|
![]() |
|||
|
||||
OverviewFull Product DetailsAuthor: Saurabh Gupta , Venkata GiriPublisher: APress Imprint: APress Edition: 1st ed. Weight: 0.534kg ISBN: 9781484235218ISBN 10: 1484235215 Pages: 327 Publication Date: 28 June 2018 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsChapter 1: Introduction to Enterprise Data Lakes.- Chapter 2: Data Lake Ingestion Strategies.- Chapter – 3: Capture Streaming Data with Change-Data-Capture.- Chapter 4: Data Processing Strategies in Data Lakes.- Chapter 5: Data Archiving Strategies in Data Lakes.- Chapter 6: Data Security in Data Lakes.- Chapter 7: Ensuring High-Availability of Data Lakes.- Chapter 8: Managing Data Lake Operations.ReviewsAuthor InformationSaurabh K. Gupta is a technology leader, published author, and database enthusiast with more than 11 years of industry experience in data architecture, engineering, development, and administration. Working as a Manager, Data & Analytics at GE Transportation, his focus lies with data lake analytics programs that build a digital solution for business stakeholders. In the past, he has worked extensively with Oracle database design and development, PaaS and IaaS cloud service models, consolidation, and in-memory technologies. He has authored two books on advanced PL/SQL for Oracle versions 11g and 12c. He is a frequent speaker at numerous conferences organized by the user community and technical institutions. He tweets at @saurabhkg and blogs at sbhoracle.wordpress.com. Venkata Giri currently works with GE Digital and has been involved with building resilient distributed services at a massive scale. He has worked on big data tech stack, relational databases, high availability, and performance tuning. With over 20 years of experience in data technologies, he has in-depth knowledge of big data ecosystems, complex data ingestion pipelines, data engineering, data processing, and operations. Prior to working at GE, he worked with the data teams at Linkedin and Yahoo. Tab Content 6Author Website:Countries AvailableAll regions |