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Azure Data Engineer Associate Certification Guide

You're reading from  Azure Data Engineer Associate Certification Guide

Product type Book
Published in Feb 2022
Publisher Packt
ISBN-13 9781801816069
Pages 574 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Newton Alex Newton Alex
Profile icon Newton Alex

Table of Contents (23) Chapters

Preface Part 1: Azure Basics
Chapter 1: Introducing Azure Basics Part 2: Data Storage
Chapter 2: Designing a Data Storage Structure Chapter 3: Designing a Partition Strategy Chapter 4: Designing the Serving Layer Chapter 5: Implementing Physical Data Storage Structures Chapter 6: Implementing Logical Data Structures Chapter 7: Implementing the Serving Layer Part 3: Design and Develop Data Processing (25-30%)
Chapter 8: Ingesting and Transforming Data Chapter 9: Designing and Developing a Batch Processing Solution Chapter 10: Designing and Developing a Stream Processing Solution Chapter 11: Managing Batches and Pipelines Part 4: Design and Implement Data Security (10-15%)
Chapter 12: Designing Security for Data Policies and Standards Part 5: Monitor and Optimize Data Storage and Data Processing (10-15%)
Chapter 13: Monitoring Data Storage and Data Processing Chapter 14: Optimizing and Troubleshooting Data Storage and Data Processing Part 6: Practice Exercises
Chapter 15: Sample Questions with Solutions Other Books You May Enjoy

Learning the basics of data modeling and schemas

Data modeling is a process of designing how data will be represented in data stores. Many data modeling techniques were originally designed for databases and warehouses. Since the Serving layers are usually built with relational data stores such as data warehouses, some of the data modeling techniques can be applied for the Serving layer design too. But do remember that the Serving layer could be built using other storage technologies such as document databases, key-value stores, and so on, based on the customer requirements.

Unlike data lakes, in databases or data warehouses we don't have the luxury of storing huge volumes of data in the format we like. Databases and data warehouses can perform querying exceptionally fast, provided the data is stored in predetermined formats and is limited in size. Hence, while designing the Serving layer, we need to identify the specifics of which data needs to be stored, which format to store...

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