What do you think?
Rate this book
Databricks Certified Data Analyst Associate: Preparation
Databricks Certified Data Analyst Associate Preparation
🔹 Master Databricks SQL and Pass the Certification Exam with Confidence!
The Databricks Certified Data Analyst Associate certification proves your ability to analyze data using Databricks SQL and the Lakehouse Platform. This study guide covers all exam topics, providing structured explanations, real-world examples, and practice questions to ensure your success.
🔍 What You’ll Learn in This
✅ Complete Exam Coverage – Covers all key topics with in-depth explanations.
✅ Practice Questions – Reinforce knowledge with exam-style questions.
✅ Real-World Use Cases – Learn how to apply Databricks SQL in practice.
✅ Expert Tips – Avoid common pitfalls and optimize exam performance.
📌 Exam Topics
1. Databricks SQL Essentials
• Overview of Databricks Key users and benefits
• Writing and running SQL queries in Databricks
• Using dashboards to visualize multiple queries
• Setting up refresh schedules for real-time insights
• Connecting Databricks SQL to BI tools like Tableau, Power BI, and Looker
• Understanding the Medallion architecture (Bronze, Silver, Gold layers)
• Mixing batch and streaming workloads
2. Data Management in Databricks
• Delta Managing data files and table metadata
• Creating and managing databases, tables, and views
• Comparing managed vs. unmanaged tables
• Understanding table persistence and ownership
• Securing data with Data Explorer
3. SQL Querying in the Lakehouse
• Writing SQL queries with conditions and aggregations
• Optimizing queries with JOINs, CTEs, and subqueries
• Using window functions for time-based analysis
• Understanding MERGE INTO, INSERT INTO, and COPY INTO
• Performance tuning and caching for efficiency
4. Data Visualization and Dashboarding
• Creating Tables, charts, and pivot reports
• Formatting dashboards for better data storytelling
• Setting up query parameters for dynamic dashboards
• Sharing dashboards and configuring refresh rates
• Setting alerts and notifications for data updates
5. Analytics Applications in Databricks
• Key statistical concepts for data analysis
• Enhancing and blending datasets for insights
• Performing last-mile ETL for project-specific needs
🔥 Who Should Read This Book?
• Data Analysts preparing for the certification
• BI Professionals looking to expand Databricks skills
• Data Scientists & Engineers optimizing SQL queries
&bull
🔹 Master Databricks SQL and Pass the Certification Exam with Confidence!
The Databricks Certified Data Analyst Associate certification proves your ability to analyze data using Databricks SQL and the Lakehouse Platform. This study guide covers all exam topics, providing structured explanations, real-world examples, and practice questions to ensure your success.
🔍 What You’ll Learn in This
✅ Complete Exam Coverage – Covers all key topics with in-depth explanations.
✅ Practice Questions – Reinforce knowledge with exam-style questions.
✅ Real-World Use Cases – Learn how to apply Databricks SQL in practice.
✅ Expert Tips – Avoid common pitfalls and optimize exam performance.
📌 Exam Topics
1. Databricks SQL Essentials
• Overview of Databricks Key users and benefits
• Writing and running SQL queries in Databricks
• Using dashboards to visualize multiple queries
• Setting up refresh schedules for real-time insights
• Connecting Databricks SQL to BI tools like Tableau, Power BI, and Looker
• Understanding the Medallion architecture (Bronze, Silver, Gold layers)
• Mixing batch and streaming workloads
2. Data Management in Databricks
• Delta Managing data files and table metadata
• Creating and managing databases, tables, and views
• Comparing managed vs. unmanaged tables
• Understanding table persistence and ownership
• Securing data with Data Explorer
3. SQL Querying in the Lakehouse
• Writing SQL queries with conditions and aggregations
• Optimizing queries with JOINs, CTEs, and subqueries
• Using window functions for time-based analysis
• Understanding MERGE INTO, INSERT INTO, and COPY INTO
• Performance tuning and caching for efficiency
4. Data Visualization and Dashboarding
• Creating Tables, charts, and pivot reports
• Formatting dashboards for better data storytelling
• Setting up query parameters for dynamic dashboards
• Sharing dashboards and configuring refresh rates
• Setting alerts and notifications for data updates
5. Analytics Applications in Databricks
• Key statistical concepts for data analysis
• Enhancing and blending datasets for insights
• Performing last-mile ETL for project-specific needs
🔥 Who Should Read This Book?
• Data Analysts preparing for the certification
• BI Professionals looking to expand Databricks skills
• Data Scientists & Engineers optimizing SQL queries
&bull
198 pages, Paperback
Published February 13, 2025
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
No one has reviewed this book yet.