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Duration 21 hours
Course Outline
Foundations of End-to-End Analysis with Microsoft Fabric
- Introduction to Microsoft Fabric
- Exploring the Lakehouse Architecture
- The End-to-End Analytics Process
Initiating Lakehouse Workloads in Microsoft Fabric
- Key Features and Capabilities of Lakehouses
- Establishing and Configuring a Lakehouse
- Loading Data into Lakehouse Tables
Harnessing Apache Spark within Microsoft Fabric
- Setting up Apache Spark in Microsoft Fabric
- Exploiting Spark for Distributed Data Processing
- Data Analysis and Transformation via Spark DataFrames
Managing Delta Lake Tables in Microsoft Fabric
- Overview of Delta Lake and Delta Tables
- Data Versioning and Management with Delta Tables
- Executing Data Transformations and Queries
Data Ingestion via Dataflows Gen2 in Microsoft Fabric
- Features of Dataflows Gen2
- Designing Dataflow Strategies for Ingestion
- Integrating Dataflows into Broader Pipelines
Building Pipelines with Data Factory in Microsoft Fabric
- Introduction to Data Factory Pipelines
- Constructing and Orchestrating Data Workflows
- Automating Data Movement and Transformation
Requirements
- Familiarity with fundamental data management concepts
- Practical experience with SQL databases
- Foundational understanding of cloud computing principles
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 4800 € + VAT*
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