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Azure Data Engineer Associate Certification Guide

Azure Data Engineer Associate Certification Guide - Second Edition

By : Palmieri, Surendra Mettapalli, Alex
4.6 (16)
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Azure Data Engineer Associate Certification Guide

Azure Data Engineer Associate Certification Guide

4.6 (16)
By: Palmieri, Surendra Mettapalli, Alex

Overview of this book

One of the top global cloud providers, Azure offers extensive data hosting and processing services, driving widespread cloud adoption and creating a high demand for skilled data engineers. The Azure Data Engineer Associate (DP-203) certification is a vital credential, demonstrating your proficiency as an Azure data engineer to prospective employers. This comprehensive exam guide is designed for both beginners and seasoned professionals, aligned with the latest DP-203 certification exam, to help you pass the exam on your first try. The book provides a foundational understanding of IaaS, PaaS, and SaaS, starting with core concepts like virtual machines (VMs), VNETS, and App Services and progressing to advanced topics such as data storage, processing, and security. What sets this exam guide apart is its hands-on approach, seamlessly integrating theory with practice through real-world examples, practical exercises, and insights into Azure's evolving ecosystem. Additionally, you'll unlock lifetime access to supplementary practice material on an online platform, including mock exams, interactive flashcards, and exam tips, ensuring a comprehensive exam prep experience. By the end of this book, you’ll not only be ready to excel in the DP-203 exam, but also be equipped to tackle complex challenges as an Azure data engineer.
Table of Contents (17 chapters)
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Lock Free Chapter
1
Part 1: Azure Basics
3
Part 2: Data Storage
6
Part 3:Data Processing
11
Part 4:Secure, Monitor, and Optimize Data Storage and Processing

Trigger Batches

By their nature, batch processes run when specific conditions occur; they do not run continuously. Specifying these conditions can also be described as defining a trigger for these processes. There are two types of triggers and they are as follows:

  • Schedule triggers: Here, the conditions are the occurrence of a specific date or time.
  • Event trigger: Here, the condition is the occurrence of something specific, such as the creation of a new Blob on a storage account.

Note

It is also common to use the term “triggers” to refer to event triggers, while “schedules” refers to schedule triggers.

You will explore schedule triggers in the Scheduling Data Pipelines in ADF or Synapse Pipelines section later. You will simply focus on event triggers for now.

Note

This section primarily focuses on the Trigger batches concept of the DP-203: Data Engineering on Microsoft Azure exam.

Many services in Azure allow the specification...

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