1787287947
Frank Kane’s Taming Big Data with Apache Spark and Python
by: Frank Kane
ISBN-10: 1787287947
ISBN-13: 9781787287945
Released: 2017-06-30
Pages: 296
Book Description
Key Features
Understand how Spark can be distributed across computing clusters
Develop and run Spark jobs efficiently using Python
A hands-on tutorial with over 15 real-world examples teaching you Big Data processing with Spark
Book Description
Apache Spark has emerged as the next big thing in the Big Data domain – quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data,on a real-time basis. This book is your companion to learn Apache Spark in a hands-on manner. Start with understanding how to set up Spark on a single system or on a cluster. From analyzing large data sets using Spark RDD to developing and running effective Spark jobs quickly using Python,this course will teach you everything. Packed with over 15 interactive,fun-filled examples relevant to the real-world,the course will empower you to understand the Spark ecosystem and implement production-grade real-time Spark projects with ease.
What you will learn
Learn how you can identify the Big Data problems as Spark problems
Install and run Apache Spark on your computer or on a cluster
Analyze large data sets across many CPUs using Spark’s Resilient Distributed Datasets
Implement machine learning on Spark using the MLlib library
Process continuos streams of data in real time using the Spark streaming module
Perform complex network analysis using Spark’s GraphX library
Use Amazon’s Elastic MapReduce service to run your Spark jobs on a cluster
Contents
Chapter 1. Getting Started with Spark
Chapter 2. Spark Basics and Spark Examples
Chapter 3. Advanced Examples of Spark Programs
Chapter 4. Running Spark on a Cluster
Chapter 5. SparkSQL,DataFrames,and DataSets
Chapter 6. Other Spark Technologies and Libraries
Chapter 7. Where to Go From Here? – Learning More About Spark and Data Science
