Queries in Snowflake: Search Optimization, External Table Partitions, & Views
Snowflake
| Intermediate
- 15 videos | 1h 32m 27s
- Includes Assessment
- Earns a Badge
Search optimization service is a Snowflake feature used to create an auxiliary data structure optimized as a search access path to improve selective point lookup query performance. While search optimization is an extremely handy feature, it can also run up substantial storage and compute costs. In this course, learn how to implement search optimizations by measuring the cost of search optimizations for your table and adding the service to it. Next, differentiate between search optimizations and clustering and discover how to implement partitioning for external tables. Finally, practice working with views in Snowflake and differentiate between non-materialized, materialized, and secure views. Upon completion, you'll be able to leverage search optimization in Snowflake, implement external table partitioning, and use and analyze views.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this courseOutline search optimization in snowflake and the search optimization serviceEnable search optimizationUse search optimization and recall its advantagesCompare the performance benefits of search optimization and clusteringIdentify how to partition external tables in snowflakeCreate an external stage and external table from data in s3Partition external tables
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Perform manual partitioning on external tablesDifferentiate non-materialized, materialized, and secure viewsCreate non-materialized viewsQuery views and observe the outcomesQuery materialized views to observe performance benefitsCreate and use secure viewsSummarize the key concepts covered in this course
IN THIS COURSE
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1m 12s
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6m 40s
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8m 16s
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6m 29s
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8m 6s
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3m 9s
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8m 9s
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5m 17s
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5m 58s
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8m 33s
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6m 18s
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5m 17s
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9m 44s
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4m 5s
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5m 13s
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