Implement Partitioning with Azure
Offered By: Pluralsight
Course Description
Overview
This Azure tutorial teaches you the data partitioning and sharding strategies in relational as well as non-relational cloud stores and data analyzation before migration, preparing you for the Microsoft Exam DP-203 Data Engineering.
Partitioning is an important strategy to segregate the data based on the partition key and distribute the data evenly across partitions for efficient querying and analysis. In this course, Implement Partitioning with Azure, you’ll learn to apply efficient partitioning, sharding, and data distribution techniques over Azure Cloud Portal for specific services. First, you’ll explore how to design non-relational data stores. Next, you’ll discover designing relational data stores. Finally, you’ll learn how to implement partitioning and sharding strategies over Azure Synapse. When you’re finished with this course, you’ll have the skills and knowledge of data distribution strategies across multiple cloud stores and even implement the global distribution of the data to increase throughput, the performance of the data stores, and availability of the dataset using the Azure Cloud Portal.
Partitioning is an important strategy to segregate the data based on the partition key and distribute the data evenly across partitions for efficient querying and analysis. In this course, Implement Partitioning with Azure, you’ll learn to apply efficient partitioning, sharding, and data distribution techniques over Azure Cloud Portal for specific services. First, you’ll explore how to design non-relational data stores. Next, you’ll discover designing relational data stores. Finally, you’ll learn how to implement partitioning and sharding strategies over Azure Synapse. When you’re finished with this course, you’ll have the skills and knowledge of data distribution strategies across multiple cloud stores and even implement the global distribution of the data to increase throughput, the performance of the data stores, and availability of the dataset using the Azure Cloud Portal.
Taught by
Niraj Joshi
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