Optimize Data Pipelines with Azure Data Factory and Synapse Analytics

Data engineering is a hot topic in IT right now, as the velocity, volume, and variety of data nowadays require skills beyond just traditional ETL. This course will teach you how to manage data pipelines on Azure as preparation for the DP-203 exam.
Course info
Level
Advanced
Updated
Jun 1, 2021
Duration
50m
Table of contents
Description
Course info
Level
Advanced
Updated
Jun 1, 2021
Duration
50m
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Description

Nowadays data is everywhere, and companies are increasingly interested in transforming this data on insights that can help them become more efficient and productive. In this course, Optimize Data Pipelines with Azure Services, you’ll learn to manage and optimize pipelines on Azure. First, you’ll explore how to manage pipelines. Next, you’ll discover how and when to execute them through triggers. Finally, you’ll learn how to perform error-handling and retries for your pipelines. When you’re finished with this course, you’ll have the skills and knowledge of data pipelines on Azure Services needed for the exam DP-203.

About the author
About the author

With over 20 years of experience on Microsoft infrastructure, data and collaboration software, Emilio Melo has a newly found passion and enthusiasm for the incredible potential of the cloud.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi everyone. My name is Emilio Melo, and welcome to my course, Optimize Data Pipelines with Azure Services. I am a cloud solutions architect at Cloud Advantage with focus on data and AI technologies. Nowadays, data is everywhere, and companies are increasingly interested in transforming this data on insights that can help them become more efficient and productive. The DP‑203 exam is a great way to validate your Azure data platform knowledge. In this course, Optimize Data Pipelines with Azure Services, you'll learn to manage and optimize pipelines on Azure, which is a prerequisite topic for the exam. Some of the major topics that we're going to go over include, how to create and manage data pipelines; how to execute these pipelines, both on demand or through triggers; and how to monitor and troubleshoot your pipelines. By the end of this course, you'll know how to trigger, monitor, and troubleshoot your data pipelines in Azure. Before beginning this course, you should have some basic familiarity with both Azure and databases. From here, you should feel comfortable diving into other Azure data platform topics related to the DP‑203 exam. I hope you'll join me on this journey to learn Azure data pipelines with the Optimize Data Pipelines with Azure Services course, at Pluralsight.