Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Implementing Big Data Analytics Using Hadoop

Implementing Big Data Analytics Using Hadoop

Singh, Ajit

Paperback

General Computers

ISBN10: 107346850X
ISBN13: 9781073468508
Publisher: Independently Published
Published: Jun 12 2019
Pages: 74
Weight: 0.27
Height: 0.18 Width: 6.00 Depth: 9.00
Language: English
The ultimate objective of this book is to help you become a professional in the field of Big Data and Hadoop and ensuring you have enough skills to work in an industrial environment and solve real world problems to come up with solutions that make a difference to this World.

I tried at my best to explain the understanding on how a component in the Hadoop ecosystem works, why it works that way and how it fits into the design of the overall Hadoop framework.

This book explains the Hadoop framework, followed by data analysis using MapReduce, Hive and Pig on sample use cases. Big data analysis using Amazon Elastic MapReduce (Hadoop on Amazon cloud) is also explained in detail. It also focuses on the Hadoop architecture as well as explains the Hadoop setup using Cloudera QuickStart VM. Further, MapReduce is also explained using a data analytics use case. In addition of the above, it also explains Apache Pig and Apache Hive respectively and show how these technologies can be used for solving data analysis problems as well as big data analytics using Amazon Web Services (AWS).

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