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Apache Spark 3 - Beyond Basics and Cracking Job Interviews | Course Introduction
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Apache Spark 3 - Beyond Basics and Cracking Job Interviews
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- 1 Apache Spark 3 - Beyond Basics and Cracking Job Interviews | Course Introduction
- 2 Spark Cluster and Runtime Architecture
- 3 Spark Submit and Some Important Options
- 4 Deploy Modes - Client and Cluster mode
- 5 Spark Jobs - Stage, Shuffle, Task, Slots
- 6 Spark SQL Engine and Query Planning
- 7 Lets Practice - Quiz 1 Solution Video
- 8 Lets Practice - Quiz 2 Solution Video
- 9 Spark Memory Allocation
- 10 Spark Memory Management
- 11 Spark Adaptive Query Execution
- 12 Spark AQE Dynamic Join Optimization
- 13 Handling Data Skew in Spark Joins
- 14 Spark Dynamic Partition Pruning
- 15 Data Caching in Spark
- 16 Repartition and Coalesce
- 17 Dataframe Hints
- 18 Broadcast Variables
- 19 Accumulators
- 20 Speculative Execution
- 21 Dynamic Resource Allocation
- 22 Spark Schedulers
- 23 Lets Practice Quiz 3 Solution Video
- 24 Lets Practice Quiz 4 Solution Video
