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Databricks Certified Data Analyst Associate Exam Prep
Prepare for the Databricks Data Analyst Associate Exam with Hands On SQL, Data Management, and Data Visualization Skills
What you'll learn
Learn all the topics required for the Databricks Data Analyst Associate Exam
Create interactive dashboards using Databricks SQL with multiple visualizations and query-based parameters.
Manage and query Delta Lake tables, ensuring data consistency and maintaining historical data for time travel.
Integrate Databricks SQL with BI tools like Power BI and Tableau for seamless data analysis and reporting.
Apply data blending and enhancement techniques to combine and improve data from multiple sources for better insights.
Write and execute complex SQL queries in Databricks SQL to process and manage data in a Lakehouse architecture.
Requirements
No experience is required. This course is designed for beginners. A basic understanding of SQL and data analysis concepts is helpful but not mandatory.
Description
This course is designed to prepare students for success in the Databricks SQL Certification exam and beyond, by providing hands-on training in querying, managing, and visualizing data on the Databricks Lakehouse Platform. Whether you're a data analyst, business intelligence professional, data engineer, or an aspiring analyst or practitioner in cloud data platforms, this course will help you get practice with Databricks SQL and prepare for the Databricks Certified Data Analyst Associate exam.What You Will Learn:Section 1: Databricks SQL EssentialsUnderstand the diverse user base and stakeholder roles in Databricks SQL.Learn to write basic queries and build dashboards that deliver insights.Learn how to connect Databricks SQL to tools like Tableau, Power BI, and ingestion platforms like Fivetran.Explore SQL endpoints and warehouses, including cost-performance trade-offs and serverless options.Understand the Medallion Architecture and its role in batch and streaming data workflows.Section 2: Data Management with Delta LakeManage tables, views, and metadata with Delta Lake.Understand managed vs. unmanaged tables and the implications of data persistence.Work with Data Explorer to preview, secure, and modify data access.Learn best practices for handling PII data in organizational settings.Section 3: SQL in the LakehousePractice advanced SQL operations: joins, merges, window functions, cubes, roll-ups, and subqueries.Optimize query performance with caching, query history, and user-defined functions (UDFs).Utilize query history and caching to reduce development time and query latency.Section 4: Data Visualization and DashboardingCreate visualizations directly within Databricks SQL.Build interactive dashboards using query parameters and scheduling.Learn techniques to improve storytelling through visuals and dashboard sharing best practices.Configure alerts and notifications based on data conditions.Section 5: Applied Analytics ApplicationsApply statistical analysis using descriptive and inferential statistics.Perform data blending and enhancement for actionable business insights.Understand "last-mile" ETL techniques tailored to project-specific needs.Who Should Take This Course:Ideal for beginners or data professionals, business analysts, and technical stakeholders looking to strengthen their skills in Databricks SQL and prepare for the certification exam. No prior Databricks or SQL experience is required.By the end of the course, you'll be able to:- Confidently navigate the Databricks SQL environment- Query, manage, and visualize Lakehouse data- Apply statistical concepts in real-world analytics scenarios- Prepare thoroughly for the Databricks SQL certification exam
Who this course is for
Anyone preparing to take the Databricks Data Analyst Associate Exam
Aspiring data analysts and anyone interested in learning how to use Databricks SQL for data management, analysis, and visualization
Homepage:
Download link
rapidgator.net:
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Published 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 24m | Size: 2.9 GB
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 24m | Size: 2.9 GB
Prepare for the Databricks Data Analyst Associate Exam with Hands On SQL, Data Management, and Data Visualization Skills
What you'll learn
Learn all the topics required for the Databricks Data Analyst Associate Exam
Create interactive dashboards using Databricks SQL with multiple visualizations and query-based parameters.
Manage and query Delta Lake tables, ensuring data consistency and maintaining historical data for time travel.
Integrate Databricks SQL with BI tools like Power BI and Tableau for seamless data analysis and reporting.
Apply data blending and enhancement techniques to combine and improve data from multiple sources for better insights.
Write and execute complex SQL queries in Databricks SQL to process and manage data in a Lakehouse architecture.
Requirements
No experience is required. This course is designed for beginners. A basic understanding of SQL and data analysis concepts is helpful but not mandatory.
Description
This course is designed to prepare students for success in the Databricks SQL Certification exam and beyond, by providing hands-on training in querying, managing, and visualizing data on the Databricks Lakehouse Platform. Whether you're a data analyst, business intelligence professional, data engineer, or an aspiring analyst or practitioner in cloud data platforms, this course will help you get practice with Databricks SQL and prepare for the Databricks Certified Data Analyst Associate exam.What You Will Learn:Section 1: Databricks SQL EssentialsUnderstand the diverse user base and stakeholder roles in Databricks SQL.Learn to write basic queries and build dashboards that deliver insights.Learn how to connect Databricks SQL to tools like Tableau, Power BI, and ingestion platforms like Fivetran.Explore SQL endpoints and warehouses, including cost-performance trade-offs and serverless options.Understand the Medallion Architecture and its role in batch and streaming data workflows.Section 2: Data Management with Delta LakeManage tables, views, and metadata with Delta Lake.Understand managed vs. unmanaged tables and the implications of data persistence.Work with Data Explorer to preview, secure, and modify data access.Learn best practices for handling PII data in organizational settings.Section 3: SQL in the LakehousePractice advanced SQL operations: joins, merges, window functions, cubes, roll-ups, and subqueries.Optimize query performance with caching, query history, and user-defined functions (UDFs).Utilize query history and caching to reduce development time and query latency.Section 4: Data Visualization and DashboardingCreate visualizations directly within Databricks SQL.Build interactive dashboards using query parameters and scheduling.Learn techniques to improve storytelling through visuals and dashboard sharing best practices.Configure alerts and notifications based on data conditions.Section 5: Applied Analytics ApplicationsApply statistical analysis using descriptive and inferential statistics.Perform data blending and enhancement for actionable business insights.Understand "last-mile" ETL techniques tailored to project-specific needs.Who Should Take This Course:Ideal for beginners or data professionals, business analysts, and technical stakeholders looking to strengthen their skills in Databricks SQL and prepare for the certification exam. No prior Databricks or SQL experience is required.By the end of the course, you'll be able to:- Confidently navigate the Databricks SQL environment- Query, manage, and visualize Lakehouse data- Apply statistical concepts in real-world analytics scenarios- Prepare thoroughly for the Databricks SQL certification exam
Who this course is for
Anyone preparing to take the Databricks Data Analyst Associate Exam
Aspiring data analysts and anyone interested in learning how to use Databricks SQL for data management, analysis, and visualization
Homepage:
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rapidgator.net:
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nitroflare.com:
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