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Duration 21 hours
Course Outline
Introduction to End-to-End Analysis with Microsoft Fabric
- High-level overview of Microsoft Fabric
- Exploring the Lakehouse architecture
- The workflow for end-to-end analytics
Getting Started with Lakehouses in Microsoft Fabric
- Key features and capabilities of Lakehouses
- Steps for creating and configuring a Lakehouse
- Methods for ingesting data into Lakehouse tables
Using Apache Spark in Microsoft Fabric
- Setting up Apache Spark within Microsoft Fabric
- Utilizing Spark for distributed data processing
- Data analysis and transformation using Spark DataFrames
Working with Delta Lake Tables in Microsoft Fabric
- Foundations of Delta Lake and Delta Tables
- Techniques for managing and versioning data with Delta Tables
- Executing data transformations and queries
Ingesting Data with Dataflows Gen2 in Microsoft Fabric
- Core capabilities of Dataflows Gen2
- Strategies for designing dataflow solutions for ingestion
- Integrating Dataflows into broader data pipelines
Using Data Factory Pipelines in Microsoft Fabric
- Fundamentals of Data Factory Pipelines
- Construction and orchestration of data pipelines
- Automation of data movement and transformation processes
Requirements
- A solid grasp of data management principles
- Practical experience with SQL databases
- Familiarity with fundamental cloud computing concepts
Target Audience
- Data engineers
- Database administrators
- Data analysts
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3900 € + VAT*
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