Apache Spark In-Depth (Spark with Scala)

Learn Apache Spark From Scratch To In–Depth

From the instructor of successful Data Engineering courses on Big Data Hadoop and Spark with Scala and Scala Programming In–Depth

From Simple program on word count to Batch Processing to Spark Structure Streaming.

From Developing and Deploying Spark application to debugging.

From Performance tuning, Optimization to Troubleshooting

Contents all you need for in–depth study of Apache Spark and to clear Spark interviews.

Taught in very simple English language so any one can follow the course very easily.

No Prerequisites, Good to know basics about Hadoop and Scala

Perfect place to start learning Apache Spark

Apache Spark is a unified analytics engine for big data processing, with built–in modules for streaming, SQL, machine learning and graph processing.

Speed

Run workloads 100x faster.

Apache Spark achieves high performance for both batch and streaming data, using a state–of–the–art DAG scheduler, a query optimizer, and a physical execution engine.

Ease of Use

Write applications quickly in Java, Scala, Python, R, and SQL.

Spark offers over 80 high–level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells.