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Big Data Analytics with Hadoop 3

You're reading from Big Data Analytics with Hadoop 3

Product type Book

Published in May 2018

Publisher Packt

ISBN-13 9781788628846

Pages 482 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Sridhar Alla

Table of Contents (18) Chapters

Title Page

Copyright and Credits

Packt Upsell

Contributors

Preface

Introduction to Hadoop

Overview of Big Data Analytics

Big Data Processing with MapReduce

Scientific Computing and Big Data Analysis with Python and Hadoop

Statistical Big Data Computing with R and Hadoop

Batch Analytics with Apache Spark

Real-Time Analytics with Apache Spark

Batch Analytics with Apache Flink

Stream Processing with Apache Flink

Visualizing Big Data

Introduction to Cloud Computing

Using Amazon Web Services

Index

Amazon Elastic Compute Cloud

Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable computing capacity on a Cloud. It is designed to make web-scale Cloud computing easier for developers.

Amazon EC2's simple web service interface allows you to obtain and configure capacity with ease. It provides you with complete control of your computing resources and let's you use Amazon's computing environment. Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity (both up and down), as your computing requirements change. Amazon EC2 allows you to save computing costs as you pay only for capacity that you actually use. Amazon EC2 provides developers with the tools to build failure-resilient applications and to isolate them from common failure scenarios.

Elastic web-scale computing

Amazon EC2 enables you to increase or decrease capacity within a span of minutes. You can commission one or several server...

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Authors (1)

Sridhar Alla

Sridhar?Alla?is the co-founder and CTO of Blue Whale Consulting and is expert at helping companies (big and small) define their vision for systems and capabilities that will allow them to establish a strategic execution plan to deal with the ever-growing data collected to support analytics and product teams. He has very experienced at dealing with all aspects of data collection, security, governance, and processing as part of end-to-end big data analytics and machine learning initiatives (including predictive modeling, deep learning, and ML automation). Sridhar?is a published book author and an avid presenter at numerous conferences, including Strata, Hadoop World, and Spark Summit.? He also has several patents filed with the US PTO on large-scale computing and distributed systems.? He has over 18 years' experience writing code in Scala, Java, C, C++, Python, R, and Go, and has extensive hands-on knowledge of Spark, Flink, TensorFlow, Keras, Hadoop, Cassandra, HBase, MongoDB, Riak, Redis, Zeppelin, Mesos, Docker, Kafka, ElasticSearch, Solr, H2O, machine learning, text analytics, distributed computing, and high-performance computing. Sridhar lives with his wife and daughter in New Jersey and in his spare time loves blogging and coaching organizations on next-generation advancements in technology and their alignment with business goals.

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