Data Science Solution on Azure: Data Solution Optimization

Ensuring that data storage and processing systems are operating efficiently will allow your organization to save both time and money. There are several tips and tricks that can be used to optimize both Azure Data Storage service and processes. In this course youll learn about cloud optimization and best practices for optimizing data using data partitions Azure Data Lake Storage tuning Azure Synapse Analytics tuning and Azure Databricks auto-optimizing. Youll examine strategies for partitioning data using Azure-based storage solutions. Next youll explore the stages of the Azure Blob lifecycle management and how to optimize Azure Data Lake Storage Gen2 Azure Stream Analytics and Azure Synapse Analytics. Finally youll learn about optimizing Azure Data Storage services such Azure Cosmos DB using indexing and partitioning as well as Azure Blob Storage and Azure Databricks. This course is one in a collection that prepares learners for the Designing and Implementing a Data Science Solution on Azure (DP-100) exam.