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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

Cloud delivery models

A Cloud delivery model represents a specific, pre-packaged combination of IT resources offered by a Cloud provider. Three common Cloud delivery models have become widely established and formalized:

IaaS
PaaS
SaaS

Infrastructure as a Service

The IaaS delivery model represents a self-contained IT environment that comprises infrastructure-centric IT resources that can be accessed and managed using Cloud service-based interfaces and tools. This environment can include hardware, network, connectivity, operating systems, and other raw IT resources. In contrast to traditional hosting or outsourcing environments, with IaaS, IT resources are usually virtualized and packaged into bundles that simplify runtime scaling and customization of the infrastructure.

The general purpose of an IaaS environment is to provide Cloud consumers with a high level of control and responsibility over its configuration and utilization. The IT resources provided by IaaS are generally not preconfigured,...

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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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