DP-203: Building an Azure Data Engineer Foundation

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Chris Behrens

4:26:59

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01 Implement Data Security

001 Section Introduction.mp4

02:23

002 About the Exam.mp4

07:11

003 Skills Needed for This Course.mp4

06:11

004 What Are You Going to Learn.mp4

04:55

02 An Introduction to Data Engineering

001 DP-203 Exam Detail.txt

001 Data Engineering at a Glance.mp4

07:29

002 Introducing ETL vs. ELT.mp4

08:45

003 Introducing OLTP vs. OLAP.mp4

04:54

004 Introducing Data Warehousing.mp4

07:35

005 Introduction to Database Schema.mp4

06:54

006 The Key to Understanding Database Schemas.mp4

08:06

007 Section Recap.mp4

07:48

03 An Introduction to Data Partitioning

001 An Overview of Data Processing.mp4

10:30

002 The Basics of Partitioning Data.mp4

06:45

003 Partitioning Data Best Practices.mp4

10:32

004 Sharding Data (Partitioning vs. Sharding).mp4

07:59

005 Demo Choosing a Partition Key.mp4

06:18

006 Section Recap.mp4

05:35

04 Implement a Partition Strategy

001 Understanding File Types.mp4

06:27

002 Implement a Partition Strategy for Files.mp4

07:05

003 Introducing Streaming vs. Batch (Business Concept at a High Level).mp4

09:45

004 Implement a Partition Strategy for Streaming Workloads.mp4

06:12

005 Demo Implement a Partition Strategy for Streaming.mp4

06:21

007 Introducing Azure Synapse Analytics.mp4

07:06

008 Implement a Partition Strategy for Azure Synapse Analytics.mp4

09:34

009 Demo Partition Tables in a Dedicated SQL Pool in Synapse Analytics.mp4

04:48

011 Introducing Azure Data Lake Storage.mp4

09:15

012 Identify When Partitioning Is Needed in Azure Data Lake Storage Gen2.mp4

06:46

014 Section Recap.mp4

07:41

05 Design and Implement the Data Exploration Layer

001 Introducing Azure SQL Serverless vs. Provisioned.mp4

09:57

002 Create and Execute Queries by Using a Computer Solution that Leverages SQL Serverless and Spark Cluster.mp4

05:26

003 Demo Execute Queries to Shared Databases from Azure Data Studio.mp4

04:34

005 Recommend and Implement Azure Synapse Analytics Database Templates.mp4

04:19

006 Demo Create a New Lake Database Leveraging Database Templates.mp4

05:39

007 Introducing Microsoft Purview.mp4

07:05

008 Push New or Updated Data Lineage to Microsoft Purview.mp4

05:00

009 Demo Browse and Search Metadata in Microsoft Purview Data Catalog.mp4

05:05

010 Section Recap.mp4

05:37

06 Conclusion

001 Course Summary.mp4

05:54

002 Conclusion and Whats Next.mp4

01:09

003 Exam Guide.mp4

06:24

Description

This course will teach you the foundations of any data solution, batch and streaming, within Microsoft Azure.

What You'll Learn?

The recommended order of courses to prepare for the DP-203: Data Engineering on Microsoft Azure certification is as follows: * Building an Azure Data Engineer Foundation * Data Ingestion and Preparation * Processing in Azure Using Batch Solutions * Processing in Azure Using Streaming Solutions * Secure, Monitor, and Optimize Data Storage and Processing Finally, use the practice exams to test your understanding for the exam. In this course, *DP-203: Building an Azure Data Engineer Foundation*, you’ll learn to partition, secure, and query your data, both in batch and streaming solutions, within Microsoft Azure. First, you’ll explore the foundations of data engineering in Azure. Next, you’ll discover how to design and implement partition strategies for several solutions and services in Azure. Finally, you’ll learn how to query, secure, and manage data governance within Azure. When you’re finished with this course, you’ll have the skills and knowledge of data engineering in Azure needed to design data solutions in Azure that can scale up to petabytes without compromising performance or governance.

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Microsoft Azure

Chris Behrens

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