Big Data Analytics with Spark Book Review and Interview

Key takeaways Learn how to use Apache Spark for different types of big-data analytics use cases like batch, interactive, graph, streaming data and machine learning. Understand the Spark Core and its add-on libraries, Spark SQL, Spark Streaming, GraphX, MLlib, and Spark ML. Learn about development and testing tools for developers to use when working on projects using Spark. Best practices for the performance and tuning of Spark programs. Read about how Spark works with cluster setup, management and monitoring. Big Data Analytics with Spark book, authored by Mohammed Guller, provides a practical guide for learning Apache Spark framework for different types of big-data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. It covers Spark core and its add-on libraries, including Spark SQL, Spark…


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