Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to End-to-End Analytics with Microsoft Fabric
- Overview of the Microsoft Fabric platform
- Exploring Lakehouse architecture
- The end-to-end analytics workflow
Getting Started with Lakehouses in Microsoft Fabric
- Key features and capabilities of Lakehouses
- Creating and configuring a new Lakehouse
- Populating Lakehouse tables with data
Leveraging Apache Spark in Microsoft Fabric
- Setting up Apache Spark within Microsoft Fabric
- Utilising Spark for distributed data processing
- Analysis and transformation using Spark DataFrames
Managing Delta Lake Tables in Microsoft Fabric
- Foundations of Delta Lake and Delta tables
- Data versioning and management via Delta tables
- Executing transformations and running queries
Data Ingestion using Dataflows Gen2 in Microsoft Fabric
- Understanding the capabilities of Dataflows Gen2
- Designing ingestion strategies using Dataflows
- Embedding Dataflows into broader data pipelines
Orchestrating Pipelines with Data Factory in Microsoft Fabric
- Introduction to Data Factory pipelines
- Constructing and orchestrating workflow pipelines
- Automation of data movement and transformation tasks
Requirements
- A solid grasp of core data management principles
- Practical experience working with SQL databases
- Familiarity with fundamental cloud computing concepts
Target Audience
- Data engineers
- Database administrators
- Data analysts
21 Hours
