Learning Spark PDF ePub eBook

Books Info:

Learning Spark free pdf The Web is getting faster, and the data it delivers is getting bigger. How can you handle everything efficiently? This book introduces Spark, an open source cluster computing system that makes data analytics fast to run and fast to write. You'll learn how to run programs faster, using primitives for in-memory cluster computing. With Spark, your job can load data into memory and query it repeatedly much quicker than with disk-based systems like Hadoop MapReduce. Written by the developers of Spark, this book will have you up and running in no time. You'll learn how to express MapReduce jobs with just a few simple lines of Spark code, instead of spending extra time and effort working with Hadoop's raw Java API. Quickly dive into Spark capabilities such as collect, count, reduce, and save Use one programming paradigm instead of mixing and matching tools such as Hive, Hadoop, Mahout, and S4/Storm Learn how to run interactive, iterative, and incremental analyses Integrate with Scala to manipulate distributed datasets like local collections Tackle partitioning issues, data locality, default hash partitioning, user-defined partitioners, and custom serialization Use other languages by means of pipe() to achieve the equivalent of Hadoop streaming

About Mark Hamstra

Holden Karau is a software development engineer at Databricks and is active in open source. She is the author of an earlier Spark book. Prior to Databricks she worked on a variety of search and classification problems at Google, Foursquare, and Amazon. She graduated from the University of Waterloo with a Bachelors of Mathematics in Computer Science. Outside of software she enjoys paying with fire, welding, and hula hooping. Most recently, Andy Konwinski co-founded Databricks. Before that he was a PhD student and then postdoc in the AMPLab at UC Berkeley, focused on large scale distributed computing and cluster scheduling. He co-created and is a committer on the Apache Mesos project. He also worked with systems engineers and researchers at Google on the design of Omega, their next generation cluster scheduling system. More recently, he developed and led the AMP Camp Big Data Bootcamps and first Spark Summit, and has been contributing to the Spark project. Matei Zaharia is a PhD student in the AMP Lab at UC Berkeley, working on topics in computer systems, cloud computing and big data. He is also a committer on Apache Hadoop and Apache Mesos. At Berkeley, he leads the development of the Spark cluster computing framework, and has also worked on projects including Mesos, the Hadoop Fair Scheduler, Hadoop's straggler detection algorithm, Shark, and multi-resource sharing. Matei got his undergraduate degree at the University of Waterloo in Canada.

Details Book

Author : Mark Hamstra
Publisher : O'Reilly Media, Inc, USA
Data Published : 31 July 2013
ISBN : 1449358624
EAN : 9781449358624
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 300 pages
Age + : 15 years
Language : English
Rating :

Reviews Learning Spark



17 Comments Add a comment




Related eBooks Download


  • Big Data Analytics with Spark free pdfBig Data Analytics with Spark

    Big Data Analytics with Spark is a step-by-step guide for learning Spark. which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis..


  • Advanced Analytics with Spark free pdfAdvanced Analytics with Spark

    In this practical book. four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark. statistical methods. and real-world data sets together to teach you how to approach analytics problems by example..


  • Beginning Hadoop free pdfBeginning Hadoop

    There are many challenges in setting up and scaling distributed frameworks like hadoop. Despite. Hadoop being an Open Source product and with so many good documentations and books..


  • Hadoop for Dummies free pdfHadoop for Dummies

    Let "Hadoop For Dummies" help harness the power of your data and rein in the information overload Big data has become big business. and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed..


  • Hadoop for Dummies free pdfHadoop for Dummies

    Let "Hadoop For Dummies" help harness the power of your data and rein in the information overload Big data has become big business. and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed..


  • Learning Spark free pdfLearning Spark

    How To Download Ebooks For Free. The Web is getting faster, and the data it delivers is getting bigger. How can you handle everything efficiently? This book introduces Spark, an open source cluster co