Microsoft Fabric Analytics Engineer

Level

Intermediate

Duration

4 days

Competency

Data Analyst
Data Engineer

Product

Microsoft Fabric

Overview

This 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, visualisation, and sharing. Also, learners should have prior experience in building and deploying data analytics solutions at the enterprise level.

This course prepares you to take the Microsoft Fabric Analytics Engineer (DP-600) exam to achieve the Microsoft Certified: Fabric Analytics Engineer Associate certification.

Who is this course for?

The primary audience for this course is data professionals with experience in data modeling, extraction, and analytics. DP-600 is designed for professionals who want to use Microsoft Fabric to create and deploy enterprise-scale data analytics solutions.

Course Syllabus

Explore end-to-end analytics with Microsoft Fabric
Administer Microsoft Fabric
Get started with lakehouses in Microsoft Fabric
Use Apache Spark in Microsoft Fabric
Work with Delta Lake tables in Microsoft Fabric
Secure your Fabric lakehouse
Ingest data with Dataflows (Gen2) in Microsoft Fabric
Use Data Factory pipelines in Microsoft Fabric
Ingest data Spark and Microsoft Fabric notebooks
Organise a Fabric lakehouse using medallion architecture
Get started with data warehouses in Microsoft Fabric
Load data into a Microsoft Fabric data warehouse
Query a data warehouse in Microsoft Fabric
Monitor and optimise a Microsoft Fabric data warehouse
Secure a warehouse
Understand scalability in Power BI
Create Power BI model relationships
Use tools to optimise Power BI performance
Enforce Power BI model security

Other courses to consider

Azure Enterprise Data Analyst Associate

This course covers methods and practices for performing advanced data analytics at scale. Students will build on existing analytics experience and will learn to implement and manage a data analytics environment, query and transform data, implement and manage data models, and explore and visualise data. In this course, students will use Microsoft Purview, Azure Synapse Analytics, and Power BI to build analytics solutions.

Azure Data Engineer Associate

In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.

Power BI Data Analyst Associate

In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.

What Our Trainees Say

The trainer “going rogue”, adding more detail and real life examples brings the content to life, really helped things stick for me. Very knowledgeable in the subject, brought the material to life brilliantly. All the topics were explained in detail. It was really an excellent session.

Nigel Watkins

Senior Data Warehouse Consultant

The trainer’s sessions were really exceptional. He went through each and every topic in a very detailed manner. He gave insightful examples that made me relate with what I do in my current role. He was so encouraging and dedicated time to address my doubts and questions. Thanks you for such a wonderful session. I completed my certification with much ease because of the session.

Rachana Nair

Senior Data Engineer

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