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 Integrated Analytics Using Microsoft Fabric
- Overview of the Microsoft Fabric Ecosystem
- Comprehending Lakehouse Architectural Principles
- End-to-End Analytical Workflows
Foundational Practices for Deploying Lakehouses within Microsoft Fabric
- Key Functionalities and Operational Capabilities of Lakehouses
- Establishing and Configuring Lakehouse Instances
- Loading Data into Lakehouse Table Structures
Application of Apache Spark within the Microsoft Fabric Environment
- Setting up Apache Spark Configurations
- Utilizing Spark for Distributed Computational Tasks
- Executing Data Analysis and Transformation via Spark DataFrames
Operations with Delta Lake Tables in Microsoft Fabric
- Introduction to Delta Lake Technology and Table Standards
- Handling Data Versioning and Control Mechanisms with Delta Tables
- Executing Data Modifications and Query Operations
Data Acquisition Strategies via Dataflows Gen2 in Microsoft Fabric
- Functional Scope of Dataflows Gen2
- Developing Dataflow Solutions for Ingestion Requirements
- Incorporating Dataflows into Automated Data Pipelines
Implementation of Data Factory Pipelines in Microsoft Fabric
- Overview of Data Factory Pipeline Frameworks
- Constructing and Orchestrating Data Pipeline Sequences
- Automating Data Transfer and Transformation Processes
Concluding Summary and Recommended Subsequent Actions
Requirements
- Foundational knowledge of data management principles
- Practical experience with SQL database systems
- Basic understanding of cloud computing paradigms
Target Audience
- Data engineers
- Database administrators
- Data analysts
21 Hours
