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Chapter 1: Cloudera CDP & Spark-Fundamentals on Spark over Kubernetes
Chapter 3: Cloudera CDP & Spark-Understand Distribute Processing
Chapter 4: Cloudera CDP & Spark-Implement Hive and Spark Integration
Chapter 5: Cloudera CDP & Spark-Understand Distributed Persistence
Chapter 6: Cloudera CDP & Airflow-Implement incremental extraction in Apache Airflow from source system
Chapter 7: Cloudera CDP & Airflow-Use Apache Airflow to schedule ETL pipelines
Chapter 8: Cloudera CDP & Airflow-Use Apache Airflow to schedule quality checks
Chapter 10: Cloudera CDP & Performance Tuning-Know Basic tools in (Spark) Performance Tuning
Chapter 11: Cloudera CDP & Performance Tuning-Understand Optimization Framework and Explain plans
Chapter 13: Cloudera CDP & Performance Tuning-Work with Improving Join Performance
Chapter 14: Cloudera CDP & Performance Tuning-Leverage Caching Data for Reuse
Chapter 15: Cloudera CDP & Performance Tuning-Work with Partitioned and Bucketed Tables
Chapter 16: Cloudera CDP & Deployment-Use the API and CLI
Chapter 17: Cloudera CDP & Deployment-Work in the Data Engineering Service

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