When you need to scale your data warehouse's storage and processing capabilities in minutes, not months, you need a cloud-based massively parallel processing solution.
What you'll learn
Choosing a massively parallel processing architecture for a cloud-based data warehouse.
Designing tables and indexes to efficiently distribute data in tables across many nodes.
Loading data from a variety of sources, querying using PolyBase, securing and recovering data, and integrating into Big Data environments.
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