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
- Brief overview of the Microsoft Fabric ecosystem
- Exploring the Lakehouse architecture
- Mappings of the end-to-end analytics workflow
Initiating Lakehouse Operations in Microsoft Fabric
- Key features and capabilities of Lakehouses
- Steps for creating and configuring a Lakehouse
- Processes for ingesting data into Lakehouse tables
Integrating Apache Spark within Microsoft Fabric
- Configuration settings for Apache Spark in Fabric
- Utilizing Spark for distributed data processing tasks
- Data analysis and transformation using Spark DataFrames
Managing Delta Lake Tables in Microsoft Fabric
- Foundations of Delta Lake and Delta Tables
- Strategies for data management and versioning with Delta Tables
- Execution of data transformations and complex queries
Data Ingestion Strategies with Dataflows Gen2
- Core functionalities of Dataflows Gen2
- Architecting dataflow solutions for efficient ingestion
- Merging Dataflows into broader data pipelines
Leveraging Data Factory Pipelines in Microsoft Fabric
- General overview of Data Factory pipelines
- Techniques for building and orchestrating pipeline logic
- Automation of data movement and transformation processes
Requirements
- A solid grasp of data management fundamentals
- Practical experience with SQL databases
- Foundational understanding of cloud computing principles
Target Audience
- Data engineers
- Database administrators
- Data analysts
21 Hours
