubleshooting: Timeline Inspection, CLI/Procedures, Metrics, Failed Writes, Rollbacks, Index Drift, Compaction Backlog, and Corruption Triage: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter30/Lesson1.html

Planned02

Observability and Troubleshooting: Timeline Inspection, CLI/Procedures, Metrics, Failed Writes, Rollbacks, Index Drift, Compaction Backlog, and Corruption Triage: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter30/Lesson2.html

Planned03

Observability and Troubleshooting: Timeline Inspection, CLI/Procedures, Metrics, Failed Writes, Rollbacks, Index Drift, Compaction Backlog, and Corruption Triage: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter30/Lesson3.html

Planned04

Observability and Troubleshooting: Timeline Inspection, CLI/Procedures, Metrics, Failed Writes, Rollbacks, Index Drift, Compaction Backlog, and Corruption Triage: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter30/Lesson4.html

Planned05

Checkpoint Lab — Observability and Troubleshooting: Timeline Inspection, CLI/Procedures, Metrics, Failed Writes, Rollbacks, Index Drift, Compaction Backlog, and Corruption Triage: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter30/Lesson5.html

Planned

31

Chapter 31

Migration, Upgrade, and Interoperability: Hudi Version/Table-Version Upgrades, Existing Lake Conversion, XTable Awareness, Engine Compatibility, and Rollback Gates

5 lessons

01

Migration, Upgrade, and Interoperability: Hudi Version/Table-Version Upgrades, Existing Lake Conversion, XTable Awareness, Engine Compatibility, and Rollback Gates: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter31/Lesson1.html

Planned02

Migration, Upgrade, and Interoperability: Hudi Version/Table-Version Upgrades, Existing Lake Conversion, XTable Awareness, Engine Compatibility, and Rollback Gates: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter31/Lesson2.html

Planned03

Migration, Upgrade, and Interoperability: Hudi Version/Table-Version Upgrades, Existing Lake Conversion, XTable Awareness, Engine Compatibility, and Rollback Gates: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter31/Lesson3.html

Planned04

Migration, Upgrade, and Interoperability: Hudi Version/Table-Version Upgrades, Existing Lake Conversion, XTable Awareness, Engine Compatibility, and Rollback Gates: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter31/Lesson4.html

Planned05

Checkpoint Lab — Migration, Upgrade, and Interoperability: Hudi Version/Table-Version Upgrades, Existing Lake Conversion, XTable Awareness, Engine Compatibility, and Rollback Gates: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter31/Lesson5.html

Planned

32

Chapter 32

Backup and Disaster Recovery: Timeline/Object Backups, Cross-Region Copies, Catalog Recovery, Restore Validation, RPO/RTO, and Failure Drills

5 lessons

01

Backup and Disaster Recovery: Timeline/Object Backups, Cross-Region Copies, Catalog Recovery, Restore Validation, RPO/RTO, and Failure Drills: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter32/Lesson1.html

Planned02

Backup and Disaster Recovery: Timeline/Object Backups, Cross-Region Copies, Catalog Recovery, Restore Validation, RPO/RTO, and Failure Drills: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter32/Lesson2.html

Planned03

Backup and Disaster Recovery: Timeline/Object Backups, Cross-Region Copies, Catalog Recovery, Restore Validation, RPO/RTO, and Failure Drills: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter32/Lesson3.html

Planned04

Backup and Disaster Recovery: Timeline/Object Backups, Cross-Region Copies, Catalog Recovery, Restore Validation, RPO/RTO, and Failure Drills: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter32/Lesson4.html

Planned05

Checkpoint Lab — Backup and Disaster Recovery: Timeline/Object Backups, Cross-Region Copies, Catalog Recovery, Restore Validation, RPO/RTO, and Failure Drills: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter32/Lesson5.html

Planned

33

Chapter 33

Production Capstone: Ingest, Upsert, Index, Compact, Cluster, Stream, Query Incrementally, Secure, Observe, Fail, Recover, and Tune Hudi 1.2

5 lessons

01

Production Capstone: Ingest, Upsert, Index, Compact, Cluster, Stream, Query Incrementally, Secure, Observe, Fail, Recover, and Tune Hudi 1.2: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter33/Lesson1.html

Planned02

Production Capstone: Ingest, Upsert, Index, Compact, Cluster, Stream, Query Incrementally, Secure, Observe, Fail, Recover, and Tune Hudi 1.2: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter33/Lesson2.html

Planned03

Production Capstone: Ingest, Upsert, Index, Compact, Cluster, Stream, Query Incrementally, Secure, Observe, Fail, Recover, and Tune Hudi 1.2: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter33/Lesson3.html

Planned04

Production Capstone: Ingest, Upsert, Index, Compact, Cluster, Stream, Query Incrementally, Secure, Observe, Fail, Recover, and Tune Hudi 1.2: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter33/Lesson4.html

Planned05

Checkpoint Lab — Production Capstone: Ingest, Upsert, Index, Compact, Cluster, Stream, Query Incrementally, Secure, Observe, Fail, Recover, and Tune Hudi 1.2: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter33/Lesson5.html

Planned