Data Engineering on Microsoft Azure: Data Solution Optimization
Azure
| Intermediate
- 11 videos | 58m
- Includes Assessment
- Earns a Badge
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, as well as some best practices for optimizing data using data partitions, Azure Data Lake Storage tuning, Azure Synapse Analytics tuning, and Azure Databricks auto-optimizing. Next, you'll learn about strategies for partitioning data using Azure-based storage solutions. You'll learn about 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 explore how to optimize 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 Microsoft Data Engineering on Microsoft Azure (DP-203) exam.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this course
Describe the concept of cloud optimization and some best practices for optimizing data using data partitions, azure data lake storage tuning, azure synapse analytics tuning, and azure databricks auto-optimizing
Describe how to optimize azure stream analytics jobs
Describe various strategies for partitioning data using azure-based storage solutions
Describe how to optimize the azure data lake storage gen2 for performance
Describe methods for optimizing azure synapse analytics -
Describe how to optimize the azure cosmos db using indexing and partitioning
Describe methods for monitoring azure databricks
Describe methods for optimizing azure databricks
Describe how to manage common data troubleshooting techniques
Summarize the key concepts covered in this course
IN THIS COURSE
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2m 5s
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6m 47sAfter completing this video, you will be able to describe the concept of cloud optimization and some best practices for optimizing data using data partitions, Azure Data Lake Storage tuning, Azure Synapse Analytics tuning, and Azure Databricks auto-optimizing . FREE ACCESS
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3. Azure Stream Analytics Optimization6m 15sUpon completion of this video, you will be describe how to optimize Azure Stream Analytics jobs. FREE ACCESS
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4. Data Partitioning Strategies6m 22sAfter reviewing this video, you will be able to describe various strategies for partitioning data using Azure-based storage solutions. FREE ACCESS
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5. Azure Data Lake Storage Gen2 Optimization4m 54sIn this video, we will describe how to optimize the Azure Data Lake Storage Gen2 for performance. FREE ACCESS
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6. Azure Synapse Analytics Optimization7m 22sAfter completing this video, you will be able to describe methods for optimizing Azure Synapse Analytics. FREE ACCESS
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7. Azure Cosmos DB Optimization6m 6sUpon completion of this video, you will be able to describe how to optimize the Azure Cosmos DB using indexing and partitioning. FREE ACCESS
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8. Azure Databricks Monitoring4m 42sAfter completing this video, you will be able to describe methods for monitoring Azure Databricks. FREE ACCESS
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9. Azure Databricks Optimization5m 5sIn this video, we will describe methods for optimizing Azure Databricks. FREE ACCESS
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10. Azure Data Troubleshooting7m 38sUpon completion of this video, you will be able to describe how to manage common data troubleshooting techniques. FREE ACCESS
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11. Course Summary43sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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