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Snowflake Database - Tips, Techniques and Cool Stuff
Score 4,5 van de 5(216 scores)
1.689 studenten
Gemaakt doorRandy Minder
Laatst bijgewerkt: 5-2021
Engels

Wat je leert

  • Web UI tips and techniques
  • Working with query and results history
  • Dozens of SQL tips and techniques
  • Many cool features and functions of Snowflake
  • Techniques for analyzing data
  • Tips for monitoring warehouse usage

Cursusinhoud

7 secties52 collegesTotale lengte van 5u 10m
  • Introduction1:37

    Course introduction

Vereisten

  • Some basic Snowflake experience would be helpful.
  • This would be considered an advanced beginner to intermediate level course for Snowflake users

Beschrijving

Snowflake was founded in 2012 and released in late 2014. The company was founded by Benoit Dageville, Thierry Cruanes and Marcin Żukowski, who, between them, have over 120 patents. Dageville (PhD) spent 16 years at Oracle as an architect. Cruanes spent 13 years at Oracle focused on the optimization and parallelization layers in Oracle databases including as lead for the optimization group. Zukowski invented vectorized query execution for databases. His innovation emerged from his PhD research into optimizing database query execution for modern processors. These three legends have created a company that has currently has 250 petabytes under management, 1,300 partners, over 4,000 customers and $265M in revenue in 2020.

Since its release it has acquired close to 20% of the data warehouse market. It's no wonder. Snowflake is built from the ground up to be unique and purely cloud-based. In this course we show you dozens of tips, tricks and demonstrations of cool things Snowflake can do. We cover numerous SQL tips and tricks. We cover cool features such as resource monitors, the amazing Web UI, generators, using Snowflake as a data lake (which you could, and should, be doing), analytical functions in Snowflake, monitors warehouse usage and so much more.



Voor wie is deze cursus bedoeld:

  • Anyone who is in the role of Snowflake data engineer, data warehouse developer or data architect