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Databricks Certified Data Analyst Associate Study Guide
Master the Databricks Certified Data Analyst Associate Exam with Confidence
Data analysts proficient in Databricks are in high demand as businesses increasingly rely on data-driven decision-making. The Databricks Certified Data Analyst Associate certification validates your ability to work with the Databricks Lakehouse Platform, analyze data using Databricks SQL, and create dashboards to extract meaningful insights. This certification serves as proof that you have the skills to query, transform, and visualize data efficiently within Databricks.
This comprehensive study guide is designed to prepare you for the exam with precision and efficiency. Every chapter is structured to maximize your learning, covering only the essential topics—no fluff, no wasted time, just exam-focused content. You’ll find real-world examples, hands-on exercises, and mock tests to reinforce your understanding and ensure exam success.
Key Topics
Section 1: Databricks SQL
✔ Understanding the key audience and use cases for Databricks SQL
✔ Running and optimizing SQL queries for data processing
✔ Creating and managing Databricks SQL dashboards
✔ Configuring Databricks SQL endpoints and cost optimization strategies
✔ Integrating with Fivetran, Tableau, Power BI, and Looker
Section 2: Data Management
✔ Delta Lake for efficient data storage and table metadata management
✔ Managing managed and unmanaged tables
✔ Creating and securing databases, tables, and views
✔ Implementing data governance and handling PII data
Section 3: SQL in the Lakehouse
✔ Writing optimized SQL queries for structured data analysis
✔ Understanding JOINs, subqueries, MERGE INTO, and COPY INTO
✔ Aggregating data using roll-up, cube, and windowing functions
✔ Cleaning and optimizing silver-level data
✔ Leveraging query caching and performance tuning
Section 4: Data Visualization & Dashboarding
✔ Creating interactive visualizations and dashboards in Databricks SQL
✔ Formatting visual elements for better data storytelling
✔ Configuring query parameters and automated refresh schedules
✔ Setting up and troubleshooting dashboard alerts and notifications
Section 5: Analytics Applications
✔ Applying descriptive statistics and key analytical techniques
✔ Enhancing and blending data across multiple sources
✔ Performing last-mile ETL for analytics-driven insights
Data analysts proficient in Databricks are in high demand as businesses increasingly rely on data-driven decision-making. The Databricks Certified Data Analyst Associate certification validates your ability to work with the Databricks Lakehouse Platform, analyze data using Databricks SQL, and create dashboards to extract meaningful insights. This certification serves as proof that you have the skills to query, transform, and visualize data efficiently within Databricks.
This comprehensive study guide is designed to prepare you for the exam with precision and efficiency. Every chapter is structured to maximize your learning, covering only the essential topics—no fluff, no wasted time, just exam-focused content. You’ll find real-world examples, hands-on exercises, and mock tests to reinforce your understanding and ensure exam success.
Key Topics
Section 1: Databricks SQL
✔ Understanding the key audience and use cases for Databricks SQL
✔ Running and optimizing SQL queries for data processing
✔ Creating and managing Databricks SQL dashboards
✔ Configuring Databricks SQL endpoints and cost optimization strategies
✔ Integrating with Fivetran, Tableau, Power BI, and Looker
Section 2: Data Management
✔ Delta Lake for efficient data storage and table metadata management
✔ Managing managed and unmanaged tables
✔ Creating and securing databases, tables, and views
✔ Implementing data governance and handling PII data
Section 3: SQL in the Lakehouse
✔ Writing optimized SQL queries for structured data analysis
✔ Understanding JOINs, subqueries, MERGE INTO, and COPY INTO
✔ Aggregating data using roll-up, cube, and windowing functions
✔ Cleaning and optimizing silver-level data
✔ Leveraging query caching and performance tuning
Section 4: Data Visualization & Dashboarding
✔ Creating interactive visualizations and dashboards in Databricks SQL
✔ Formatting visual elements for better data storytelling
✔ Configuring query parameters and automated refresh schedules
✔ Setting up and troubleshooting dashboard alerts and notifications
Section 5: Analytics Applications
✔ Applying descriptive statistics and key analytical techniques
✔ Enhancing and blending data across multiple sources
✔ Performing last-mile ETL for analytics-driven insights
250 pages, Kindle Edition
Published February 14, 2025
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