Training plan
Module 1: Explore Azure Databricks
- Get started with Azure Databricks
- Identify Azure Databricks workloads
- Understand key concepts
- Data governance using Unity Catalog and Microsoft Purview
- Exercise – Explore Azure Databricks
Module 2: Perform data analysis with Azure Databricks
- Ingest data with Azure Databricks
- Data exploration tools in Azure Databricks
- Data analysis using DataFrame APIs
- Exercise – Explore data with Azure Databricks
Module 3: Use Apache Spark in Azure Databricks
- Get to know Spark
- Create a Spark cluster
- Use Spark in notebooks
- Use Spark to work with data files
- Visualize data
- Exercise – Use Spark in Azure Databricks
Module 4: Manage data with Delta Lake
- Get started with Delta Lake
- Manage ACID transactions
- Implement schema enforcement
- Data versioning and time travel in Delta Lake
- Data integrity with Delta Lake
- Exercise – Use Delta Lake in Azure Databricks
Module 5: Build data pipelines with Delta Live Tables
- Explore Delta Live Tables
- Data ingestion and integration
- Real-time processing
- Exercise – Create a data pipeline with Delta Live Tables
Module 6: Deploy workloads with Azure Databricks Workflows
- What are Azure Databricks Workflows?
- Understand key components of Azure Databricks Workflows
- Explore the benefits of Azure Databricks Workflows
- Deploy workloads using Azure Databricks Workflows
- Exercise – Create an Azure Databricks Workflow
Recommended Prerequisite Knowledge
- Experience in Python or Scala programming
- In-depth knowledge of SQL and data processing
- Understanding of Big Data concepts and distributed analytics
- Familiarity with Azure Databricks and its ecosystem
- Experience with data processing frameworks
- Knowledge of data engineering principles
- Understanding of cloud data architectures
- Experience with ETL/ELT data pipelines
- Familiarity with performance and optimization concepts
- Basic knowledge of Azure services
Eccentrix Corner article/publication
Implementing a Data Analytics Solution with Azure Databricks (DP-3011)
The Implementing a Data Analytics Solution with Azure Databricks (DP-3011) training equips data engineers, IT professionals, and business intelligence analysts with the skills to design, implement, and manage data analytics workflows using Azure Databricks. This course focuses on the integration of data sources, preparation and transformation of data, and the development of scalable analytics pipelines in a collaborative environment.
Participants will gain hands-on experience in leveraging Azure Databricks to optimize data operations and drive actionable business insights.
Why Choose This Training?
Azure Databricks is a cutting-edge platform for data analytics and big data processing. With its integration into the Azure ecosystem, it enables seamless collaboration and scalability for modern data workloads. This training is ideal for professionals aiming to harness the power of Azure Databricks for efficient data management and analytics.
By completing this course, you will be equipped to handle complex data scenarios and deliver impactful analytics solutions for your organization.
Skills You Will Develop
Data Integration and Management
Learn to integrate diverse data sources and manage data workflows effectively.Data Preparation and Transformation
Master the techniques for cleaning, transforming, and organizing data for analysis.Building Scalable Analytics Pipelines
Design and implement pipelines to process large-scale data efficiently.Advanced Data Analytics
Use Azure Databricks’ analytics tools to uncover insights and create meaningful visualizations.Optimizing Performance
Enhance the performance of data workflows through Azure Databricks optimization features.Collaborative Data Engineering
Work in a collaborative environment to streamline processes and improve productivity.
A Hands-On, Expert-Led Training
Led by certified Azure instructors, this course combines theoretical learning with practical exercises. Participants will engage in real-world scenarios to gain experience in creating and optimizing data analytics solutions using Azure Databricks.
Who Should Attend?
- Data Engineers: Professionals designing and managing data workflows
- IT Professionals: Individuals responsible for data integration and analytics solutions
- Business Intelligence Analysts: Experts aiming to deliver actionable insights using Azure Databricks
- Data Architects: Specialists in scalable and efficient data pipeline design
Empower Your Analytics with Azure Databricks
The Implementing a Data Analytics Solution with Azure Databricks (DP-3011) training provides the tools and knowledge to design efficient and scalable analytics workflows. Enroll today to master Azure Databricks and deliver innovative data solutions that drive business success.
Frequently asked questions - Microsoft Azure Databricks training (FAQ)
What topics are covered in this course?
Data integration, preparation, pipeline development, and advanced analytics with Azure Databricks.
Are there prerequisites for this training?
Familiarity with cloud services and basic data engineering concepts is recommended.
What tools are used during the training?
Participants will use Azure Databricks and other related Azure data services.
Does this course include hands-on exercises?
Yes, the training features practical exercises to reinforce learning and application.
How does this course benefit my career?
It enhances your expertise in data analytics and equips you to handle complex data workflows in cloud environments.
Are the concepts applicable beyond Azure Databricks?
While focused on Azure Databricks, many principles can be adapted to other data analytics platforms.
