DP-203: Secure, Monitor, and Optimize Data Storage and Processing

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Chris Behrens

2:39:41

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01 Introduction

001 Course Introduction.mp4

01:55

02 Implement Data Security

001 Introduction Implement Data Security.mp4

01:02

002 Defense in Depth.mp4

04:40

002 Defense in Depth.txt

002 What Are the 7 Layers of Security.txt

003 Implement Data Masking.mp4

06:37

005 Encrypt Data at Rest and in Motion.mp4

07:43

005 Microsoft Learn.txt

005 University of Rochester Encryption.txt

006 Implement Row-Level and Column-Level Security.mp4

08:55

007 Securing Azure Data Lake through RBAC and ACLs.mp4

06:09

008 Implement a Data Retention Policy.mp4

06:17

008 Manage Long-Term Retention.txt

009 Best Practices for Endpoint Security on Azure.txt

009 Implement Secure Endpoints.mp4

08:44

009 Virtual Network Service Endpoints.txt

009 What Is Azure Private Link Service.txt

010 Implement Resource Tokens in Azure Databricks.mp4

04:49

011 Load a DataFrame with Sensitive Information.mp4

03:56

012 Write Encrypted Data to Tables or Parquet Files.mp4

03:08

013 Manage Sensitive Information.mp4

04:05

014 Recapping Important Concepts Related to Implementing Data Security.mp4

04:34

014 What Are the 7 Layers of Security.txt

03 Monitor Data Storage and Data Processing

001 What Is the Goal of Monitoring.mp4

04:10

002 Implement Logging Used by Azure Monitor.mp4

05:14

003 Configure Monitoring Services.mp4

05:16

004 Monitor Stream Processing.mp4

04:48

004 Raspberry Pi Azure IoT Online Simulator.txt

005 Measure Performance of Data Movement.mp4

03:37

006 Monitor and Update Statistics about Data across a System.mp4

07:11

007 Monitor Data Pipeline Performance.mp4

05:35

008 Measure Query Performance.mp4

02:37

008 Monitor your Azure Synapse Analytics dedicated SQL pool workload using DMVs.txt

009 Schedule and Monitor Pipeline Tests.mp4

02:33

010 Interpret Azure Monitor Metrics and Logs.mp4

03:45

011 Implement a Pipeline Alert Strategy.mp4

04:45

012 Recapping Monitoring Data Storage and Data Processing.mp4

04:34

04 Optimize and Troubleshoot Data Storage and Data Processing

001 Compact Small Files.mp4

07:14

002 Handle Skew in Data.mp4

02:57

003 Handle Data Spill.mp4

02:32

004 Optimize Resource Management.mp4

01:57

005 Tune Queries by Using Indexers.mp4

02:03

006 Tune Queries by Using Cache.mp4

02:43

007 Troubleshoot a Failed Spark Job.mp4

01:25

008 Troubleshoot a Failed Pipeline Run.mp4

02:57

009 Recapping Optimizing and Troubleshooting Data Storage and Data Processing.mp4

03:14

05 Conclusion

001 Course Summary.mp4

02:27

002 Conclusion and Whats Next.mp4

00:50

003 About the Exam.mp4

02:43

003 DP-203 Practice Assessment on Microsoft Learn.txt

003 Microsoft Certification Exam Sandbox.txt

Description

This course will teach you the tools, process, and approach to secure, monitor, and optimize data storage and processing.

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: Secure, Monitor, and Optimize Data Storage and Processing*, you’ll learn the necessary skills to excel in each aspect mentioned in the title. First, you’ll explore secure options for data storage. Next, you’ll discover what monitoring capabilities are available for your different data services. Finally, you’ll learn how to optimize your data estate to get the most out of your data. When you’re finished with this course, you’ll have the skills and knowledge of securing, monitoring, and optimizing data storage and processing needed to be an effective data professional.

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Data Science

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Information Security

Chris Behrens

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