MCA Microsoft Certified Associate Azure Data Engineer Study Guide

MCA Microsoft Certified Associate Azure Data Engineer Study Guide

by Benjamin Perkins
Released September 2023
Publisher(s): Sybex
ISBN: 9781119885429

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Book description

Prepare for the Azure Data Engineering certification—and an exciting new career in analytics—with this must-have study aide

In the MCA Microsoft Certified Associate Azure Data Engineer Study Guide: Exam DP-203, accomplished data engineer and tech educator Benjamin Perkins delivers a hands-on, practical guide to preparing for the challenging Azure Data Engineer certification and for a new career in an exciting and growing field of tech.

In the book, you’ll explore all the objectives covered on the DP-203 exam while learning the job roles and responsibilities of a newly minted Azure data engineer. From integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure that is suitable for building analytics solutions, you’ll get up to speed quickly and efficiently with Sybex’s easy-to-use study aids and tools.

This Study Guide also offers:

  • Career-ready advice for anyone hoping to ace their first data engineering job interview and excel in their first day in the field
  • Indispensable tips and tricks to familiarize yourself with the DP-203 exam structure and help reduce test anxiety
  • Complimentary access to Sybex’s expansive online study tools, accessible across multiple devices, and offering access to hundreds of bonus practice questions, electronic flashcards, and a searchable, digital glossary of key terms

A one-of-a-kind study aid designed to help you get straight to the crucial material you need to succeed on the exam and on the job, the MCA Microsoft Certified Associate Azure Data Engineer Study Guide: Exam DP-203 belongs on the bookshelves of anyone hoping to increase their data analytics skills, advance their data engineering career with an in-demand certification, or hoping to make a career change into a popular new area of tech.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Acknowledgments
  5. About the Author
  6. About the Technical Editor
  7. Table of Exercises
  8. Introduction
    1. Who This Book Is For
    2. What This Book Covers
    3. How This Book Is Structured
    4. What You Need to Use This Book
    5. Interactive Online Learning Environment and TestBank
    6. DP‐203 Exam Objectives
    7. Reader Support for This Book
    8. Assessment Test
    9. Answers to Assessment Test
  9. PART I: Azure Data Engineer Certification and Azure Products
    1. Chapter 1: Gaining the Azure Data Engineer Associate Certification
      1. The Journey to Certification
      2. How to Pass Exam DP‐203
      3. Azure Product Name Recognition
      4. Azure Data Analytics
      5. Azure Storage Products
      6. Azure Databases
      7. Azure Security
      8. Azure Networking
      9. Azure Compute
      10. Azure Management and Governance
      11. Summary
      12. Exam Essentials
      13. Review Questions
    2. Chapter 2: CREATE DATABASE dbName; GO
      1. The Brainjammer
      2. A Historical Look at Data
      3. Data Structures, Types, and Concepts
      4. Data Programming and Querying for Data Engineers
      5. Understanding Big Data Processing
      6. Summary
      7. Exam Essentials
      8. Review Questions
  10. PART II: Design and Implement Data Storage
    1. Chapter 3: Data Sources and Ingestion
      1. Where Does Data Come From?
      2. Design a Data Storage Structure
      3. Design a Partition Strategy
      4. Design the Serving/Data Exploration Layer
      5. The Ingestion of Data into a Pipeline
      6. Migrating and Moving Data
      7. Summary
      8. Exam Essentials
      9. Review Questions
    2. Chapter 4: The Storage of Data
      1. Implement Physical Data Storage Structures
      2. Implement Logical Data Structures
      3. Implement a Partition Strategy
      4. Design and Implement the Data Exploration Layer
      5. Additional Data Storage Topics
      6. Summary
      7. Exam Essentials
      8. Review Questions
  11. PART III: Develop Data Processing
    1. Chapter 5: Transform, Manage, and Prepare Data
      1. Ingest and Transform Data
      2. Transformation and Data Management Concepts
      3. Data Modeling and Usage
      4. Summary
      5. Exam Essentials
      6. Review Questions
    2. Chapter 6: Create and Manage Batch Processing and Pipelines
      1. Design and Develop a Batch Processing Solution
      2. Manage Batches and Pipelines
      3. Summary
      4. Exam Essentials
      5. Review Questions
    3. Chapter 7: Design and Implement a Data Stream Processing Solution
      1. Develop a Stream Processing Solution
      2. Ingest and Transform Data
      3. Monitor Data Storage and Data Processing
      4. Summary
      5. Exam Essentials
      6. Review Questions
  12. PART IV: Secure, Monitor, and Optimize Data Storage and Data Processing
    1. Chapter 8: Keeping Data Safe and Secure
      1. Design Security for Data Policies and Standards
      2. Implement Data Security
      3. Develop a Batch Processing Solution
      4. Design and Implement the Data Exploration Layer
      5. Summary
      6. Exam Essentials
      7. Review Questions
    2. Chapter 9: Monitoring Azure Data Storage and Processing
      1. Monitoring Data Storage and Data Processing
      2. Develop a Batch Processing Solution
      3. Develop a Stream Processing Solution
      4. Azure Monitoring Overview
      5. Summary
      6. Exam Essentials
      7. Review Questions
    3. Chapter 10: Troubleshoot Data Storage Processing
      1. Optimize and Troubleshoot Data Storage and Data Processing
      2. Design and Develop a Batch Processing Solution
      3. Monitor Batches and Pipelines
      4. Design and Develop a Stream Processing Solution
      5. Summary
      6. Exam Essentials
      7. Review Questions
  13. Appendix: Answers to Review Questions
    1. Chapter 1: Gaining the Azure Data Engineer Associate Certification
    2. Chapter 2: CREATE DATABASE dbName; GO
    3. Chapter 3: Data Sources and Ingestion
    4. Chapter 4: The Storage of Data
    5. Chapter 5: Transform, Manage, and Prepare Data
    6. Chapter 6. Create and Manage Batch Processing and Pipelines
    7. Chapter 7: Design and Implement a Data Stream Processing Solution
    8. Chapter 8: Keeping Data Safe and Secure
    9. Chapter 9: Monitoring Azure Data Storage and Processing
    10. Chapter 10: Troubleshoot Data Storage Processing
  14. Index
  15. End User License Agreement

Product information

  • Title: MCA Microsoft Certified Associate Azure Data Engineer Study Guide
  • Author(s): Benjamin Perkins
  • Release date: September 2023
  • Publisher(s): Sybex
  • ISBN: 9781119885429