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Data Analysis with Databricks SQL

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    Describe the key services and capabilities of Databricks SQL
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    Configure and manage Databricks SQL Warehouses and Unity Catalog
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    Perform data ingestion and querying in Databricks SQL
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    Develop visualizations and interactive dashboards
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    Implement security best practices for data management
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    Apply Databricks SQL in production environments.

Overview

Off the shelf (OTS)

This course provides a comprehensive introduction to Databricks SQL, equipping learners with the skills to ingest data, write queries, produce visualizations, and configure alerts. Participants will gain hands-on experience with Databricks SQL capabilities, including data management, visualization, and dashboarding. The course also prepares learners for the Databricks Certified Data Analyst Associate exam.

Participants should have basic SQL experience, including the ability to write simple SELECT FROM WHERE queries.

This course is designed for:
• Data analysts who want to use Databricks SQL for querying and visualizing data.
• Business intelligence professionals looking to create dashboards and reports in Databricks.
• Data engineers who need to manage and optimize data ingestion and transformation in Databricks SQL.
• SQL developers aiming to expand their skills to include Databricks SQL and the Lakehouse architecture.
• Aspiring data professionals preparing for the Databricks Certified Data Analyst Associate exam.

This course includes:
• Live demonstrations of Databricks SQL setup, querying, and visualization.
• Guided lab exercises for data ingestion, transformation, and analysis.
• Practical dashboard creation tasks to reinforce learning.

This course does not include an exam.

 

Delivery method
Face to face icon

Face to face

Virtual icon

Virtual

Course duration
Duration icon

7 hours

Competency level
Working icon

Working

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Delivery method
  • face to face icon

    Face to face

  • Virtual icon

    Virtual

Course duration
Duration icon

7 hours

Competency level
  • Working icon

    Working

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