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Enterprise Big Data Lake
Enterprise Big Data Lake
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€76.99
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A01=Alex Gorelik
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Author_Alex Gorelik
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Category1=Non-Fiction
Category=UN
COP=United States
data lake data databases Hadoop data science data-driven Machine learning AI cloud computing networking computer science
Delivery_Delivery within 10-20 working days
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eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Language_English
PA=Available
Price_€50 to €100
PS=Active
softlaunch
Product details
- ISBN 9781491931554
- Weight: 666g
- Dimensions: 150 x 250mm
- Publication Date: 31 Mar 2019
- Publisher: O'Reilly Media
- Publication City/Country: US
- Product Form: Paperback
- Language: English
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
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
Enterprise Big Data Lake
€76.99
