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Improving Azure Data Lake Performance

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Improving Azure Data Lake Performance
Improving Azure Data Lake Performance
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 269 MB
Genre: eLearning | Language: English


Running queries in Azure Data Lake? Are your queries costing too much? This course will help you learn how to take control of your Data Lake and grab those pesky queries by the scruff of the neck and improve Azure Data Lake performance.

OK, so you are using Azure Data Lakes, and you think it's great. You just wish you could improve the performance of your U-SQL queries. Why does that query always read your entire data set? Why does this query take forever to complete? Like anything else in the Big Data world, your Azure Data Lake has to be structured around your data. This course, Improving Azure Data Lake Performance, will show you how to put the right structure in place and magic will start to happen! First, you'll see how an Azure Data Lake works behind the scenes - how it handles different types of data and how the storage of that data can be optimized. Next, you'll see how it's possible to optimize non-structured data, but the real power of a Data Lake comes to light when you use databases to structure your data. Finally, you'll be shown how structuring your data opens up a world of possibilities, including horizontal and vertical partitioning. Horizontal partitioning allows you to defer a lot of control to the Data Lake, whereas vertical partitioning allows you - the developer - to take total control of how your data is partitioned and distributed within the Data Lake. When you're finished with this course, you'll understand how you can better optimize your jobs and save some cash. Software required: Visual Studio Community Edition 2017, SQL Server Data Tools for Visual Studio 2017.

Improving Azure Data Lake Performance

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