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Getting Started on Databricks SQL for Users

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In this video, you will learn how to leverage an end-to-end Data Warehousing and analytics solution right here on Databricks SQL. You will also learn how we have optimized our Data Intelligence platform using artificial intelligence, natural language processing and large language models.
00:00 - 00:48: Introduction to Databricks SQL Reference Architecture
00:49 - 03:14: Configuring our Compute Resource, the Serverless SQL Warehouse
03:15 - 04:40: Navigating the Catalog Explorer
04:41 - 04:50: Introduction to the SQL Editor
04:51 - 05:34: Creating Streaming Tables
05:35 - 07:01: Creating Materialized Views and using the Databricks Assistant
07:02 - 08:46: Performing Data Modeling and using the Entity Relationship Diagram
08:47 - 09:30: Query History and Query Profile
09:31 - 12:57: Creating a Lakeview Dashboard
12:58 - 13:44: Integrating with Power BI
13:45 - 14:28: Configuring Alerts for your data
14:29 - 15:24: Orchestrating your data using Workflows
15:25 - 16:03: Analyzing lineage between your data assets
16:04 - 17:45: Leveraging LLMs by using AI Functions in SQL
00:00 - 00:48: Introduction to Databricks SQL Reference Architecture
00:49 - 03:14: Configuring our Compute Resource, the Serverless SQL Warehouse
03:15 - 04:40: Navigating the Catalog Explorer
04:41 - 04:50: Introduction to the SQL Editor
04:51 - 05:34: Creating Streaming Tables
05:35 - 07:01: Creating Materialized Views and using the Databricks Assistant
07:02 - 08:46: Performing Data Modeling and using the Entity Relationship Diagram
08:47 - 09:30: Query History and Query Profile
09:31 - 12:57: Creating a Lakeview Dashboard
12:58 - 13:44: Integrating with Power BI
13:45 - 14:28: Configuring Alerts for your data
14:29 - 15:24: Orchestrating your data using Workflows
15:25 - 16:03: Analyzing lineage between your data assets
16:04 - 17:45: Leveraging LLMs by using AI Functions in SQL
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