Optimizing a Data Warehouse on the Microsoft SQL Server Platform

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Optimizing a Data Warehouse on the Microsoft SQL Server Platform
Thomas LeBlanc | Duration: 3 h 04 m | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 625 MB | Language: English + .srt | 2020

Once a data warehouse is initially created, performance and maintainability come into question. In this course, you'll explore SQL Server and the tools and resources needed to efficiently optimize a data warehouse.

The resources offered by Microsoft SQL Server are geared towards architects, developers, and administrators in the database realm. In this course, Optimizing a Data Warehouse on the Microsoft SQL Server Platform, you'll delve into the tools and resources available in SQL Server for optimizing a data warehouse. First, you'll explore the options for indexing in a data warehouse. Next, you'll learn how to use Integration Services (SSIS) to import source data into your destination. Then, you'll discover what the database engine includes, such as, table partitioning, various indexes like clustered and columnstore, and bulk insert. Finally, you'll explore documentation options that includes data flows complementing a data dictionary. By the end of this course, you'll have the necessary knowledge needed to effectively optimize your data warehouse on the Microsoft SQL Server platform.

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