Microsoft Azure Data Engineer Associate (DP-203) Cert Prep by Microsoft Press (2024)

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Free Download Microsoft Azure Data Engineer Associate (DP-203) Cert Prep by Microsoft Press (2024)
Released 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 9h 27m | Size: 1.2 GB
In this course, Microsoft MVP Tim Warner walks you through what to expect on the DP-203 Data Engineering on Microsoft Azure exam, covering every Exam DP-203 objective in a friendly and logical way. Tim dives into the intricacies of data engineering on Microsoft Azure, focusing on deploying efficient, secure, and robust data processing solutions. Learn how to design and implement diverse data storage strategies, including leveraging Azure Synapse Analytics for managing massive datasets efficiently. Discover techniques for data compression, partitioning, and sharding to optimize storage and access speed. Investigate table geometries, data redundancy, and archival methods to ensure data is both accessible and protected. Ideal for IT professionals, data scientists, and anyone interested in the data engineering capabilities of Azure, this course empowers you to build scalable data solutions and ensure that your data-driven applications perform seamlessly.

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Microsoft Azure Data Engineer Associate (DP-203) Cert Prep by Microsoft Press
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 9h 25m | 1.14 GB
Instructor: Tim Warner​

In this course, Microsoft MVP Tim Warner walks you through what to expect on the DP-203 Data Engineering on Microsoft Azure exam, covering every Exam DP-203 objective in a friendly and logical way. Tim dives into the intricacies of data engineering on Microsoft Azure, focusing on deploying efficient, secure, and robust data processing solutions.

Learn how to design and implement diverse data storage strategies, including leveraging Azure Synapse Analytics for managing massive datasets efficiently. Discover techniques for data compression, partitioning, and sharding to optimize storage and access speed. Investigate table geometries, data redundancy, and archival methods to ensure data is both accessible and protected. Ideal for IT professionals, data scientists, and anyone interested in the data engineering capabilities of Azure, this course empowers you to build scalable data solutions and ensure that your data-driven applications perform seamlessly.

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