Related Books

Learning Big Data with Amazon Elastic MapReduce
Language: un
Pages: 242
Authors: Amarkant Singh, Vijay Rayapati
Categories: Computers
Type: BOOK - Published: 2014-10-30 - Publisher: Packt Publishing Ltd

This book is aimed at developers and system administrators who want to learn about Big Data analysis using Amazon Elastic MapReduce. Basic Java programming knowledge is required. You should be comfortable with using command-line tools. Prior knowledge of AWS, API, and CLI tools is not assumed. Also, no exposure to
Analyzing Big Data with Spark and Amazon EMR
Language: un
Pages:
Authors: Frank Kane
Categories: Computers
Type: BOOK - Published: 2017 - Publisher:

"This is a hands-on course where Amazon Web Services pro Frank Kane shows you how to rent Amazon's Elastic MapReduce service (EMR) at minimal cost and use it to run Spark scripts on top of a real Hadoop cluster. Kane's approach is fun: You'll learn a Big Data analysis process
Learning Big Data with Amazon Elastic MapReduce
Language: en
Pages: 242
Authors: Amarkant Singh, Vijay Rayapati
Categories: Computers
Type: BOOK - Published: 2014-10-30 - Publisher: Packt Publishing Ltd

This book is aimed at developers and system administrators who want to learn about Big Data analysis using Amazon Elastic MapReduce. Basic Java programming knowledge is required. You should be comfortable with using command-line tools. Prior knowledge of AWS, API, and CLI tools is not assumed. Also, no exposure to
Analyzing Big Data with Hadoop, AWS, and EMR
Language: un
Pages:
Authors: Frank Kane
Categories: Computers
Type: BOOK - Published: 2017 - Publisher:

"Hadoop is today's most pervasive technology used in Big Data for distributing the processing of massive data sets across clusters of commodity computers. With Amazon's Elastic MapReduce service (EMR), you can rent capacity through Amazon Web Services (AWS) to store and analyze data at minimal cost on top of a
Handbook of Research on Big Data Storage and Visualization Techniques
Language: en
Pages: 917
Authors: Segall, Richard S., Cook, Jeffrey S.
Categories: Computers
Type: BOOK - Published: 2018-01-05 - Publisher: IGI Global

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and