Snowflake Performance: Query Acceleration and Caching
Snowflake
| Intermediate
- 10 videos | 1h 23m 27s
- Includes Assessment
- Earns a Badge
Optimizing data queries in Snowflake involves partitioning and clustering large datasets to ensure quicker access and improved performance. Mastering query acceleration and caching techniques is essential for faster response times and accurate, up-to-date query results. In this course, you will learn about the Snowflake data model, focusing on how data is structured and managed within the platform. Then you will explore the importance of partitions and clustering, essential techniques for optimizing data queries by dividing large datasets into smaller, manageable pieces for quicker access and improved performance. Next, you will investigate techniques to enhance query performance, such as query acceleration and caching. You will enable query acceleration for warehouses for faster response times in complex queries and assess which queries benefit most from these enhancements. Additionally, you will use SnowSQL for efficient data loading. Finally, you will discover the intricacies of query result caching, see how your query structure affects caching, and manage caching effectively, including turning it off to ensure accurate and up-to-date query results.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this course
Analyze how databases, schemas, tables, and partitions figure into snowflake's data model
Outline the working of clustering, time travel, and fail-safe
Analyze the working of the query acceleration service (qas) and caching on snowflake
Instantiate a warehouse with the qas turned on and evaluate a query for eligibility -
Analyze the results of an eligible query run with and without query acceleration
Load data into a table for benchmarking purposes
Analyze the impact of query result caching and local disk caching
Outline scenarios where query result caching is and is not used
Summarize the key concepts covered in this course
IN THIS COURSE
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1m 6sIn this video, we will discover the key concepts covered in this course. FREE ACCESS
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11m 35sUpon completion of this video, you will be able to analyze how databases, schemas, tables, and partitions figure into Snowflake's data model. FREE ACCESS
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3. Partitions and Clustering7m 13sAfter completing this video, you will be able to outline the working of clustering, time travel, and fail-safe. FREE ACCESS
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4. Query Acceleration and Caching12mUpon completion of this video, you will be able to analyze the working of the query acceleration service (QAS) and caching on Snowflake. FREE ACCESS
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5. Enabling Query Acceleration10m 42sLearn how to instantiate a warehouse with the QAS turned on and evaluate a query for eligibility. FREE ACCESS
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6. Analyzing Eligibility for Query Acceleration12m 38sIn this video, find out how to analyze the results of an eligible query run with and without query acceleration. FREE ACCESS
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7. Using SnowSQL for Data Loading10m 22sDuring this video, discover how to load data into a table for benchmarking purposes. FREE ACCESS
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8. Caching Query Results11m 55sIn this video, you will learn how to analyze the impact of query result caching and local disk caching. FREE ACCESS
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9. Turning Off Caching4m 20sFind out how to outline scenarios where query result caching is and is not used. FREE ACCESS
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10. Course Summary1m 37sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
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