Author: Dr. Arvind Sathi
Edition: 1
Binding: Paperback
ISBN: 1583473807
Publisher: Mc Press
Features:
Edition: 1
Binding: Paperback
ISBN: 1583473807
Publisher: Mc Press
Features:
- analytics
- big data analytics
Big Data Analytics: Disruptive Technologies for Changing the Game
Bringing a practitioner's view to big data analytics, this work examines the drivers behind big data, postulates a set of use cases, identifies sets of solution components, and recommends various implementation approaches. Search and download computer ebooks Big Data Analytics: Disruptive Technologies for Changing the Game 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 computing system that makes data analytics fast to run and fast to write. Youll 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. Youll learn how to express MapReduce jobs with just a few simple lines of Spark code, instead of spending extra time and effort working with Hadoops 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. Download Big Data Analytics computer ebooks
This work also addresses and thoroughly answers key questions on this emerging topic, including What is big data and how is it being used? How can strategic plans for big data analytics be generated? and How does big data change analytics architecture? The author, who has more than 20 years of experience in information management architecture and delivery, has drawn the material from a large breadth of workshops and interviews with business and information technology leaders, providing readers with the latest in
Big Data Analytics ...
Big Data Analytics WILTR 9781118147597 09781118147597
Big Data Analytics : The Big Data tsunami is already hitting organizations--a set of disruptive technologies to drive game changers. Business leaders across the globe are seeking answers to the following questions: What is Big Data and what are others doing with it? How do we build a strategic plan for Big Data Analytics? How does Big Data change our analytics architecture? Unlike many other Big Data Analytics blogs and books that cover the basics and technological underpinnings, this book brings a practitioner's view to Big Data Analytics. The author has drawn the material from a large number
Seller's Item Description: Title: Big Data Analytics: Turning Big Data Into Big Money Author: Ohlhorst, Frank J. ISBN: 9781118147597 Format: Hardcover Condition: Brand New Publisher: Wiley Comments: Visit Bargain Book Stores for more great deals! 100% Customer Satisfaction Guaranteed: We work hard to ensure 100% customer satisfaction. If you're having a problem with your order, we want to know about it and fix it to your satisfaction. Please allow us to resolve your issue before you leave feedb
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data ISBN: 9780071790536 Publisher: Published date: COMMENTS: Used - Good Sound copy, mild reading wear. May have scuffs . May have some notes, highlighting or underlining.SKU: N1-16-A-24-1361
Big Data Analytics Free
his work also addresses and thoroughly answers key questions on this emerging topic, including What is big data and how is it being used? How can strategic plans for big data analytics be generated? and How does big data change analytics architecture? The author, who has more than 20 years of experience in information management architecture and delivery, has drawn the material from a large breadth of workshops and interviews with business and information technology leaders, providing readers with the latest in
