Design Azure Data Storage Solutions
Lecture
Kerry Tyler
Intermediate
3 h 6 m
2019-11-27
Lecture Overview
In this course, students will gain knowledge and skills needed to design data storage solutions. Topics will include recommending the correct storage based on business and technical requirements, designing relational and non-relational cloud data stores. Specific focus points will be around data distribution, partitioning, designing for scale, high availability and disaster recovery on Cosmos DB, SQL Database, Azure Synapse Analytics, Data Lake Store Gen2 and Blob storage.

Related Learning Path(s):
DP-201: Designing an Azure Data Solution
Objectives
  • Students will learn how to recommend specific Azure data storage solutions based on business requirements.
  • Students will learn how to design data solutions using Azure data storage technologies to meet business requirements. These solutions will include the following Azure services: Azure Cosmos DB, Azure SQL Database, Azure SQL Data Warehouse, Azure Data Lake Storage, Azure Data Factory, Azure Stream Analytics, Azure Databricks, Azure Blob storage.
Pre-Requisites
  • • Students should have knowledge of Azure fundamentals
Lecture Modules
This module will cover how to choose the correct data storage solution to meet the technical and business requirements and choose the partition distribution type.
This module will teach how to, design data distribution and partitions, design for scale, including multi-region, latency, and throughput, design a solution that uses Cosmos DB, Data Lake Storage Gen2, or Blob storage, select the appropriate Cosmos DB API, design a disaster recovery strategy and design for high availability.
This Module is all about how to design data distribution and partitions, design for scale, including multi-region, latency, and throughput, design a solution that uses SQL Database and SQL Data Warehouse, design a disaster recovery strategy, design for high availability.
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