Big Data Made Easy

Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset  eBooks & eLearning

Posted by naag at March 16, 2017
Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset

Michael Frampton, "Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset"
English | ISBN: 1484200950, 1484200969 | 2015 | 392 pages | EPUB | 5.4 MB

Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system.

Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset  eBooks & eLearning

Posted by nebulae at Jan. 6, 2015
Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset

Michael Frampton, "Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset"
English | ISBN: 1484200950, 1484200969 | 2015 | 392 pages | PDF | 15 MB

Learning from Data Made Easy with R: A Gentle Introduction for Data Science  eBooks & eLearning

Posted by AlenMiler at March 18, 2016
Learning from Data Made Easy with R: A Gentle Introduction for Data Science

Learning from Data Made Easy with R: A Gentle Introduction for Data Science by N.D Lewis
English | 14 Mar. 2016 | ASIN: B01D0PJMCI | 200 Pages | PDF (True) | 1.84 MB

Who Else Wants to Learn from Data the Easy Way? Start building smarter models today using R!

Beginning Apache Pig: Big Data Processing Made Easy [Repost]  eBooks & eLearning

Posted by hill0 at June 21, 2017
Beginning Apache Pig: Big Data Processing Made Easy [Repost]

Beginning Apache Pig: Big Data Processing Made Easy by Balaswamy Vaddeman
English | 16 Dec. 2016 | ISBN: 1484223365 | 300 Pages | PDF | 4.9 MB

Learn to use Apache Pig to develop lightweight big data applications easily and quickly. This book shows you many optimization techniques and covers every context where Pig is used in big data analytics. Beginning Apache Pig shows you how Pig is easy to learn and requires relatively little time to develop big data applications.

Big Data Analytics Made Easy  eBooks & eLearning

Posted by AlenMiler at April 6, 2017
Big Data Analytics Made Easy

Big Data Analytics Made Easy by Y. Lakshmi Prasad
English | 1 Apr. 2017 | ASIN: B06XYQ7TJK | 307 Pages | AZW3 | 792.84 KB

Big Data Analytics Made Easy  eBooks & eLearning

Posted by AlenMiler at Dec. 17, 2016
Big Data Analytics Made Easy

Big Data Analytics Made Easy by Y. Lakshmi Prasad
English | 3 Dec. 2016 | ISBN: 1946390712 | 192 Pages | AZW3/MOBI/EPUB/PDF (conv) | 3.55 MB

Big Data Analytics Made Easy is a must-read for everybody as it explains the power of Analytics in a simple and logical way along with an end to end code in R.

Udemy – Data Analysis Made Easy - Learn Hive & Pig  eBooks & eLearning

Posted by naag at Oct. 2, 2015
Udemy – Data Analysis Made Easy - Learn Hive & Pig

Udemy – Data Analysis Made Easy - Learn Hive & Pig
MP4 | Video: 1280x720 | 100 kbps | 44 KHz | Duration: 5 Hours | 709 MB
Genre: eLearning | Language: English

Learn Data Analysis using Pig & Hive the easy way with hands on examples and well explained concepts.

AQA A-level Psychology: Revision Made Easy  eBooks & eLearning

Posted by AlenMiler at Sept. 20, 2017
AQA A-level Psychology: Revision Made Easy

AQA A-level Psychology: Revision Made Easy by Jean-Marc Lawton
English | 27 Mar. 2017 | ISBN: 1471845230 | ASIN: B06X6M552W, B01N9K5P46 | 256 Pages | AZW3 | 9.29 MB

macOS Made Easy  eBooks & eLearning

Posted by Landau17 at Sept. 20, 2017
macOS Made Easy

macOS Made Easy
MP4 | Video: 720p | Duration: 7:12:15 | English | 1277.6 MB

Big Data in Healthcare: Extracting Knowledge from Point-of-Care Machines  eBooks & eLearning

Posted by hill0 at Sept. 19, 2017
Big Data in Healthcare: Extracting Knowledge from Point-of-Care Machines

Big Data in Healthcare: Extracting Knowledge from Point-of-Care Machines (SpringerBriefs in Pharmaceutical Science & Drug Development) by Pouria Amirian
English | 11 Oct. 2017 | ISBN: 3319629883 | 100 Pages | PDF | 2.44 MB

This book reviews a number of issues including: Why data generated from POC machines are considered as Big Data. What are the challenges in storing, managing, extracting knowledge from data from POC devices? Why is it inefficient to use traditional data analysis with big data?