Picture 1 of 1
Stock photo
Picture 1 of 1
Stock photo
Enterprise Big Data Lake : Delivering the Promise of Big Data and Data Science by Alex Gorelik (2019, Trade Paperback)
Bargain Book Stores (1127260)
99.2% positive Feedback
Price:
US $59.10
Approximately£44.33
+ $10.50 postage
Returns:
Condition:
Condition Guide. Item Availability.
- Buy it nowThe Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Scienc
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
About this product
Product Identifiers
PublisherO'reilly Media, Incorporated
ISBN-101491931558
ISBN-139781491931554
eBay Product ID (ePID)219183262
Product Key Features
Number of Pages200 Pages
LanguageEnglish
Publication NameEnterprise Big Data Lake : Delivering the Promise of Big Data and Data Science
SubjectData Modeling & Design, Data Processing, Databases / Data Warehousing
Publication Year2019
TypeTextbook
Subject AreaComputers
AuthorAlex Gorelik
FormatTrade Paperback
Dimensions
Item Height0.5 in
Item Weight13.9 Oz
Item Length9.1 in
Item Width7.2 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2018-277337
TitleLeadingThe
IllustratedYes
SynopsisThe 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
LC Classification NumberQA76.9.D37
All listings for this product
Be the first to write a review
