IT Professional Certifications     Microsoft     Microsoft Certified: Azure Data Scientist Associate     DP-100: Designing and Implementing a Data Science Solution on Azure

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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, you'll 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. You'll examine strategies for partitioning data using Azure-based storage solutions. Next, you'll 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, you'll 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.

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Objectives

DP-100 - Azure Data Scientist Associate: Data Solution Optimization discover the key concepts covered in this course describe cloud optimization, as well as best practices for optimizing data using data partitions, Azure Data Lake Storage tuning, Azure Synapse Analytics tuning, and Azure Databricks auto-optimizing describe various strategies for partitioning data using Azure-based storage solutions describe the stages of the Azure Blob lifecycle management describe how to optimize Azure Data Lake Storage Gen2 for performance describe methods for optimizing Azure Stream Analytics describe methods for optimizing Azure Synapse Analytics describe how to optimize Azure Cosmos DB using indexing and partitioning describe methods for optimizing Azure Blob Storage describe methods for optimizing Azure Databricks summarize the key concepts covered in this course