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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.
Investment

Price per private group, online live training, starting from 3900 € + VAT*

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