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Reference: https://www.cloudera.com/about/training/certification/cdhhdp-certification/cca-spark.html
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Analysis | 35% | - Filter and sort datasets - Perform aggregations and calculations - Join multiple datasets - Create and query temporary views and tables - Use Spark SQL and interact with Hive metastore |
| Topic 2: Transform, Stage, and Store Data | 35% | - Perform ETL operations using Spark API - Read/write various file formats (CSV, JSON, Avro, Parquet, etc.) - Load data from HDFS into Spark - Write transformed results back to HDFS |
| Topic 3: Application Configuration and Execution | 10% | - Use Spark Shell (Scala/PySpark) for interactive analysis - Submit Spark applications via spark-submit - Set memory, cores, and execution parameters |
| Topic 4: Data Ingestion | 20% | - Ingest data into HDFS using Sqoop - Ingest data into HDFS using Flume - Import/export data between relational databases and HDFS |
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