Beginning Apache Spark 3

Covers how to build ML/AI applications using Spark MLlib How to generate actionable insights by processing real-time data using the Spark Structured Streaming engine Written by an experienced Apache Spark instructor

Autorentext

Hien Luu has extensive experience in designing and building big data applications and machine learning infrastructure. He is particularly passionate about the intersection between big data and machine learning. Hien enjoys working with open source software and has contributed to Apache Pig and Azkaban. Teaching is also one of his passions, and he serves as an instructor at the UCSC Silicon Valley Extension school teaching Apache Spark. He has given presentations at various conferences such as Data+AI Summit, MLOps World, QCon SF, QCon London, Hadoop Summit, and JavaOne.

Inhalt
Chapter 1: Introduction to Apache Spark.- Chapter 2: Working with Apache Spark.- Chapter 3: Spark SQL Foundation.- Chapter 4: Spark SQL Advance.- Chapter 5: Optimizing Apache Spark Applications.- Chapter 6: Structured Streaming Foundation.- Chapter 7: Structured Streaming Advanced.- Chapter 8: Machine Learning with Apache Spark.- Chapter 9: Managing the Machine Learning Lifecycle.