Azure Data Engineer Associate (DP-203) Cert Prep: 3 Design and Implement Data Security

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Are you preparing for the Microsoft Azure Data Engineering (DP-203) exam, or seeking a better understanding of how to design and develop data processing? This course, the third in a series, can help you. Noah Gift, founder of Pragmatic A.I. Labs and a Python Software Foundation Fellow, covers how to design and implement data security with Azure. In the first section of the course, Noah covers design for security of data policies and standards, taking a look at topics like designing a data auditing strategy, designing a data retention policy, designing row-level and column-level security. In the second part of the course, Noah covers topics on how to implement data security from a broad level, including encrypting data at rest and in motion, implementing secure endpoints both—private and public, and implementing POSIX-like ACLs for Data Lake Storage Gen2.

01 - Introduction

01 - Overview

02 - 1. Design Security

01 - Design a data auditing strategy

02 - Design a data masking strategy

03 - Design for data privacy

04 - Design a data retention policy

05 - Design to purge data based on business requirements

06 - Role-based access control and POSIX-like Access Control List for Data Lake

07 - Design row-level and column-level security

03 - 2. Implement Data Security

01 - Encrypt data at rest and in motion

02 - Implement POSIX-like ACLs for Data Lake Storage Gen2

03 - Manage identities, keys, and secrets across different data platform technologies

04 - Implement secure endpointsprivate and public

05 - Implement resource tokens in Azure Databricks

06 - Load a DataFrame with sensitive information

07 - Write encrypted data to tables or Parquet files

04 - Conclusion

01 - Summary and next steps

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تولید کننده: LinkedIn Learning (Lynda)