Microsoft Fabric Analytics Engineer DP-600 Training - OEM Certkit

• Language: English
• Audience: The target audience for this course are individuals who want to learn the fundamentals of dataBasics concepts in a cloud environment, acquire basic skills in cloud data services and build their basic knowledge of cloud data services within Microsoft Azure.
• Required knowledge level: some basic knowledge of computing and Internet concepts
• Course duration: 17:11 (depending on personal speed)
• Online access: 24/7, 365 days after activation
• Award Winning E-learning
• Contact with instructor by email and chat ( Online Mentor)
• Complete training for the official Exam
• User-friendly environment
• Certificate of Participation included

Microsoft Fabric Analytics Engineer DP-600 training

The Microsoft Fabric Analytics Engineer DP-600 training is offered as part of a special certification package. This package provides one-year access to an advanced E-Learning environment, making it easier to pass the exam. You will receive training from certified instructors through a secure learning portal (LMS). The package also includes a 24/7 Online Mentor, challenging tests and the opportunity to view all tips & tricks.

In addition, the official mock exam is always guaranteed to be available, and you will receive a certificate of participation after the training. As an additional option, you can opt for Livelabs (at an additional cost).

Course content

Module 1: Entering data with Dataflows Gen2 in Microsoft Fabric

• Describe Dataflow Gen2 capabilities in Microsoft Fabric.
• Create Dataflow Gen2 solutions to ingest and transform data.
• Include a Dataflow Gen2 in a pipeline.

Lab: Create and use a Dataflow Gen2 in Microsoft Fabric

Module 2: Ingesting data with Spark and Microsoft Fabric notebooks

• Ingest external data into Fabric lakehouses with Spark.
• Configure external source authentication and optimisation.
• Load data into Lakehouse as files or Delta tables.

Lab: Ingest data with Spark and Microsoft Fabric notebooks

Module 3: Using Data Factory pipelines in Microsoft Fabric

• Describe the pipelining capabilities in Microsoft Fabric.
• Use the Copy Data activity in a pipeline.
• Create pipelines based on predefined templates.
• Run and monitor pipelines.

Lab: Reading data with a pipeline

Module 4: Getting started with lakehouses in Microsoft Fabric

• Describe the main functions and features of lakehouses in Microsoft Fabric.
• Creating a lakehouse.
• Enter data into files and tables in a lakehouse.
• Query lakehouse tables using SQL.

Lab: Create and ingest data with a Microsoft Fabric Lakehouse

Module 5: Organize a Fabric lakehouse using medallion architecture design

• Describe the principles of using the medallion architecture in data management.
• Apply the medallion architecture framework within the Microsoft Fabric environment.
• Analyze data stored in the lakehouse using DirectLake in Power BI.
• Describe best practices for ensuring the security and governance of data stored in the medallion architecture.

Lab: Organize your Fabric lakehouse using a medallion architecture

Module 6: Use Apache Spark in Microsoft Fabric

• Configure Spark in a Microsoft Fabric workspace.
• Identify suitable scenarios for Spark notebooks and Spark jobs.
• Use Spark data frames to analyze and transform data.
• Use Spark SQL to query data in tables and views.
• Visualize data in a Spark notebook.

Lab: Analyze data with Apache Spark

Module 7: Work with Delta Lake tables in Microsoft Fabric

• Understand Delta Lake and delta tables in Microsoft Fabric.
• Create and manage delta tables using Spark.
• Use Spark to query and transform data into delta tables.
• Use delta tables with Spark structured streaming.

Lab: Use delta tables in Apache Spark

Module 8: Get started with data warehouses in Microsoft Fabric

• Describe data warehouses in Fabric.
• Understand a data warehouse vs a data lakehouse.
• Work with data warehouses in Fabric.
• Create and manage datasets within a data warehouse.

Lab: Analyze data in a data warehouse

Module 9: Load data into a Microsoft Fabric data warehouse

• Learn different strategies to load data into a data warehouse in Microsoft Fabric.
• Learn how to build a data pipeline to load a warehouse in Microsoft Fabric.
• Learn how to load data into a warehouse using T-SQL.
• Learn how to load and transform data with dataflow Gen 2.

Lab: Load data into a warehouse in Microsoft Fabric

Module 10: Monitor a Microsoft Fabric data warehouse

• Monitor capacity unit usage with the Microsoft Fabric Capacity Metrics app.
• Monitor current activity in the data warehouse with dynamic management views.
• Monitor querying trends with query insights views.

Lab: Monitor a data warehouse in Microsoft Fabric

Module 11: Understand scalability in Power BI

• Describe the importance of building scalable data models.
• Implement Power BI data modeling best practices.
• Use the Power BI large dataset storage format.

Lab: Create a star schema model

Module 12: Create Power BI model relationships

• Understand how model relationship work.
• Set up relationships.
• Use DAX relationship functions.
• Understand relationship evaluation.

Lab: Work with model relationships

Module 13: Use tools to optimize Power BI performance

• Optimize queries using performance analyzer.
• Troubleshoot DAX performance using DAX Studio.
• Optimize a data model using Tabular Editor.

Lab: Use tools to optimize Power BI performance

Module 14: Enforce Power BI model security

• Restrict access to Power BI model data with RLS.
• Restrict access to Power BI model objects with OLS.
• Apply good development practices to enforce Power BI model security.

Lab: Enforce model security

Who should attend

This course is designed for individuals who want to learn the basics of data concepts in a cloud environment, gain practical skills in Microsoft Fabric's cloud data services, and build a strong foundation in data management and analytics capabilities provided by Microsoft Azure. The DP-600 training focuses on developing expertise in managing data storage, integration, and transformation within Microsoft Fabric, preparing you for success as an Analytics Engineer.

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Online Mentor

The online mentor can answer all your specific technical questions via chat or email regarding your studies.
Online Mentor is active for 90 days or 365 days - after activation!

Tips, Tricks & Links

Take advantage of our extensive collection of tips, tricks, and links specifically designed to support your preparation for certification exams. These resources provide valuable insights and proven strategies to make your studies more effective. Enhance your learning experience and approach your exams with confidence!