Curriculum planned

Stage 06 · Hadoop Ecosystem

Apache Hive

A comprehensive Apache Hive course covering HiveQL, HiveServer2 and Beeline, the Hive Metastore, managed/external tables, partitions and bucketing, ORC/Parquet, joins and analytics, Tez execution, statistics and CBO, ACID transactions and compaction, materialized views, UDFs/SerDes/storage handlers, security, workload management, replication, Iceberg integration, performance tuning, observability, upgrades, and production data-warehouse/lake design.

Browse planned curriculum Back to all courses

34planned chapters

170reserved lesson paths

Intermediate → Advancedlearning level

Plannedcourse state

Coverage baselineApache Hive 4.2.0 baseline with JDK 21, Hadoop 3.4.1 and Tez 0.10.5 compatibility, modern standalone Hive Metastore, ACID/compaction, Iceberg enhancements, catalog capabilities, security, and production operations

Course brief

Build and operate Hive as a SQL and metadata layer over large data sets, understanding how logical SQL, metastore metadata, storage layout, Tez execution, table formats, transactions, and object/HDFS storage interact.

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

Write advanced HiveQL and design table/partition/bucket layouts around real scan, join, aggregation, and retention workloads
Operate HiveServer2 and the standalone Hive Metastore with secure connectivity, high availability, backups, observability, and schema upgrades
Use statistics, EXPLAIN, Tez, vectorization, ORC/Parquet, CBO, dynamic partition pruning, and execution evidence to tune queries
Implement transactional Hive tables, compaction, replication, materialized views, custom functions, storage handlers, and modern Iceberg integration
Design a production warehouse/lake architecture with governance, security, recovery, workload isolation, migration, and measured performance

Complete planned syllabus

34 chapters · 170 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.

Chapter 1

Hive Foundations: SQL-on-Hadoop Role, Modern Use Cases, Architecture, Editions, and Reproducible Lab Setup

5 lessons

Hive Foundations: SQL-on-Hadoop Role, Modern Use Cases, Architecture, Editions, and Reproducible Lab Setup: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter01/Lesson1.html

Planned02

Hive Foundations: SQL-on-Hadoop Role, Modern Use Cases, Architecture, Editions, and Reproducible Lab Setup: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter01/Lesson2.html

Planned03

Hive Foundations: SQL-on-Hadoop Role, Modern Use Cases, Architecture, Editions, and Reproducible Lab Setup: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter01/Lesson3.html

Planned04

Hive Foundations: SQL-on-Hadoop Role, Modern Use Cases, Architecture, Editions, and Reproducible Lab Setup: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter01/Lesson4.html

Planned05

Checkpoint Lab — Hive Foundations: SQL-on-Hadoop Role, Modern Use Cases, Architecture, Editions, and Reproducible Lab Setup: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter01/Lesson5.html

Planned

Chapter 2

Hive 4.2 Runtime Baseline: JDK 21, Hadoop 3.4.1, Tez 0.10.5, Components, Configuration, and Compatibility

5 lessons

Hive 4.2 Runtime Baseline: JDK 21, Hadoop 3.4.1, Tez 0.10.5, Components, Configuration, and Compatibility: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter02/Lesson1.html

Planned02

Hive 4.2 Runtime Baseline: JDK 21, Hadoop 3.4.1, Tez 0.10.5, Components, Configuration, and Compatibility: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter02/Lesson2.html

Planned03

Hive 4.2 Runtime Baseline: JDK 21, Hadoop 3.4.1, Tez 0.10.5, Components, Configuration, and Compatibility: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter02/Lesson3.html

Planned04

Hive 4.2 Runtime Baseline: JDK 21, Hadoop 3.4.1, Tez 0.10.5, Components, Configuration, and Compatibility: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter02/Lesson4.html

Planned05

Checkpoint Lab — Hive 4.2 Runtime Baseline: JDK 21, Hadoop 3.4.1, Tez 0.10.5, Components, Configuration, and Compatibility: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter02/Lesson5.html

Planned

Chapter 3

HiveServer2 and Beeline: Sessions, JDBC/ODBC, Authentication, Configuration, Concurrency, and Troubleshooting

5 lessons

HiveServer2 and Beeline: Sessions, JDBC/ODBC, Authentication, Configuration, Concurrency, and Troubleshooting: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter03/Lesson1.html

Planned02

HiveServer2 and Beeline: Sessions, JDBC/ODBC, Authentication, Configuration, Concurrency, and Troubleshooting: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter03/Lesson2.html

Planned03

HiveServer2 and Beeline: Sessions, JDBC/ODBC, Authentication, Configuration, Concurrency, and Troubleshooting: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter03/Lesson3.html

Planned04

HiveServer2 and Beeline: Sessions, JDBC/ODBC, Authentication, Configuration, Concurrency, and Troubleshooting: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter03/Lesson4.html

Planned05

Checkpoint Lab — HiveServer2 and Beeline: Sessions, JDBC/ODBC, Authentication, Configuration, Concurrency, and Troubleshooting: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter03/Lesson5.html

Planned

Chapter 4

Hive Metastore Architecture: Catalog, Databases, Tables, Partitions, Statistics, Thrift API, and Standalone Service

5 lessons

Hive Metastore Architecture: Catalog, Databases, Tables, Partitions, Statistics, Thrift API, and Standalone Service: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter04/Lesson1.html

Planned02

Hive Metastore Architecture: Catalog, Databases, Tables, Partitions, Statistics, Thrift API, and Standalone Service: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter04/Lesson2.html

Planned03

Hive Metastore Architecture: Catalog, Databases, Tables, Partitions, Statistics, Thrift API, and Standalone Service: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter04/Lesson3.html

Planned04

Hive Metastore Architecture: Catalog, Databases, Tables, Partitions, Statistics, Thrift API, and Standalone Service: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter04/Lesson4.html

Planned05

Checkpoint Lab — Hive Metastore Architecture: Catalog, Databases, Tables, Partitions, Statistics, Thrift API, and Standalone Service: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter04/Lesson5.html

Planned

Chapter 5

Metastore Backing Database: Schema Initialization, Connection Pools, HA, Backup, Upgrade, and Consistency

5 lessons

Metastore Backing Database: Schema Initialization, Connection Pools, HA, Backup, Upgrade, and Consistency: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter05/Lesson1.html

Planned02

Metastore Backing Database: Schema Initialization, Connection Pools, HA, Backup, Upgrade, and Consistency: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter05/Lesson2.html

Planned03

Metastore Backing Database: Schema Initialization, Connection Pools, HA, Backup, Upgrade, and Consistency: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter05/Lesson3.html

Planned04

Metastore Backing Database: Schema Initialization, Connection Pools, HA, Backup, Upgrade, and Consistency: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter05/Lesson4.html

Planned05

Checkpoint Lab — Metastore Backing Database: Schema Initialization, Connection Pools, HA, Backup, Upgrade, and Consistency: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter05/Lesson5.html

Planned

Chapter 6

Databases, Managed Tables, External Tables, Locations, Ownership, PURGE, and Data-Lifecycle Semantics

5 lessons

Databases, Managed Tables, External Tables, Locations, Ownership, PURGE, and Data-Lifecycle Semantics: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter06/Lesson1.html

Planned02

Databases, Managed Tables, External Tables, Locations, Ownership, PURGE, and Data-Lifecycle Semantics: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter06/Lesson2.html

Planned03

Databases, Managed Tables, External Tables, Locations, Ownership, PURGE, and Data-Lifecycle Semantics: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter06/Lesson3.html

Planned04

Databases, Managed Tables, External Tables, Locations, Ownership, PURGE, and Data-Lifecycle Semantics: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter06/Lesson4.html

Planned05

Checkpoint Lab — Databases, Managed Tables, External Tables, Locations, Ownership, PURGE, and Data-Lifecycle Semantics: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter06/Lesson5.html

Planned

Chapter 7

Hive Data Types: Primitive, Decimal, Date/Timestamp, Arrays, Maps, Structs, Unions, Nulls, and Casting

5 lessons

Hive Data Types: Primitive, Decimal, Date/Timestamp, Arrays, Maps, Structs, Unions, Nulls, and Casting: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter07/Lesson1.html

Planned02

Hive Data Types: Primitive, Decimal, Date/Timestamp, Arrays, Maps, Structs, Unions, Nulls, and Casting: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter07/Lesson2.html

Planned03

Hive Data Types: Primitive, Decimal, Date/Timestamp, Arrays, Maps, Structs, Unions, Nulls, and Casting: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter07/Lesson3.html

Planned04

Hive Data Types: Primitive, Decimal, Date/Timestamp, Arrays, Maps, Structs, Unions, Nulls, and Casting: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter07/Lesson4.html

Planned05

Checkpoint Lab — Hive Data Types: Primitive, Decimal, Date/Timestamp, Arrays, Maps, Structs, Unions, Nulls, and Casting: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter07/Lesson5.html

Planned

Chapter 8

DDL and Schema Evolution: CREATE/ALTER/DROP, Constraints, Defaults, Column Changes, and Compatibility

5 lessons

DDL and Schema Evolution: CREATE/ALTER/DROP, Constraints, Defaults, Column Changes, and Compatibility: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter08/Lesson1.html

Planned02

DDL and Schema Evolution: CREATE/ALTER/DROP, Constraints, Defaults, Column Changes, and Compatibility: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter08/Lesson2.html

Planned03

DDL and Schema Evolution: CREATE/ALTER/DROP, Constraints, Defaults, Column Changes, and Compatibility: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter08/Lesson3.html

Planned04

DDL and Schema Evolution: CREATE/ALTER/DROP, Constraints, Defaults, Column Changes, and Compatibility: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter08/Lesson4.html

Planned05

Checkpoint Lab — DDL and Schema Evolution: CREATE/ALTER/DROP, Constraints, Defaults, Column Changes, and Compatibility: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter08/Lesson5.html

Planned

Chapter 9

Data Ingestion and DML: LOAD, INSERT, INSERT OVERWRITE, Multi-Insert, CTAS, MERGE, and Incremental Loads

5 lessons

Data Ingestion and DML: LOAD, INSERT, INSERT OVERWRITE, Multi-Insert, CTAS, MERGE, and Incremental Loads: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter09/Lesson1.html

Planned02

Data Ingestion and DML: LOAD, INSERT, INSERT OVERWRITE, Multi-Insert, CTAS, MERGE, and Incremental Loads: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter09/Lesson2.html

Planned03

Data Ingestion and DML: LOAD, INSERT, INSERT OVERWRITE, Multi-Insert, CTAS, MERGE, and Incremental Loads: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter09/Lesson3.html

Planned04

Data Ingestion and DML: LOAD, INSERT, INSERT OVERWRITE, Multi-Insert, CTAS, MERGE, and Incremental Loads: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter09/Lesson4.html

Planned05

Checkpoint Lab — Data Ingestion and DML: LOAD, INSERT, INSERT OVERWRITE, Multi-Insert, CTAS, MERGE, and Incremental Loads: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter09/Lesson5.html

Planned

Chapter 10

Partitions: Static/Dynamic Partitioning, Pruning, Discovery/Repair, Projection Concepts, and Partition Explosion

5 lessons

Partitions: Static/Dynamic Partitioning, Pruning, Discovery/Repair, Projection Concepts, and Partition Explosion: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter10/Lesson1.html

Planned02

Partitions: Static/Dynamic Partitioning, Pruning, Discovery/Repair, Projection Concepts, and Partition Explosion: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter10/Lesson2.html

Planned03

Partitions: Static/Dynamic Partitioning, Pruning, Discovery/Repair, Projection Concepts, and Partition Explosion: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter10/Lesson3.html

Planned04

Partitions: Static/Dynamic Partitioning, Pruning, Discovery/Repair, Projection Concepts, and Partition Explosion: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter10/Lesson4.html

Planned05

Checkpoint Lab — Partitions: Static/Dynamic Partitioning, Pruning, Discovery/Repair, Projection Concepts, and Partition Explosion: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter10/Lesson5.html

Planned

Chapter 11

Bucketing and Sorting: Hash Distribution, Bucketed Joins, Sampling, Physical Layout, and When Bucketing Helps

5 lessons

Bucketing and Sorting: Hash Distribution, Bucketed Joins, Sampling, Physical Layout, and When Bucketing Helps: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter11/Lesson1.html

Planned02

Bucketing and Sorting: Hash Distribution, Bucketed Joins, Sampling, Physical Layout, and When Bucketing Helps: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter11/Lesson2.html

Planned03

Bucketing and Sorting: Hash Distribution, Bucketed Joins, Sampling, Physical Layout, and When Bucketing Helps: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter11/Lesson3.html

Planned04

Bucketing and Sorting: Hash Distribution, Bucketed Joins, Sampling, Physical Layout, and When Bucketing Helps: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter11/Lesson4.html

Planned05

Checkpoint Lab — Bucketing and Sorting: Hash Distribution, Bucketed Joins, Sampling, Physical Layout, and When Bucketing Helps: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter11/Lesson5.html

Planned

Chapter 12

Text/CSV/JSON Input: SerDes, Delimiters, Malformed Records, Schema-on-Read, and Migration to Columnar Formats

5 lessons

Text/CSV/JSON Input: SerDes, Delimiters, Malformed Records, Schema-on-Read, and Migration to Columnar Formats: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter12/Lesson1.html

Planned02

Text/CSV/JSON Input: SerDes, Delimiters, Malformed Records, Schema-on-Read, and Migration to Columnar Formats: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter12/Lesson2.html

Planned03

Text/CSV/JSON Input: SerDes, Delimiters, Malformed Records, Schema-on-Read, and Migration to Columnar Formats: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter12/Lesson3.html

Planned04

Text/CSV/JSON Input: SerDes, Delimiters, Malformed Records, Schema-on-Read, and Migration to Columnar Formats: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter12/Lesson4.html

Planned05

Checkpoint Lab — Text/CSV/JSON Input: SerDes, Delimiters, Malformed Records, Schema-on-Read, and Migration to Columnar Formats: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter12/Lesson5.html

Planned

Chapter 13

ORC in Hive: Stripes, Row Groups, Indexes, Statistics, Compression, Predicate Pushdown, and Vectorized Reads

5 lessons

ORC in Hive: Stripes, Row Groups, Indexes, Statistics, Compression, Predicate Pushdown, and Vectorized Reads: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter13/Lesson1.html

Planned02

ORC in Hive: Stripes, Row Groups, Indexes, Statistics, Compression, Predicate Pushdown, and Vectorized Reads: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter13/Lesson2.html

Planned03

ORC in Hive: Stripes, Row Groups, Indexes, Statistics, Compression, Predicate Pushdown, and Vectorized Reads: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter13/Lesson3.html

Planned04

ORC in Hive: Stripes, Row Groups, Indexes, Statistics, Compression, Predicate Pushdown, and Vectorized Reads: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter13/Lesson4.html

Planned05

Checkpoint Lab — ORC in Hive: Stripes, Row Groups, Indexes, Statistics, Compression, Predicate Pushdown, and Vectorized Reads: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter13/Lesson5.html

Planned

Chapter 14

Parquet in Hive: Row Groups, Encodings, Statistics, Nested Schemas, Predicate Pushdown, and Interoperability

5 lessons

Parquet in Hive: Row Groups, Encodings, Statistics, Nested Schemas, Predicate Pushdown, and Interoperability: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter14/Lesson1.html

Planned02

Parquet in Hive: Row Groups, Encodings, Statistics, Nested Schemas, Predicate Pushdown, and Interoperability: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter14/Lesson2.html

Planned03

Parquet in Hive: Row Groups, Encodings, Statistics, Nested Schemas, Predicate Pushdown, and Interoperability: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter14/Lesson3.html

Planned04

Parquet in Hive: Row Groups, Encodings, Statistics, Nested Schemas, Predicate Pushdown, and Interoperability: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter14/Lesson4.html

Planned05

Checkpoint Lab — Parquet in Hive: Row Groups, Encodings, Statistics, Nested Schemas, Predicate Pushdown, and Interoperability: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter14/Lesson5.html

Planned

Chapter 15

HiveQL Querying: SELECT, Expressions, Functions, CTEs, Subqueries, Set Operations, and LATERAL VIEW

5 lessons

HiveQL Querying: SELECT, Expressions, Functions, CTEs, Subqueries, Set Operations, and LATERAL VIEW: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter15/Lesson1.html

Planned02

HiveQL Querying: SELECT, Expressions, Functions, CTEs, Subqueries, Set Operations, and LATERAL VIEW: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter15/Lesson2.html

Planned03

HiveQL Querying: SELECT, Expressions, Functions, CTEs, Subqueries, Set Operations, and LATERAL VIEW: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter15/Lesson3.html

Planned04

HiveQL Querying: SELECT, Expressions, Functions, CTEs, Subqueries, Set Operations, and LATERAL VIEW: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter15/Lesson4.html

Planned05

Checkpoint Lab — HiveQL Querying: SELECT, Expressions, Functions, CTEs, Subqueries, Set Operations, and LATERAL VIEW: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter15/Lesson5.html

Planned

Chapter 16

Joins: Map-Side/Broadcast, Shuffle, Sort-Merge, Bucketed Joins, Skew, Join Reordering, and Null Semantics

5 lessons

Joins: Map-Side/Broadcast, Shuffle, Sort-Merge, Bucketed Joins, Skew, Join Reordering, and Null Semantics: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter16/Lesson1.html

Planned02

Joins: Map-Side/Broadcast, Shuffle, Sort-Merge, Bucketed Joins, Skew, Join Reordering, and Null Semantics: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter16/Lesson2.html

Planned03

Joins: Map-Side/Broadcast, Shuffle, Sort-Merge, Bucketed Joins, Skew, Join Reordering, and Null Semantics: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter16/Lesson3.html

Planned04

Joins: Map-Side/Broadcast, Shuffle, Sort-Merge, Bucketed Joins, Skew, Join Reordering, and Null Semantics: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter16/Lesson4.html

Planned05

Checkpoint Lab — Joins: Map-Side/Broadcast, Shuffle, Sort-Merge, Bucketed Joins, Skew, Join Reordering, and Null Semantics: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter16/Lesson5.html

Planned

Chapter 17

Aggregations, GROUPING SETS, CUBE/ROLLUP, Window Functions, Ranking, Sampling, and Analytical SQL

5 lessons

Aggregations, GROUPING SETS, CUBE/ROLLUP, Window Functions, Ranking, Sampling, and Analytical SQL: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter17/Lesson1.html

Planned02

Aggregations, GROUPING SETS, CUBE/ROLLUP, Window Functions, Ranking, Sampling, and Analytical SQL: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter17/Lesson2.html

Planned03

Aggregations, GROUPING SETS, CUBE/ROLLUP, Window Functions, Ranking, Sampling, and Analytical SQL: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter17/Lesson3.html

Planned04

Aggregations, GROUPING SETS, CUBE/ROLLUP, Window Functions, Ranking, Sampling, and Analytical SQL: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter17/Lesson4.html

Planned05

Checkpoint Lab — Aggregations, GROUPING SETS, CUBE/ROLLUP, Window Functions, Ranking, Sampling, and Analytical SQL: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter17/Lesson5.html

Planned

Chapter 18

Execution on Apache Tez: DAGs, Vertices, Edges, Containers, Parallelism, Shuffle, and Failure Recovery

5 lessons

Execution on Apache Tez: DAGs, Vertices, Edges, Containers, Parallelism, Shuffle, and Failure Recovery: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter18/Lesson1.html

Planned02

Execution on Apache Tez: DAGs, Vertices, Edges, Containers, Parallelism, Shuffle, and Failure Recovery: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter18/Lesson2.html

Planned03

Execution on Apache Tez: DAGs, Vertices, Edges, Containers, Parallelism, Shuffle, and Failure Recovery: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter18/Lesson3.html

Planned04

Execution on Apache Tez: DAGs, Vertices, Edges, Containers, Parallelism, Shuffle, and Failure Recovery: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter18/Lesson4.html

Planned05

Checkpoint Lab — Execution on Apache Tez: DAGs, Vertices, Edges, Containers, Parallelism, Shuffle, and Failure Recovery: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter18/Lesson5.html

Planned

Chapter 19

EXPLAIN and Query Plans: Logical/Physical Operators, Stage DAGs, Statistics, Vectorization, and Bottleneck Diagnosis

5 lessons

EXPLAIN and Query Plans: Logical/Physical Operators, Stage DAGs, Statistics, Vectorization, and Bottleneck Diagnosis: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter19/Lesson1.html

Planned02

EXPLAIN and Query Plans: Logical/Physical Operators, Stage DAGs, Statistics, Vectorization, and Bottleneck Diagnosis: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter19/Lesson2.html

Planned03

EXPLAIN and Query Plans: Logical/Physical Operators, Stage DAGs, Statistics, Vectorization, and Bottleneck Diagnosis: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter19/Lesson3.html

Planned04

EXPLAIN and Query Plans: Logical/Physical Operators, Stage DAGs, Statistics, Vectorization, and Bottleneck Diagnosis: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter19/Lesson4.html

Planned05

Checkpoint Lab — EXPLAIN and Query Plans: Logical/Physical Operators, Stage DAGs, Statistics, Vectorization, and Bottleneck Diagnosis: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter19/Lesson5.html

Planned

Chapter 20

Statistics and Cost-Based Optimization: ANALYZE, NDV/Histograms, CBO, Join Order, and Stale-Statistics Risks

5 lessons

Statistics and Cost-Based Optimization: ANALYZE, NDV/Histograms, CBO, Join Order, and Stale-Statistics Risks: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter20/Lesson1.html

Planned02

Statistics and Cost-Based Optimization: ANALYZE, NDV/Histograms, CBO, Join Order, and Stale-Statistics Risks: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter20/Lesson2.html

Planned03

Statistics and Cost-Based Optimization: ANALYZE, NDV/Histograms, CBO, Join Order, and Stale-Statistics Risks: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter20/Lesson3.html

Planned04

Statistics and Cost-Based Optimization: ANALYZE, NDV/Histograms, CBO, Join Order, and Stale-Statistics Risks: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter20/Lesson4.html

Planned05

Checkpoint Lab — Statistics and Cost-Based Optimization: ANALYZE, NDV/Histograms, CBO, Join Order, and Stale-Statistics Risks: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter20/Lesson5.html

Planned

Chapter 21

Performance Engineering: Partition Pruning, Dynamic Partition Pruning, Vectorization, Parallelism, Compression, and Small Files

5 lessons

Performance Engineering: Partition Pruning, Dynamic Partition Pruning, Vectorization, Parallelism, Compression, and Small Files: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter21/Lesson1.html

Planned02

Performance Engineering: Partition Pruning, Dynamic Partition Pruning, Vectorization, Parallelism, Compression, and Small Files: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter21/Lesson2.html

Planned03

Performance Engineering: Partition Pruning, Dynamic Partition Pruning, Vectorization, Parallelism, Compression, and Small Files: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter21/Lesson3.html

Planned04

Performance Engineering: Partition Pruning, Dynamic Partition Pruning, Vectorization, Parallelism, Compression, and Small Files: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter21/Lesson4.html

Planned05

Checkpoint Lab — Performance Engineering: Partition Pruning, Dynamic Partition Pruning, Vectorization, Parallelism, Compression, and Small Files: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter21/Lesson5.html

Planned

Chapter 22

Memory, Spill, Shuffle, Skew, Container Sizing, Tez Session Reuse, Queue Selection, and Tail-Latency Tuning

5 lessons

Memory, Spill, Shuffle, Skew, Container Sizing, Tez Session Reuse, Queue Selection, and Tail-Latency Tuning: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter22/Lesson1.html

Planned02

Memory, Spill, Shuffle, Skew, Container Sizing, Tez Session Reuse, Queue Selection, and Tail-Latency Tuning: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter22/Lesson2.html

Planned03

Memory, Spill, Shuffle, Skew, Container Sizing, Tez Session Reuse, Queue Selection, and Tail-Latency Tuning: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter22/Lesson3.html

Planned04

Memory, Spill, Shuffle, Skew, Container Sizing, Tez Session Reuse, Queue Selection, and Tail-Latency Tuning: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter22/Lesson4.html

Planned05

Checkpoint Lab — Memory, Spill, Shuffle, Skew, Container Sizing, Tez Session Reuse, Queue Selection, and Tail-Latency Tuning: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter22/Lesson5.html

Planned

Chapter 23

ACID Transactions: Transaction Manager, Write IDs, Base/Delta/Delete-Delta Files, MERGE/UPDATE/DELETE, and Isolation

5 lessons

ACID Transactions: Transaction Manager, Write IDs, Base/Delta/Delete-Delta Files, MERGE/UPDATE/DELETE, and Isolation: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter23/Lesson1.html

Planned02

ACID Transactions: Transaction Manager, Write IDs, Base/Delta/Delete-Delta Files, MERGE/UPDATE/DELETE, and Isolation: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter23/Lesson2.html

Planned03

ACID Transactions: Transaction Manager, Write IDs, Base/Delta/Delete-Delta Files, MERGE/UPDATE/DELETE, and Isolation: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter23/Lesson3.html

Planned04

ACID Transactions: Transaction Manager, Write IDs, Base/Delta/Delete-Delta Files, MERGE/UPDATE/DELETE, and Isolation: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter23/Lesson4.html

Planned05

Checkpoint Lab — ACID Transactions: Transaction Manager, Write IDs, Base/Delta/Delete-Delta Files, MERGE/UPDATE/DELETE, and Isolation: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter23/Lesson5.html

Planned

Chapter 24

Compaction: Minor/Major Compaction, Initiator/Worker/Cleaner, Thresholds, Backlog, Failed Compactions, and Tuning

5 lessons

Compaction: Minor/Major Compaction, Initiator/Worker/Cleaner, Thresholds, Backlog, Failed Compactions, and Tuning: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter24/Lesson1.html

Planned02

Compaction: Minor/Major Compaction, Initiator/Worker/Cleaner, Thresholds, Backlog, Failed Compactions, and Tuning: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter24/Lesson2.html

Planned03

Compaction: Minor/Major Compaction, Initiator/Worker/Cleaner, Thresholds, Backlog, Failed Compactions, and Tuning: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter24/Lesson3.html

Planned04

Compaction: Minor/Major Compaction, Initiator/Worker/Cleaner, Thresholds, Backlog, Failed Compactions, and Tuning: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter24/Lesson4.html

Planned05

Checkpoint Lab — Compaction: Minor/Major Compaction, Initiator/Worker/Cleaner, Thresholds, Backlog, Failed Compactions, and Tuning: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter24/Lesson5.html

Planned

Chapter 25

Materialized Views, Query Rewriting, Incremental/Rebuild Strategies, Freshness, and Precomputation Tradeoffs

5 lessons

Materialized Views, Query Rewriting, Incremental/Rebuild Strategies, Freshness, and Precomputation Tradeoffs: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter25/Lesson1.html

Planned02

Materialized Views, Query Rewriting, Incremental/Rebuild Strategies, Freshness, and Precomputation Tradeoffs: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter25/Lesson2.html

Planned03

Materialized Views, Query Rewriting, Incremental/Rebuild Strategies, Freshness, and Precomputation Tradeoffs: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter25/Lesson3.html

Planned04

Materialized Views, Query Rewriting, Incremental/Rebuild Strategies, Freshness, and Precomputation Tradeoffs: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter25/Lesson4.html

Planned05

Checkpoint Lab — Materialized Views, Query Rewriting, Incremental/Rebuild Strategies, Freshness, and Precomputation Tradeoffs: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter25/Lesson5.html

Planned

Chapter 26

Functions and Extensibility: Built-Ins, UDF/UDAF/UDTF, Java Packaging, Classloading, Determinism, and Security

5 lessons

Functions and Extensibility: Built-Ins, UDF/UDAF/UDTF, Java Packaging, Classloading, Determinism, and Security: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter26/Lesson1.html

Planned02

Functions and Extensibility: Built-Ins, UDF/UDAF/UDTF, Java Packaging, Classloading, Determinism, and Security: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter26/Lesson2.html

Planned03

Functions and Extensibility: Built-Ins, UDF/UDAF/UDTF, Java Packaging, Classloading, Determinism, and Security: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter26/Lesson3.html

Planned04

Functions and Extensibility: Built-Ins, UDF/UDAF/UDTF, Java Packaging, Classloading, Determinism, and Security: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter26/Lesson4.html

Planned05

Checkpoint Lab — Functions and Extensibility: Built-Ins, UDF/UDAF/UDTF, Java Packaging, Classloading, Determinism, and Security: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter26/Lesson5.html

Planned

Chapter 27

SerDes and Storage Handlers: Custom Formats, External Systems, HBase Integration, and Connector Design

5 lessons

SerDes and Storage Handlers: Custom Formats, External Systems, HBase Integration, and Connector Design: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter27/Lesson1.html

Planned02

SerDes and Storage Handlers: Custom Formats, External Systems, HBase Integration, and Connector Design: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter27/Lesson2.html

Planned03

SerDes and Storage Handlers: Custom Formats, External Systems, HBase Integration, and Connector Design: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter27/Lesson3.html

Planned04

SerDes and Storage Handlers: Custom Formats, External Systems, HBase Integration, and Connector Design: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter27/Lesson4.html

Planned05

Checkpoint Lab — SerDes and Storage Handlers: Custom Formats, External Systems, HBase Integration, and Connector Design: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter27/Lesson5.html

Planned

Chapter 28

Apache Iceberg with Hive 4.2: Catalogs, Table Operations, Deletes, Compaction, REST Catalog, Views, and Evolution

5 lessons

Apache Iceberg with Hive 4.2: Catalogs, Table Operations, Deletes, Compaction, REST Catalog, Views, and Evolution: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter28/Lesson1.html

Planned02

Apache Iceberg with Hive 4.2: Catalogs, Table Operations, Deletes, Compaction, REST Catalog, Views, and Evolution: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter28/Lesson2.html

Planned03

Apache Iceberg with Hive 4.2: Catalogs, Table Operations, Deletes, Compaction, REST Catalog, Views, and Evolution: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter28/Lesson3.html

Planned04

Apache Iceberg with Hive 4.2: Catalogs, Table Operations, Deletes, Compaction, REST Catalog, Views, and Evolution: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter28/Lesson4.html

Planned05

Checkpoint Lab — Apache Iceberg with Hive 4.2: Catalogs, Table Operations, Deletes, Compaction, REST Catalog, Views, and Evolution: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter28/Lesson5.html

Planned

Chapter 29

Authorization and Security: Kerberos, TLS, SQL Standard Authorization, Ranger-Compatible Models, Impersonation, and Secrets

5 lessons

Authorization and Security: Kerberos, TLS, SQL Standard Authorization, Ranger-Compatible Models, Impersonation, and Secrets: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter29/Lesson1.html

Planned02

Authorization and Security: Kerberos, TLS, SQL Standard Authorization, Ranger-Compatible Models, Impersonation, and Secrets: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter29/Lesson2.html

Planned03

Authorization and Security: Kerberos, TLS, SQL Standard Authorization, Ranger-Compatible Models, Impersonation, and Secrets: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter29/Lesson3.html

Planned04

Authorization and Security: Kerberos, TLS, SQL Standard Authorization, Ranger-Compatible Models, Impersonation, and Secrets: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter29/Lesson4.html

Planned05

Checkpoint Lab — Authorization and Security: Kerberos, TLS, SQL Standard Authorization, Ranger-Compatible Models, Impersonation, and Secrets: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter29/Lesson5.html

Planned

Chapter 30

Workload Management, Queues, Resource Plans, Admission/Concurrency, Query Limits, and Multi-Tenant Governance

5 lessons

Workload Management, Queues, Resource Plans, Admission/Concurrency, Query Limits, and Multi-Tenant Governance: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter30/Lesson1.html

Planned02

Workload Management, Queues, Resource Plans, Admission/Concurrency, Query Limits, and Multi-Tenant Governance: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter30/Lesson2.html

Planned03

Workload Management, Queues, Resource Plans, Admission/Concurrency, Query Limits, and Multi-Tenant Governance: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter30/Lesson3.html

Planned04

Workload Management, Queues, Resource Plans, Admission/Concurrency, Query Limits, and Multi-Tenant Governance: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter30/Lesson4.html

Planned05

Checkpoint Lab — Workload Management, Queues, Resource Plans, Admission/Concurrency, Query Limits, and Multi-Tenant Governance: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter30/Lesson5.html

Planned

Chapter 31

Replication and Disaster Recovery: REPL DUMP/LOAD, Incremental Events, Metadata/Data Recovery, and RPO/RTO

5 lessons

Replication and Disaster Recovery: REPL DUMP/LOAD, Incremental Events, Metadata/Data Recovery, and RPO/RTO: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter31/Lesson1.html

Planned02

Replication and Disaster Recovery: REPL DUMP/LOAD, Incremental Events, Metadata/Data Recovery, and RPO/RTO: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter31/Lesson2.html

Planned03

Replication and Disaster Recovery: REPL DUMP/LOAD, Incremental Events, Metadata/Data Recovery, and RPO/RTO: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter31/Lesson3.html

Planned04

Replication and Disaster Recovery: REPL DUMP/LOAD, Incremental Events, Metadata/Data Recovery, and RPO/RTO: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter31/Lesson4.html

Planned05

Checkpoint Lab — Replication and Disaster Recovery: REPL DUMP/LOAD, Incremental Events, Metadata/Data Recovery, and RPO/RTO: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter31/Lesson5.html

Planned

Chapter 32

Observability and Operations: HS2/Metastore/Tez Metrics, Logs, Query History, Compaction Health, and Capacity Forecasting

5 lessons

Observability and Operations: HS2/Metastore/Tez Metrics, Logs, Query History, Compaction Health, and Capacity Forecasting: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter32/Lesson1.html

Planned02

Observability and Operations: HS2/Metastore/Tez Metrics, Logs, Query History, Compaction Health, and Capacity Forecasting: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter32/Lesson2.html

Planned03

Observability and Operations: HS2/Metastore/Tez Metrics, Logs, Query History, Compaction Health, and Capacity Forecasting: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter32/Lesson3.html

Planned04

Observability and Operations: HS2/Metastore/Tez Metrics, Logs, Query History, Compaction Health, and Capacity Forecasting: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter32/Lesson4.html

Planned05

Checkpoint Lab — Observability and Operations: HS2/Metastore/Tez Metrics, Logs, Query History, Compaction Health, and Capacity Forecasting: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter32/Lesson5.html

Planned

Chapter 33

Compatibility, Migration, and Upgrades: Hive 3→4.x, Metastore Schema Evolution, Client Drivers, and Rollback Planning

5 lessons

Compatibility, Migration, and Upgrades: Hive 3→4.x, Metastore Schema Evolution, Client Drivers, and Rollback Planning: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter33/Lesson1.html

Planned02

Compatibility, Migration, and Upgrades: Hive 3→4.x, Metastore Schema Evolution, Client Drivers, and Rollback Planning: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter33/Lesson2.html

Planned03

Compatibility, Migration, and Upgrades: Hive 3→4.x, Metastore Schema Evolution, Client Drivers, and Rollback Planning: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter33/Lesson3.html

Planned04

Compatibility, Migration, and Upgrades: Hive 3→4.x, Metastore Schema Evolution, Client Drivers, and Rollback Planning: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter33/Lesson4.html

Planned05

Checkpoint Lab — Compatibility, Migration, and Upgrades: Hive 3→4.x, Metastore Schema Evolution, Client Drivers, and Rollback Planning: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter33/Lesson5.html

Planned

Chapter 34

Production Capstone: Build, Secure, Tune, Replicate, Recover, and Operate a Hive 4.2 Warehouse/Lake Environment

5 lessons

Production Capstone: Build, Secure, Tune, Replicate, Recover, and Operate a Hive 4.2 Warehouse/Lake Environment: Concepts, Terminology, Architecture, and Mental ModelPlanned lesson · reserved path Chapter34/Lesson1.html

Planned02

Production Capstone: Build, Secure, Tune, Replicate, Recover, and Operate a Hive 4.2 Warehouse/Lake Environment: Guided Hands-On Workflow, Commands, APIs, and ConfigurationPlanned lesson · reserved path Chapter34/Lesson2.html

Planned03

Production Capstone: Build, Secure, Tune, Replicate, Recover, and Operate a Hive 4.2 Warehouse/Lake Environment: Design Choices, Scaling Behavior, Compatibility, and TradeoffsPlanned lesson · reserved path Chapter34/Lesson3.html

Planned04

Production Capstone: Build, Secure, Tune, Replicate, Recover, and Operate a Hive 4.2 Warehouse/Lake Environment: Failure Modes, Diagnostics, Security, Reliability, and PerformancePlanned lesson · reserved path Chapter34/Lesson4.html

Planned05

Checkpoint Lab — Production Capstone: Build, Secure, Tune, Replicate, Recover, and Operate a Hive 4.2 Warehouse/Lake Environment: Build, Test, Measure, Troubleshoot, and Explain the ResultPlanned lesson · reserved path Chapter34/Lesson5.html

Planned