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 via Microsoft Fabric
- Overview of the Microsoft Fabric ecosystem
- Exploring the Lakehouse architectural model
- The end-to-end analytics workflow
Foundations of Lakehouses in Microsoft Fabric
- Key features and capabilities of the Lakehouse
- Procedures for creating and configuring a new Lakehouse
- Strategies for ingesting data into Lakehouse tables
Harnessing Apache Spark within Microsoft Fabric
- Setting up Apache Spark environments in Microsoft Fabric
- Utilizing Spark for efficient distributed data processing
- Data analysis and transformation techniques using Spark DataFrames
Managing Delta Lake Tables in Microsoft Fabric
- Fundamentals of Delta Lake and Delta tables
- Techniques for data management and version control with Delta tables
- Executing data transformations and complex queries
Data Ingestion Strategies with Dataflows Gen2 in Microsoft Fabric
- Exploring the advanced capabilities of Dataflows Gen2
- Designing effective dataflow solutions for ingestion tasks
- Seamlessly integrating dataflows into broader data pipelines
Orchestrating Workflows with Data Factory Pipelines in Microsoft Fabric
- Understanding the structure of Data Factory pipelines
- Constructing and coordinating robust data pipelines
- Automating data movement and transformation processes
Requirements
- Familiarity with fundamental data management principles.
- Practical experience working with SQL databases.
- A solid grasp of basic cloud computing concepts.
Target Audience
- Data Engineers
- Database Administrators
- Data Analysts
21 Hours
