Snowflake Database - Tips, Techniques And Cool Stuff - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Snowflake Database - Tips, Techniques And Cool Stuff (/Thread-Snowflake-Database-Tips-Techniques-And-Cool-Stuff) |
Snowflake Database - Tips, Techniques And Cool Stuff - AD-TEAM - 08-03-2024 Snowflake Database - Tips, Techniques And Cool Stuff Last updated 5/2021 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.86 GB | Duration: 5h 11m This course is packed with tips, techniques and just cool stuff that demonstrates why Snowflake is so popular
[b]What you'll learn[/b] 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 [b]Requirements[/b] Some basic Snowflake experience would be helpful. This would be considered an advanced beginner to intermediate level course for Snowflake users [b]Description[/b] 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. Overview Section 1: Introduction Lecture 1 Introduction Section 2: Snowflake User Interface (Web UI) Techniques Lecture 2 A Quick Tour of the Web UI Lecture 3 Finding Objects in Your Account and/or Database Lecture 4 Getting Object information Lecture 5 Executing SQL Statements Lecture 6 Search and Replace Lecture 7 Commenting Your Code Lecture 8 Copying and Moving Code Lecture 9 Query and Results History - Part 1 Lecture 10 Query and Results History - Part 2 Section 3: SQL Tips and Techniques Lecture 11 Information_Schema Lecture 12 Databases and Schemas Lecture 13 Tables Lecture 14 Table Constraints Lecture 15 Columns Lecture 16 Views Lecture 17 Data Types Lecture 18 User-defined Functions Lecture 19 Users and the Result_Scan Function Lecture 20 Users Never Logged In Lecture 21 Query History Lecture 22 Virtual Warehouses (Compute) Lecture 23 Dates Lecture 24 Converting Time zones Section 4: Cool Features and Functions in Snowflake Lecture 25 10 Features That Make Snowflake Cool - Plus a Bonus 11th. Lecture 26 Generators Lecture 27 Using Snowflake as a Data Lake Lecture 28 Data Masking Lecture 29 Creating a Table from a Clone and Time Travel Lecture 30 Resource Monitors Lecture 31 Dropping and Un-dropping Objects Section 5: Windowing Functions and Analytical Techniques Lecture 32 Overview Lecture 33 Rank Lecture 34 Lead and Lag Lecture 35 First and Last Lecture 36 Ratio_To_Report Lecture 37 Moving Averages Lecture 38 Techniques for Percentiles Lecture 39 Grouping Sets Section 6: Miscellaneous Lecture 40 Terminology Tips Lecture 41 Parameters - A Technique for Controlling the Environment Lecture 42 ListAgg Lecture 43 The Qualify Function Lecture 44 The ILIKE Function Lecture 45 The HASH_AGG Function and Comparing Two Objects Lecture 46 Killing a Session (Connection) Lecture 47 Monitoring Warehouse Usage Lecture 48 Date Extraction Confusion Lecture 49 Convert a Permanent Table to Transient Lecture 50 Generate a DDL Statement for an Object Lecture 51 20 Performance and Money-Saving Tips Section 7: Test Your Knowledge Lecture 52 Test Your Knowledge Anyone who is in the role of Snowflake data engineer, data warehouse developer or data architect |