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Duration 21 hours
Course Outline
Introduction to End-to-End Analytics with Microsoft Fabric
- Brief overview of Microsoft Fabric
- Exploring the Lakehouse architecture
- The end-to-end analytics workflow
Initialising with Lakehouses in Microsoft Fabric
- Key features and capabilities of the Lakehouse
- Steps to create and configure a Lakehouse
- Methods for ingesting data into Lakehouse tables
Applying Apache Spark within Microsoft Fabric
- Setting up Apache Spark in Microsoft Fabric
- Harnessing Spark for distributed data processing
- Data analysis and transformation using Spark DataFrames
Managing Delta Lake Tables in Microsoft Fabric
- An introduction to Delta Lake and Delta tables
- Handling data versioning and management with Delta tables
- Executing data transformations and queries
Data Ingestion using Dataflows Gen2 in Microsoft Fabric
- Core capabilities of Dataflows Gen2
- Designing effective dataflow strategies for ingestion
- Integrating Dataflows into broader data pipelines
Utilising Data Factory Pipelines in Microsoft Fabric
- An overview of Data Factory pipelines
- Constructing and orchestrating data workflows
- Automation of data movement and transformation processes
Requirements
- A solid grasp of core 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.
- Customised 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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