Snowflake Database - Querying Data Part 1

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