Chambers, Bill <br/><br/>
Spark : the definitive guide :  big data processing made simple / 
Bill Chambers and Matei Zaharia 
 - India  Shroff Publishers  2018 
 - 574 p. 
<br/><br/> Learn how to use, deploy and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. with an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.<br/><br/>You'll explore the basic operations and common functions of Spark's structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning and debugging Spark and explore machine learning techniques and scenarios for employing MLlib, Spark's scalable machine-learning library.<br/><br/><br/>Get a gentle overview of big data and Spark<br/><br/>Learn about DataFrames, SQL and Datasets-Spark's core APIs-through worked examples<br/><br/>Dive into Spark's low-level APIs, RDDs and execution of SQL and DataFrames<br/><br/>Understand how Spark runs on a cluster<br/><br/>Debug, monitor and tune Spark clusters and applications<br/><br/>Learn the power of Structured Streaming, Spark';s stream-processing engine<br/><br/>Learn how you can apply MLlib to a variety of problems, including classification or recommendation 
<br/><br/><label>ISBN: </label>9789352137060 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Spark (Electronic resource : Apache Software Foundation)<br/>Big data<br/>Information retrieval<br/>Data mining<br/>Telecommunication<br/>Web servers--Computer programs<br/>Apache (Computer file : Apache Group)<br/>Electronic data processing
<br/><br/><label>Dewey Class. No.: </label>006.312 CHA-B