- Price: 680€ 612€ + FREE Microsoft Exam
- Level: Advanced
- Venue: Online
- Number of classes: 40
- Date: 20.05.2024
Irena Ivanovska
Head of Microsoft Official Training DepartmentThis course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Students will build on existing analytics experience and will learn how to use Microsoft Fabric components, including lakehouses, data warehouses, notebooks, dataflows, data pipelines, and semantic models, to create and deploy analytics assets. This course is best suited for those who have the PL-300 certification or similar expertise in using Power BI for data transformation, modeling, visualization, and sharing. Also, learners should have prior experience in building and deploying data analytics solutions at the enterprise level.
- Introduction to end-to-end analytics using Microsoft Fabric
- Administer Microsoft Fabric
- Ingest Data with Dataflows Gen2 in Microsoft Fabric
- Ingest data with Spark and Microsoft Fabric notebooks
- Use Data Factory pipelines in Microsoft Fabric
- Get started with lakehouses in Microsoft Fabric
- Organize a Fabric lakehouse using medallion architecture design
- Use Apache Spark in Microsoft Fabric
- Work with Delta Lake tables in Microsoft Fabric
- Get started with data warehouses in Microsoft Fabric
- Load data into a Microsoft Fabric data warehouse
- Query a data warehouse in Microsoft Fabric
- Monitor a Microsoft Fabric data warehouse
- Understand scalability in Power BI
- Create Power BI model relationships
- Use tools to optimize Power BI performance
- Enforce Power BI model security
With this course you are going to be able to:
- Transform data into reusable analytics assets by using Microsoft Fabric components
- Implement analytics best practices in Fabric, including version control and deployment
- Implement solutions as a Fabric analytics engineer
As a Fabric analytics engineer associate, you should have subject matter expertise in designing, creating, and deploying enterprise-scale data analytics solutions.
- Payment in cash with payment slip or debit cards
- Payment in installments with credit cards
- Payment in installments without interest with credit cards of Stopanska Banka
- Payment by invoice
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