Course: Queries in Snowflake

$89.00
$107.69 incl. vat

duration: 6 hours |

Language: English (US) |

access duration: 90 days |

Details

Partitioning data based on a column is a common technique for performance query optimization in many database technologies. Snowflake is a highly-performant, big-data technology that uses its own form of data partitioning called micro-partitioning that stores data in columnar format. In this course, you’ll discover the advantages of Snowflake micro-partitions over regular, static partitioning. In addition you’ll learn about retrieval optimization caching, local disk caching, and implementing clustering with the correct clustering key. Finally, you’ll learn to implement external table partitioning, and use and analyze views.

Result

After completing this course, you’ll be able to use different types of performance optimization, and to work with external table partitions and views.

Prerequisites

Some prior knowledge of the topic is recommended.

Target audience

System Administrator, Database Administrators, Data analist

Content

Queries in Snowflake

6 hours

Queries in Snowflake: Getting Started with Performance Optimizations

  • Partitioning data based on a column is a common technique for

  • performance query optimization in many database technologies.
  • Snowflake is a highly-performant, big-data technology that uses its
  • own form of data partitioning called micro-partitioning that stores
  • data in columnar format. In this course, discover the advantages of
  • Snowflake micro-partitions over regular, static partitioning. Next,
  • examine how caching works in Snowflake. Finally, learn how to
  • perform the clustering of Snowflake tables and how clustering helps
  • the performance of filters, point-lookups, and range queries on the
  • clustering key columns. Upon completion, you'll be able to leverage
  • micro-partitioning in Snowflake, differentiate between retrieval
  • optimization caching and local disk caching, and implement
  • clustering with the correct clustering key.

Queries in Snowflake: Search Optimization, External Table Partitions, & Views

  • 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.

Course options

We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.

Optional practice exam (trial exam)

To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam. 

Optional practice lab

To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediatelyThe lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience. 

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