Azure Databricks Training Overview
This live, hands-on, official Microsoft course DP-3011, Data Analytics with Azure Databricks training, teaches attendees how to leverage Apache Spark and powerful clusters on the Azure Databricks platform to run large data engineering workloads in the cloud.
Location and Pricing
Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.
In addition, some courses are available as live, instructor-led training from one of our partners.
Objectives
- Explore the core features and capabilities of Azure Databricks, including its architecture, workloads, and key concepts
- Perform data analysis tasks using Azure Databricks, including data ingestion, exploration, and visualization
- Utilize Apache Spark within Azure Databricks to process and analyze large datasets efficiently
- Implement Delta Lake for robust data management, ensuring data integrity, consistency, and versioning capabilities
- Construct data pipelines using Delta Live Tables for real-time, scalable, and reliable data processing
- Orchestrate and automate complex data workflows using Azure Databricks Workflows
- Leverage SQL Warehouses in Azure Databricks to perform SQL-based data analysis and reporting
Prerequisites
- Azure fundamentals (AZ-900, or equivalent knowledge).
- Basic knowledge of Python and data visualization using matplotlib/seaborn.
Outline
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Explore Azure Databricks
- Introduction to Azure Databricks and its key features
- Understanding workloads and core concepts
- Data governance using Unity Catalog and Microsoft Purview
Perform data analysis with Azure Databricks
- Data ingestion methods and integration
- Exploratory Data Analysis (EDA) using collaborative notebooks
- Data analysis with DataFrame APIs
Use Apache Spark in Azure Databricks
- Introduction to Apache Spark
- Creating and managing Spark clusters
- Using Spark in notebooks for data transformation, analysis, and visualization
Manage data with Delta Lake
- Introduction to Delta Lake and its benefits
- ACID transactions, schema enforcement, and time travel
- Ensuring data integrity and versioning
Build data pipelines with Delta Live Tables
- Exploring Delta Live Tables for real-time data processing
- Data ingestion, integration, and real-time processing
Deploy workloads with Azure Databricks Workflows
- Understanding Azure Databricks Workflows and its components
- Benefits of using Workflows for deployment
- Deploying workloads using Workflows
Use SQL Warehouses in Azure Databricks
- Introduction to SQL Warehouses
- Creating databases, tables, queries, and dashboards
Run Azure Databricks Notebooks with Azure Data Factory
- Understanding notebooks and pipelines
- Creating linked services and using Notebook activities
Training Materials
Attendees will not need to install any software on their computers for this class. The class will be conducted in a remote environment that Accelebrate will provide; students will only need a local computer with a web browser and a stable Internet connection. Any recent version of Microsoft Edge, Mozilla Firefox, or Google Chrome will work well.
Software Requirements
All Microsoft Azure Databricks training students receive Microsoft official courseware.
For all Microsoft Official Courses taught in their entirety that have a corresponding certification exam, an exam voucher is included for each participant.
