Data Analytics with Spark Using Python (1st Edition) | By Pearson...

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Coverage includes: • Understand Spark’s evolving role in the Big Data and Hadoop ecosystems • Create Spark clusters using various deployment modes • Control and optimize the operation of Spark clusters and applications • Master Spark Core RDD API programming techniques • Extend, accelerate, and optimize Spark routines with advanced API platform constructs, including shared variables, RDD storage, and partitioning • Efficiently integrate Spark with both SQL and nonrelational data stores • Perform stream processing and messaging with Spark Streaming and Apache Kafka • Implement predictive modeling with SparkR and Spark MLlib

Data Analytics with Spark Using Python (1st Edition) | By Pearson

2018

PART I: SPARK FOUNDATIONS Chapter 1 Introducing Big Data, Hadoop, and Spark Chapter 2 Deploying Spark Chapter 3 Understanding the Spark Cluster Architecture Chapter 4 Learning Spark Programming Basics PART II: BEYOND THE BASICS Chapter 5 Advanced Programming Using the Spark Core API Chapter 6 SQL and NoSQL Programming with Spark Chapter 7 Stream Processing and Messaging Using Spark Chapter 7 Stream Processing and Messaging Using Spark

320

Paperback

Pearson

9789353068455