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Ibm understanding big data ebook

Version: 86.26.83
Date: 23 April 2016
Filesize: 0.615 MB
Operating system: Windows XP, Visa, Windows 7,8,10 (32 & 64 bits)

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Data Science How to write data analysis reports. Lesson 6 – get acceptance Data Science 9 must watch big data technologies along with Hadoop! Machine Learning Why AI and Machine Learning are not the same thing Banking / Finance Why banks should hop on board the big data bus Analytics What is SMACK( Spark, Mesos, Akka, and Kafka)? Data Science How is 2016 shaping up for data science Banking / Finance The three pillars of insurance analytics Visualization The difference between UI and UX Data Science How to write data analysis reports. Lesson 5 Data Science Demystifying data scientists Banking / Finance The four people who ruin innovation Machine Learning How to run Linear regression in Python scikit- Learn Banking / Finance Can Fintechs take banks to the edge of innovation? Banking / Finance Your fast follower strategy is riskier than you realize Data Mining How to write data analysis reports. Lesson 3—know your route. Health / Pharma Trends in healthcare Informatics: 2016 1 edition ( October 19, 2011 e Book: IBM Corporation (2012) Hardcover/ Paperback 176 pages e Book PDF, 166 pages, 3.38 MB Language: English ISBN-10: ISBN-13: Share This:  Book Description In this book, the three defining characteristics of Big Data — volume, variety, and velocity, are discussed. You’ll get a primer on Hadoop and how IBM is ‘hardening’ it for the enterprise, and learn when to leverage IBM Info Sphere Big Insights ( Big Data at rest) and IBM Info Sphere Streams ( Big Data in motion) technologies. Deployment and scaling strategies plus industry use cases are also included in this practical guide. Understand the characteristics of Big Data Learn about data at rest analytics Learn about data in motion analytics Get a quick Hadoop primer Learn about IBM Info Sphere Big Insights, and IBM Info Sphere Streams About the Authors Paul C. Zikopoulos ( Toronto, Canada) is a Database Specialist with the DB2 Sales Support team at IBM. He has written numerous magazine articles and books about DB2. Most recently, he co-authored the books A DBA's Guide to Databases on Linux ( Syngress Media) and DB2 for Dummies ( IDG Books). Reviews and Rating: Related Book Categories: Read and Download Links.
Publication:   · Book Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data 1st Mc Graw- Hill Osborne Media ©2011 ISBN: Book   Bibliometrics · Downloads (6 Weeks 0 · Downloads (12 Months 0 · Downloads (cumulative 0 · Citation Count: 33.

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