DP 203: Data Engineering on Microsoft Azure : Study Guide with Practice Questions and Labs - Volume 2 of 2 :Design, Monitor, and Optimize Data Processing Solutions with Security - First Edition - 2021

Download or read book DP 203: Data Engineering on Microsoft Azure : Study Guide with Practice Questions and Labs - Volume 2 of 2 :Design, Monitor, and Optimize Data Processing Solutions with Security - First Edition - 2021 written by I. P. Specialist and published by . This book was released on 2021-10-15 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: DP -203: Data Engineering on Microsoft Azure: Study Guide with Practice Questions and Labs - First Edition About the Author Nouman Ahmed Khan: AWS/Azure/GCP-Architect, CCDE, CCIEx5 (R&S, SP, Security, DC, Wireless), CISSP, CISA, CISM, CRISC, ISO27K-LA is a Solution Architect working with a global telecommunication provider. He works with enterprises, mega-projects, and service providers to help them select the best-fit technology solutions. He also works as a consultant to understand customer business processes and helps select an appropriate technology strategy to support business goals. He has more than fifteen years of experience working with global clients. PASS THE DP-203 Microsoft Azure Data Engineer Associate EXAM With Confidence in just 4 Weeks!. Are you looking to learn about the foundational and some advanced knowledge of core data concepts and how they are implemented using Microsoft Azure data services? This book is an ideal resource to start your journey with confidence.No prior experience in the cloud is required. This is a highly practical, intensive, yet comprehensive book that will teach you to become an Azure Data Engineer. It's a perfect resource to pass the Microsoft Azure Data Engineer Associate exam on the first attempt. The book Includes: - Covers complete exam blueprint - Practice Questions. - Mind-maps - Hand-on practice labs. - Real-world examples. - Exam tips. Topics Covered: - Design and implement Data Storage - Design and develop Data Processing - Design and implement Data Security - Monitor and optimize Data Storage and Data Processing