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Modern Big Data Processing with Hadoop. Expert techniques for architecting end-to-end big data solutions to get valuable insights V Naresh Kumar, Prashant Shindgikar

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Modern Big Data Processing with Hadoop. Expert techniques for architecting end-to-end big data solutions to get valuable insights V Naresh Kumar, Prashant Shindgikar - okladka książki

Modern Big Data Processing with Hadoop. Expert techniques for architecting end-to-end big data solutions to get valuable insights V Naresh Kumar, Prashant Shindgikar - okladka książki

Autorzy:
V Naresh Kumar, Prashant Shindgikar
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
394
Dostępne formaty:
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     ePub
     Mobi

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The complex structure of data these days requires sophisticated solutions for data transformation, to make the information more accessible to the users.This book empowers you to build such solutions with relative ease with the help of Apache Hadoop, along with a host of other Big Data tools.
This book will give you a complete understanding of the data lifecycle management with Hadoop, followed by modeling of structured and unstructured data in Hadoop. It will also show you how to design real-time streaming pipelines by leveraging tools such as Apache Spark, and build efficient enterprise search solutions using Elasticsearch. You will learn to build enterprise-grade analytics solutions on Hadoop, and how to visualize your data using tools such as Apache Superset. This book also covers techniques for deploying your Big Data solutions on the cloud Apache Ambari, as well as expert techniques for managing and administering your Hadoop cluster.
By the end of this book, you will have all the knowledge you need to build expert Big Data systems.

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O autorach książki

Naresh has more than a decade of professional experience in designing, implementing and running very large scale Internet Applications in Fortune Top 500 Companies. He is a Full Stack Architect with hands-on experience in domains like E-commerce, Web-hosting, Healthcare, Bigdata & Analytics, Data Streaming, Advertising and Databases. He believes in Opensource and contributes to them actively. He keeps himself up-to-date with emerging technologies starting from Linux Systems Internals to Frontend technologies. He studied in BITS-Pilani, Rajasthan with Dual Degree in Computer Science & Economics.
Prashant Shindgikar is an accomplished big data Architect with over 20 years of experience in data analytics. He specializes in data innovation and resolving data challenges for major retail brands. He is a hands-on architect having an innovative approach to solving data problems. He provides thought leadership and pursues strategies for engagements with the senior executives on innovation in data processing and analytics. He presently works for a large USA-based retail company.

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