Description: Cloud Data Lake : A Guide to Building Robust Cloud Data Architecture, Paperback by Gopalan, Rukmani, ISBN 1098116585, ISBN-13 9781098116583, Brand New, Free shipping in the US More organizations than ever understand the importance of data lake architectures for deriving value from their data. Building a robust, scalable, and performant data lake remains a complex proposition, however, with a buffet of tools and options that need to work together to provide a seamless end-to-end pipeline from data to insights. This book provides a concise yet comprehensive overview on the setup, management, and governance of a cloud data lake. Author Rukmani Gopalan, product management leader at Microsoft, guides data architects and engineers through the major aspects of working with a cloud data lake, from design considerations and best practices to data format optimizations, performance optimization, cost management, and governance.Learn the benefits of a cloud-based big data strategy for your organizationGet guidance and best practices for designing performant and scalable data lakesExamine architecture and design choices, and data governance principles and strategiesBuild a data strategy that scales as your organizational and business needs increaseImplement a scalable data lake in the cloudUse cloud-based advanced analytics to gain more value from your data
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Book Title: Cloud Data Lake : A Guide to Building Robust Cloud Data Architect
Number of Pages: 244 Pages
Language: English
Publication Name: Cloud Data Lake : a Guide to Building Robust Cloud Data Architecture
Publisher: O'reilly Media, Incorporated
Subject: Data Modeling & Design, General, Databases / Data Warehousing, Data Processing
Item Height: 0.5 in
Publication Year: 2023
Item Weight: 15.6 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Item Length: 9.1 in
Author: Rukmani Gopalan
Item Width: 7.1 in
Format: Trade Paperback
