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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

Scheduling Data Pipelines in ADF or Synapse

Scheduling pipelines refers to the process of defining when and how a pipeline needs to be started. The process is the same for ADF and Synapse pipelines. ADF and Azure Synapse pipelines offer robust scheduling capabilities, crucial for automating and orchestrating data workflows. By defining schedules, pipelines execute at specific intervals or times, guaranteeing timely data processing and seamless integration tasks.

Note

This section primarily focuses on the Schedule data pipelines in Data Factory or Azure Synapse pipelines concept of the DP-203: Data Engineering on Microsoft Azure exam.

In order to schedule pipelines, ADF and Synapse pipelines have a button named Add trigger in the Pipelines (Figure 7.11):

Figure 7.11 – The image depicts the Azure Data Factory interface showing the “Add trigger” button highlighted. The dropdown menu offers two options: “Trigger now” for immediate execution, and “New/Edit“ to create or modify a trigger for ADF/Synapse pipelines.

Figure 7.11 – Adding a trigger from ADF/Synapse pipelines

On clicking the Add Trigger button, a screen like the one shown in Figure 7.12 shows the details that are required to configure...

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