Last updated 9/2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 2.38 GB | Duration: 5h 10m The Complete Guide to Querying Data with Snowflake
What you'll learn Snowflake Semi-Structured Data (JSON and Parquet Files) Queries Snowflake Windowing Queries Snowflake Data Generation Queries Snowflake Snowsight (Snowflakes Next Generation Worksheet Replacement) Snowflake Information Schema and Account Usage Queries Snowflake Common Table Expression and Connect By Queries Snowflake Pivot and Unpivot Queries Snowflake Query Performance Monitoring Requirements Some basic understand of Snowflake and SQL would be very helpful Description SQL is the most used query language in the world and Snowflake is quickly becoming the most used cloud data platform in the world. There are, of course, other query languages for different types of databases, such as NoSQL databases but SQL remain the standard and Snowflake's SQL implementation is full ANSI SQL compliant.Snowflake's cloud data platform features a data warehouse / data lake architecture that supports the most common standardized version of SQL (ANSI) for extremely powerful relational database querying. Snowflake can also be used as a data lake replacement, or supplement, because it can also aggregate semi-structured data such as JSON and Parquet, with structured data in a SQL format. Snowflake simplifies access to JSON data and allows users to combine it with structured data. In this course we cover many query techniques such as Windowing functions, Common Table Expressions (CTEs) and Connect By, generating data, time travel queries, working with dates and times, pivot and unpivot queries, regular expression queries and many other types of queries.We demonstrate how to perform query performance monitoring. We also spend a significant amount of time demonstrating how Snowflake can be used to query semi-structured data such as JSON and Parquet files.When you finish part 1 of this course you will have a solid foundation for performing numerous types of Snowflake queries. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Creating a demo account Section 2: Web UI and Worksheets Lecture 3 Worksheets Part 1 Lecture 4 Worksheets Part 2 Lecture 5 Snowsight Prelude Lecture 6 Snowsight Part 1 Lecture 7 Snowsight Part 2 Section 3: Miscellaneous Query Topics Lecture 8 Data Types Lecture 9 Getting the DDL statement for any Object Lecture 10 Information_Schema Lecture 11 Account Usage Queries Lecture 12 Connect By Clause Lecture 13 Limit / Fetch / Top N / Offset Lecture 14 Windowing Functions Part 1 Lecture 15 Windowing Functions Part 2 Lecture 16 Generating Data Lecture 17 Row Pattern Recognition Queries Section 4: Creating Queries Lecture 18 Joins Lecture 19 Subqueries Lecture 20 Common Table Expressions Lecture 21 Working with Dates and Times Lecture 22 Time Travel Queries Lecture 23 Pivot Queries Lecture 24 Regular Expression Queries Lecture 25 Frequently used Queries Section 5: Query Performance Monitoring Lecture 26 Query Performance Monitoring in Snowflake Lecture 27 The Snowflake Explain Statement Section 6: Querying Semi-Structured Data Lecture 28 Overview Lecture 29 External Stages and Tables Lecture 30 Other Types of Stages Lecture 31 Stages Wrap up Lecture 32 Lesser Known File Formats Lecture 33 Querying Parquet Files Lecture 34 Querying JSON Files Prelude Lecture 35 Querying JSON Files Section 7: Time for a Little Practice Lecture 36 Practice #1 Any Snowflake developer or administrator who wants a deeper understand of the types of queries that can be generated in Snowflake
