Improving Azure Data Lake Performance
Optimize Azure Data Lake performance! Learn to control and improve query efficiency, saving costs. Master Data Lake query management.
Course Content
Improving Azure Data Lake Performance is an intermediate-level Pluralsight course taught by Mike McQuillan. It runs 1h 39m, is taught in English, and includes a certificate of completion. Learners rate it 4.7 out of 5 from 19 reviews. It is a paid course, first published July 2024.
Improve Azure Data Lake Performance and unlock the full potential of your big data initiatives. Are your U-SQL queries slow? Does your Azure Data Lake seem to be reading your entire dataset, leading to lengthy processing times? Learn how to optimize your Azure Data Lake for faster, more efficient data processing.
This course provides practical strategies to structure your Azure Data Lake for optimal performance. You'll discover how to:
- Understand Azure Data Lake Internals: Gain insights into how Azure Data Lake handles various data types and how data storage can be optimized for speed.
- Optimize Non-Structured Data: Learn techniques to efficiently process and analyze unstructured data within your Data Lake.
- Master Data Partitioning: Explore the power of horizontal and vertical partitioning to significantly improve query performance.
- Horizontal Partitioning: Delegate control to the Data Lake for efficient data distribution.
- Vertical Partitioning: Gain developer control over data partitioning and distribution within the Data Lake.
By implementing these strategies, you'll be able to optimize your Azure Data Lake jobs, reduce processing times, and ultimately save on costs.
Software Required: Visual Studio Community Edition 2017 with the Azure Data Lake and Stream Analytics Tools installed.
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