Enterprise Big Data Lake - Alex Gorelik (Paperback)

Delivering The Promise Of Big Data And Data Science

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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 science
  • Learn various paths enterprises take to build a data lake
  • Explore how to build a self-service model and best practices for providing analysts access to the data
  • Use different methods for architecting your data lake
  • Discover ways to implement a data lake from experts in different industries

Product Details

Barcode
9781491931554
Department
Books
Released
21 Mar 2019
Supply Source
UK

Book

Author
Alex Gorelik
Binding
Paperback
Publisher
O'REILLY
Language
English
Number of Pages
200
Dimensions
250 x 150 x 15mm (666g)

Annotation

A practical handbook guides managers and IT professionals from the initial research and decision-making process through planning, choosing products, and implementing, maintaining and governing the modern data lake. Original.

Summary

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 science
  • Learn various paths enterprises take to build a data lake
  • Explore how to build a self-service model and best practices for providing analysts access to the data
  • Use different methods for architecting your data lake
  • Discover ways to implement a data lake from experts in different industries

Non-Fiction

General Subject
Computer/General
BISAC Subject 1
Computers / Data Processing
BISAC Subject 2
Computers / System Administration / Storage & Retrieval
BISAC Subject 3
Computers / Enterprise Applications / Business Intelligence Tools
BISAC Subject 4
Computers / Database Management / Data Mining
BISAC Subject 5
Computers / Data Modeling & Design
BIC Classification 1
Databases
Library Subject 1
Data warehousing
Library Subject 2
Big data
Library Subject 3
File organization Computer science
Dewey Classification
005.7

Author Bio

Alex is CEO and Founder of Waterline Data. As founder of three startups, Alex spent his career inventing cutting edge data-oriented technology and bringing it to market. Prior to Waterline Data, Alex served as GM of Informatica's Data Quality Business Unit, driving Marketing, Product Management and R&D for an $80M business. Also for Informatica, Alex managed a team of 400 engineers and product managers as SVP of R&D for Core Technology, developing Informatica's platform and Data Integration technology. Alex joined Informatica from IBM, where he was an IBM Distinguished Engineer for the Information Integration team. IBM acquired Alex's second startup, Exeros, where he was founder, CTO and VP of Engineering. Previously, Alex was co-founder, CTO and VP of Engineering at Acta Technology (acquired by Business Objects and now marketed as SAP Business Objects Data Services). Prior to founding Acta, Alex managed development of Replication Server at Sybase and worked on Sybase's strategy for enterprise application integration (EAI). Earlier, he developed the database kernel for Amdahl's Design Automation group. Alex holds a B.S. in Computer Science from Columbia University School of Engineering and a M.S. in Computer Science from Stanford University