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Chapter 1: Introduction to Databricks SQL

Chapter 2: Key Audiences and Stakeholders for Databricks SQL Dashboards

Chapter 3: Benefits of Databricks SQL for Lakehouse Data Processing

Chapter 4: Executing Basic Queries in Databricks SQL

Chapter 5: Schema Browser and Query Editor Features

Chapter 6: Creating and Configuring Databricks SQL Dashboards

Chapter 7: Automatic Dashboard Refresh Configuration

Chapter 8: Databricks SQL Endpoints and Warehouses

Chapter 9: Serverless Databricks SQL Endpoints Overview

Chapter 10: Cost and Performance Trade-offs for Clusters in Databricks SQL

Chapter 11: Partner Connect and Integrations for Data Ingestion Tools

Chapter 12: Using Databricks SQL with Visualization Tools

Chapter 13: Medallion Architecture and Its Role in Data Analysis

Chapter 14: Handling Streaming and Batch Workloads in the Lakehouse

Chapter 15: Delta Lake Fundamentals and Metadata Management

Chapter 16: Historical Data Management with Delta Lake Tables

Chapter 17: Creating and Managing Databases, Tables, and Views

Chapter 18: Managed vs. Unmanaged Tables in Databricks

Chapter 19: Customizing Table Locations Using the LOCATION Keyword

Chapter 20: Persistence and Scope of Views and Temp Views

Chapter 21: Exploring, Previewing, and Securing Data with Data Explorer

Chapter 22: Modifying Table Access Rights and Ownership Responsibilities

Chapter 23: PII Data Management and Organization-Specific Considerations

Chapter 24: Writing SELECT Queries with Specific Conditions

Chapter 25: Output Predictions for SQL Queries

Chapter 26: Using MERGE INTO, INSERT TABLE, and COPY INTO Commands

Chapter 27: Advanced Query Techniques: Subqueries and Joins

Chapter 28: Aggregating Data Using Cube and Roll-Up Techniques

Chapter 29: Managing Nested Data Formats in Tables

Chapter 30: Leveraging Window Functions for Time-Based Aggregations

Chapter 31: Query History and Caching for Improved Performance

Chapter 32: ANSI SQL Standards and Their Benefits in Databricks SQL

Chapter 33: Optimizing Performance Using Higher-Order Functions

Chapter 34: Creating and Applying UDFs for Scaling Scenarios

Chapter 35: Building Basic Visualizations with Databricks SQL

Chapter 36: Types of Visualizations in Databricks SQL

Chapter 37: Formatting Visualizations for Better Data Storytelling

Chapter 38: Customizing Visualization Appearance and Themes

Chapter 39: Developing Dashboards with Multiple Visualizations

Chapter 40: Configuring Dashboard Parameters and Query-Based Dropdowns

Chapter 41: Sharing Dashboards and Configuring Refresh Schedules

Chapter 42: Setting Up Alerts and Notifications for Dashboards

Chapter 43: Descriptive Statistics and Key Statistical Measures

Chapter 44: Discrete vs. Continuous Statistics in Analytics

Chapter 45: Enhancing Data for Analytics Applications

Chapter 46: Data Blending Across Source Applications

Chapter 47: Scenario-Based Data Enhancement Techniques

Chapter 48: Performing Last-Mile ETL for Project-Specific Applications

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