| 001. Design and implement data storage on Microsoft Azure.en.srt | 1.2 KB | ||
| 001. Design and implement data storage on Microsoft Azure.mp4 | 5.8 MB | ||
| 002. Quick prerequisite technology overview.en.srt | 6 KB | ||
| 002. Quick prerequisite technology overview.mp4 | 32 MB | ||
| 003. Design an Azure Data Lake solution.en.srt | 2.8 KB | ||
| 003. Design an Azure Data Lake solution.mp4 | 14.8 MB | ||
| 004. Recommend file types for storage.en.srt | 2.4 KB | ||
| 004. Recommend file types for storage.mp4 | 13.9 MB | ||
| 005. Recommend file types for analytical queries.en.srt | 3.1 KB | ||
| 005. Recommend file types for analytical queries.mp4 | 17.4 MB | ||
| 006. Design for efficient querying.en.srt | 3.3 KB | ||
| 006. Design for efficient querying.mp4 | 17.3 MB | ||
| 007. Design for data pruning.en.srt | 1.8 KB | ||
| 007. Design for data pruning.mp4 | 11.1 MB | ||
| 008. Design a folder structure.mp4 | 21.4 MB | ||
| 009. Design a distribution strategy.en.srt | 3 KB | ||
| 009. Design a distribution strategy.mp4 | 16.4 MB | ||
| 010. Design a data archiving solution.en.srt | 3.5 KB | ||
| 010. Design a data archiving solution.mp4 | 18.7 MB | ||
| 011. Overview of data partitioning.en.srt | 4.6 KB | ||
| 011. Overview of data partitioning.mp4 | 23.7 MB | ||
| 012. Partition strategy.en.srt | 7.5 KB | ||
| 012. Partition strategy.mp4 | 40.4 MB | ||
| 013. Design analytical stores.en.srt | 8.2 KB | ||
| 013. Design analytical stores.mp4 | 41.1 MB | ||
| 014. Design metastores.en.srt | 9.6 KB | ||
| 014. Design metastores.mp4 | 50.4 MB | ||
| 015. Implement different table geometries.en.srt | 7.4 KB | ||
| 015. Implement different table geometries.mp4 | 39.4 MB | ||
| 016. Implement data storage structures.en.srt | 9 KB | ||
| 016. Implement data storage structures.mp4 | 51 MB | ||
| 017. Implement data architectures, structures, and serving.en.srt | 6 KB | ||
| 017. Implement data architectures, structures, and serving.mp4 | 30.7 MB | ||
| 018. Summary and next steps.en.srt | 6.8 KB | ||
| 018. Summary and next steps.mp4 | 33.7 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 37 total files | |||
Microsoft Azure Data Engineering (DP-203): 1 Designing and Implementing Data Storage
https://CourseWikia.com
Duration: 55m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 479 MB
Genre: eLearning | Language: English
Are you preparing for the Microsoft Azure Data Engineering (DP-203) exam, or just looking for a stronger understanding of how to design and implement data storage? Either way, this course, the first in a series, can help you. Noah Gift, founder of Pragmatic A.I. Labs and a Python Software Foundation Fellow, shows you how to design and implement data storage on Azure. Noah walks you through the full process of designing a data storage structure, from designing an Azure Data Lake solution to designing a data archiving solution. He explains horizontal, vertical, and functional data partitioning strategies and how to choose which strategy will work best for your data. Noah goes over designing both analytical stores and metastores, then dives into implementing table geometries, data storage structures, data architectures, and more.
Note: This course was created by Noah Gift. We are pleased to host this training in our library.
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