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1
Introduction
2
Spark
3
SQL
4
syntactic requirements
5
Notebooks
6
SQL in Cells
7
Widgets
8
Dropdown
9
Query
10
Widget
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Race
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Multiselect
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Birthweight
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Get Argument
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SQL in Spark
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SQL in databases
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Download datasets
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Use statement
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Explain query
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Columns
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Show Create Table
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Show Table Properties
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Create Temporary Table
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Summary
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Drop Table
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Select from Table
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Select from Default
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Coding Errors
29
Refresh
30
Views
31
Temporary Views
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Common Table Expressions
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Pivot Table
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Map
35
Case Statements
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Conclusion
37
Wrap Up
Description:
Dive into Azure Databricks Structured Query Language (SQL) in this comprehensive 45-minute tutorial. Learn powerful techniques and essential tips for using SQL in Databricks notebooks. Explore SparkSQL syntax requirements, SQL in cells and databases, widgets, and common table expressions. Discover how to create and manage tables, use temporary views, and implement pivot tables. Master case statements and gain insights into coding errors and troubleshooting. Access accompanying slides, code, and sample files on GitHub to enhance your learning experience.

Azure Databricks SQL Introduction and Deep Dive

Bryan Cafferky
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#Programming #Cloud Computing #Azure Databricks #Domain-Specific Languages (DSL) #SQL #Data Science #Data Analysis #Spreadsheets #Pivot Tables #Common Table Expressions #Temporary Tables
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Introduction