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Apache Spark shuffle writers: SortShuffleWriter

Unified Data Management patterns with Delta Lake

Apache Spark Adaptive Query Execution demote broadcast join demo

Apache Spark 3.1.1 - table API in Structured Streaming

Optimistic Concurrency Control in Elasticsearch

Apache Spark 3.1.1 - shuffle strategy for full outer join

Apache Airflow and changing start date for already running DAG

Apache Spark on Kubernetes demo

Apache Airflow behavior for TriggerRule.ALL_DONE task

Apache Spark SQL and corrupted files management

Wildcard path and partition values in Apache Spark SQL

Apache Spark Structured Streaming - mapGroupsWithState with and without state removal

Apache Spark Structured Streaming, watermark and window processing

JIT compilation and Apache Spark SQL

Apache Spark 3 and Dynamic Partition Pruning

PySpark and serializers

Apache Flink and temporal table joinb

Delta Lake, commits and conflicts management

Lesson 03: Who is a data engineer?

Apache Airflow and DAG triggered with datetime.now()

Lesson 10: Data processing - standalone

Apache Spark Structured Streaming and broadcast join internals

Master stream processing - Stateful stream processing module

Module 2: Data ingestion offline - plan

Lesson 12: Data terms

Master stream processing - Stream processing module

Lesson 11: Data processing - distributed

Lesson 06: Stream processing

Lesson 07: Data architectures

Lesson 04: Data pipelines

Delta Lake and the VACUUM command

Lesson 02: Data engineering and archeology

Lesson 05: Batch processing

Delta Lake and the orphan files

Lesson 09: Data stores

Master stream processing - Data ingestion online module

Master stream processing - Data cleansing module

Lesson 01: Plan

Lesson 08: Data organization