Big Data Map

Easy Road Map to Big Data Testing (Hive and MySQL Databases)  eBooks & eLearning

Posted by naag at May 20, 2017
Easy Road Map to Big Data Testing (Hive and MySQL Databases)

Easy Road Map to Big Data Testing (Hive and MySQL Databases)
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 6 Hours | Lec: 34 | 895 MB
Genre: eLearning | Language: English

Hive and MySQL for Testing Profile

Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice  eBooks & eLearning

Posted by Willson at Nov. 26, 2016
Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice

Philip Kromer, Russell Jurney, "Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice"
English | 2015 | ISBN: 1491923946 | 220 pages | True EPUB | 4 MB

Projects in Hadoop and Big Data - Learn by Building Apps  eBooks & eLearning

Posted by naag at Aug. 27, 2016
Projects in Hadoop and Big Data - Learn by Building Apps

Projects in Hadoop and Big Data - Learn by Building Apps
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 10 Hours | Lec: 43 | 2.64 GB
Genre: eLearning | Language: English

A Practical Course to Learn Big Data Technologies While Developing Professional Projects

Coursera - Web Intelligence and Big Data [repost]  eBooks & eLearning

Posted by house23 at Feb. 16, 2016
Coursera - Web Intelligence and Big Data [repost]

Coursera - Web Intelligence and Big Data
MP4 | AVC 74kbps | English | 960x540 | 30fps | 13h 33mins | AAC stereo 128kbps | 1.19 GB
Genre: Video Training

The past decade has witnessed the successful of application of many AI techniques used at `web-scale’, on what are popularly referred to as big data platforms based on the map-reduce parallel computing paradigm and associated technologies such as distributed file systems, no-SQL databases and stream computing engines. Online advertising, machine translation, natural language understanding, sentiment mining, personalized medicine, and national security are some examples of such AI-based web-intelligence applications that are already in the public eye. Others, though less apparent, impact the operations of large enterprises from sales and marketing to manufacturing and supply chains. In this course we explore some such applications, the AI/statistical techniques that make them possible, along with parallel implementations using map-reduce and related platforms.

Introduction to Big Data,Hadoop & Map Reduce  eBooks & eLearning

Posted by naag at Dec. 17, 2015
Introduction to Big Data,Hadoop & Map Reduce

Introduction to Big Data,Hadoop & Map Reduce
MP4 | Video: 1280x720 | 54 kbps | 44 KHz | Duration: 1 Hours | 97 MB
Genre: eLearning | Language: English

Learn the fundamentals of Hadoop and Map reduce to jump start with Big Data

Udemy – Projects in Hadoop and Big Data - Learn by Building Apps  eBooks & eLearning

Posted by Rare-1 at Oct. 21, 2015
Udemy – Projects in Hadoop and Big Data - Learn by Building Apps

Udemy – Projects in Hadoop and Big Data - Learn by Building Apps
WEBRip | MP4/AVC, ~504 kb/s | 1278 x 718 | English: AAC, 59.2 kb/s (2 ch), 44.1 KHz | 2.64 GB
Genre: Development / Software Engineering | Language: English | +Project Files

The most awaited Big Data course on the planet is here. The course covers all the major big data technologies within the Hadoop ecosystem and weave them together in real life projects. So while doing the course you not only learn the nuances of the hadoop and its associated technologies but see how they solve real world problems and how they are being used by companies worldwide.

Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice  eBooks & eLearning

Posted by AlenMiler at Oct. 18, 2015
Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice

Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice by Philip (flip) Kromer
English | 23 Oct. 2015 | ISBN: 1491923946 | 220 Pages | True AZW3 (Kindle)/(EPUB/PDF conv) | 8.41 MB

Finding patterns in massive event streams can be difficult, but learning how to find them doesn’t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop.

Coursera - Web Intelligence and Big Data (2013)  eBooks & eLearning

Posted by ParRus at May 31, 2013
Coursera - Web Intelligence and Big Data (2013)

Coursera - Web Intelligence and Big Data (2013)
English | MP4 | 960 x 540 | AVC ~36.4 kbps | 30 fps
AAC | 123 Kbps | 44.1 KHz | 2 channels | Subs: English (srt) | 13:33:03 | 1.37 GB
Genre: eLearning Video / Computer Science: Artificial Intelligence

The past decade has witnessed the successful of application of many AI techniques used at `web-scale’, on what are popularly referred to as big data platforms based on the map-reduce parallel computing paradigm and associated technologies such as distributed file systems, no-SQL databases and stream computing engines. Online advertising, machine translation, natural language understanding, sentiment mining, personalized medicine, and national security are some examples of such AI-based web-intelligence applications that are already in the public eye.

Transitioning from Data Warehousing to Big Data  eBooks & eLearning

Posted by Landau17 at Sept. 22, 2017
Transitioning from Data Warehousing to Big Data

Transitioning from Data Warehousing to Big Data
MP4 | Video: 720p | Duration: 1:50:03 | English | Subtitles: VTT | 251.5 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?