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One Final Commit for the Last Sprint

Apache Spark Core Concepts: RDDs, DAGs, Job Execution, and Deployment Modes

RDD Operations and Core AbstractionsSpark applications manipulate data through Resilient Distributed Datasets (RDDs), which serve as the foundational data structure. A typical word count operation demonstrates the transformation pipeline:val textFile = sparkContext.textFile("hdfs://cluster/data/inpu...

Spark Checkpointing: Proper Usage and Differences from Caching

Checkpointing materializes critical intermediate results to a fault-toleratn store and cuts off lineage, preventing expensive re-computation across deep DAGs when failures occur. Caching (or persisting) keeps data in memory/disk for faster reuse but retains dependencies, so data loss may still trigg...