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The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science

Alex Gorelik
4.9/5 (30725 ratings)
Read Now Download Now ⏭ listen AudioBook
Description:The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You'll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book.Alex Gorelik, CTO and founder of Waterline Data, explains why old systems and processes can no longer support data needs in the enterprise. Then, in a collection of essays about data lake implementation, you'll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries.Get a succinct introduction to data warehousing, big data, and data scienceLearn various paths enterprises take to build a data lakeExplore how to build a self-service model and best practices for providing analysts access to the dataUse different methods for architecting your data lakeDiscover ways to implement a data lake from experts in different industriesWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science. To get started finding The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
458
Format
PDF, EPUB & Kindle Edition
Publisher
O'Reilly Media
Release
2019
ISBN
1491931523

The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science

Alex Gorelik
4.4/5 (1290744 ratings)
Read Now Download now ⏭ listen AudioBook
Description: The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You'll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book.Alex Gorelik, CTO and founder of Waterline Data, explains why old systems and processes can no longer support data needs in the enterprise. Then, in a collection of essays about data lake implementation, you'll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries.Get a succinct introduction to data warehousing, big data, and data scienceLearn various paths enterprises take to build a data lakeExplore how to build a self-service model and best practices for providing analysts access to the dataUse different methods for architecting your data lakeDiscover ways to implement a data lake from experts in different industriesWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science. To get started finding The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
458
Format
PDF, EPUB & Kindle Edition
Publisher
O'Reilly Media
Release
2019
ISBN
1491931523

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