DP-700T00: Microsoft Fabric Data Engineer

Course Information

Course Name

DP-700T00: Microsoft Fabric Data Engineer

Exam code

DP-700

Duration

4 Days

Certification

Microsoft Certified: Fabric Data Engineer Associate

Overview

This course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes. Objectives for this course include ingesting and transforming data and securing, managing, and monitoring data engineering solutions. This course is designed for experienced data professionals skilled at data integration and orchestration, such as those with the DP-203: Azure Data Engineer certification.

Audience Profile

This audience for this course is data professionals with experience in data extraction, transformation, and loading. DP-700 is designed for professionals who need to create and deploy data engineering solutions using Microsoft Fabric for enterprise-scale data analytics. Learners should also have experience at manipulating and transforming data with one of the following programming languages: Structured Query Language (SQL), PySpark, or Kusto Query Language (KQL).

Prerequisities

At Course Completion

Course Outline

Module 1: Ingest Data with Dataflows Gen2 in Microsoft Fabric

Data ingestion is crucial in analytics. Microsoft Fabric’s Data Factory offers Dataflows for visually creating multi-step data ingestion and transformation using Power Query Online.

• Introduction

• Understand Dataflows Gen2 in Microsoft Fabric

• Explore Dataflows Gen2 in Microsoft Fabric

• Integrate Dataflows Gen2 and Pipelines in Microsoft Fabric

• Exercise – Create and use a Dataflow Gen2 in Microsoft Fabric

Module 2: Orchestrate processes and data movement with Microsoft Fabric

Microsoft Fabric includes Data Factory capabilities, including the ability to create pipelines that orchestrate data ingestion and transformation tasks.

• Introduction

• Understand pipelines

• Use the Copy Data activity

• Use pipeline templates

• Run and monitor pipelines

• Exercise – Ingest data with a pipeline

Module 3: Use Apache Spark in Microsoft Fabric

Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyze and process data in a Lakehouse at scale.

• Introduction

• Prepare to use Apache Spark

• Run Spark code

• Work with data in a Spark dataframe

• Work with data using Spark SQL

• Visualize data in a Spark notebook

• Exercise – Analyze data with Apache Spark

• Module assessment

 Module 4: Work with real-time data in a Microsoft Fabric eventhouse

An eventhouse in Microsoft Fabric provides a scalable and flexible store for real-time data.

• Introduction

• Get started with an eventhouse

• Use KQL effectively

• Materialized views and stored functions

• Exercise – Work with data in a Microsoft Fabric eventhouse

 Module 5: Introduction to end-to-end analytics using Microsoft Fabric

Discover how Microsoft Fabric can meet your enterprise’s analytics needs in one platform. Learn about Microsoft Fabric, how it works, and identify how you can use it for your analytics needs.

• Introduction

• Explore end-to-end analytics with Microsoft Fabric

• Data teams and Microsoft Fabric

• Enable and use Microsoft Fabric

Module 6: Get started with lakehouses in Microsoft Fabric

Lakehouses merge data lake storage flexibility with data warehouse analytics. Microsoft Fabric offers a lakehouse solution for comprehensive analytics on a single SaaS platform.

• Introduction

• Explore the Microsoft Fabric lakehouse

• Work with Microsoft Fabric lakehouses

• Explore and transform data in a lakehouse

• Exercise – Create a Microsoft Fabric lakehouse

 Module 7: Use Apache Spark in Microsoft Fabric

Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyze and process data in a Lakehouse at scale.

• Introduction

• Prepare to use Apache Spark

• Run Spark code

• Work with data in a Spark dataframe

• Work with data using Spark SQL

• Visualize data in a Spark notebook

• Exercise – Analyze data with Apache Spark

Module 8: Work with Delta Lake tables in Microsoft Fabric

Tables in a Microsoft Fabric lakehouse are based on the Delta Lake storage format commonly used in Apache Spark. By using the enhanced capabilities of delta tables, you can create advanced analytics solutions.

• Introduction

• Understand Delta Lake

• Create delta tables

• Optimize delta tables

• Work with delta tables in Spark

• Use delta tables with streaming data

• Exercise – Use delta tables in Apache Spark

 Module 9: Ingest Data with Dataflows Gen2 in Microsoft Fabric

Data ingestion is crucial in analytics. Microsoft Fabric’s Data Factory offers Dataflows for visually creating multi-step data ingestion and transformation using Power Query Online.

• Introduction

• Understand Dataflows Gen2 in Microsoft Fabric

• Explore Dataflows Gen2 in Microsoft Fabric

• Integrate Dataflows Gen2 and Pipelines in Microsoft Fabric

• Exercise – Create and use a Dataflow Gen2 in Microsoft Fabric

Module 10: Orchestrate processes and data movement with Microsoft Fabric

Microsoft Fabric includes Data Factory capabilities, including the ability to create pipelines that orchestrate data ingestion and transformation tasks.

• Introduction

• Understand pipelines

• Use the Copy Data activity

• Use pipeline templates

• Run and monitor pipelines

• Exercise – Ingest data with a pipeline

Module 11: Organize a Fabric lakehouse using medallion architecture design

Explore the potential of the medallion architecture design in Microsoft Fabric. Organize and transform your data across Bronze, Silver, and Gold layers of a lakehouse for optimized analytics.

• Introduction

• Describe medallion architecture

• Implement a medallion architecture in Fabric

• Query and report on data in your Fabric lakehouse

• Considerations for managing your lakehouse

• Exercise – Organize your Fabric lakehouse using a medallion architecture

Module 12: Get started with Real-Time Intelligence in Microsoft Fabric

Implement Real-Time Intelligence with Microsoft Fabric

Real-time intelligence in Microsoft Fabric enables analysis of streaming events in real or near-real time.

Module 12: Get started with Real-Time Intelligence in Microsoft Fabric

Analysis of real-time data streams is a critical capability for any modern data analytics solution. You can use the Real-Time Intelligence capabilities of Microsoft Fabric to ingest, query, and process streams of data.

• Introduction

• What is real-time data analytics?

• Real-Time Intelligence in Microsoft Fabric

• Ingest and transform real-time data

• Store and query real-time data

• Visualize real-time data

• Automate actions

• Exercise – Explore Real-Time Intelligence in Fabric

Module 13: Use real-time eventstreams in Microsoft Fabric

Microsoft Fabric Eventstreams within Real-Time Intelligence (RTI) enable you to ingest and transform real-time data.

• Introduction

• Components of eventstreams

• Eventstream sources and destinations

• Eventstream transformations

• Exercise – Ingest real-time data with Eventstream in Microsoft Fabric

 Module 14: Work with real-time data in a Microsoft Fabric eventhouse

An eventhouse in Microsoft Fabric provides a scalable and flexible store for real-time data.

• Introduction

• Get started with an eventhouse

• Use KQL effectively

• Materialized views and stored functions

• Exercise – Work with data in a Microsoft Fabric eventhouse

 Module 15: Create Real-Time Dashboards with Microsoft Fabric

Real-time Dashboard is a Real-Time Intelligence capability in Microsoft Fabric that you can use to create real-time data visualizations.

• Introduction

• Get started with real-time dashboards

• Advanced features

• Real-Time Dashboard best practices

• Exercise – Get started with real-time dashboards

 Module 16: Use Activator in Microsoft Fabric

Fabric Activator is an event detection engine that automatically triggers actions when specific patterns or conditions are detected in data sources.

• Introduction

• Configure Activator for your data

• Create rules in Activator

• Configure actions in Activator

• Exercise – Use Activator in Fabric

• Module assessment

Module 17: Introduction to end-to-end analytics using Microsoft Fabric

Implement a data warehouse with Microsoft Fabric

Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in Microsoft Fabric.

Module 17: Introduction to end-to-end analytics using Microsoft Fabric

Discover how Microsoft Fabric can meet your enterprise’s analytics needs in one platform. Learn about Microsoft Fabric, how it works, and identify how you can use it for your analytics needs.

• Introduction

• Explore end-to-end analytics with Microsoft Fabric

• Data teams and Microsoft Fabric

• Enable and use Microsoft Fabric

 Module 18: Get started with data warehouses in Microsoft Fabric

• Introduction

• Understand data warehouse fundamentals

• Understand data warehouses in Fabric

• Query and transform data

• Prepare data for analysis and reporting

• Secure and monitor your data warehouse

• Exercise – Analyze data in a data warehouse

 Module 19: Load data into a Microsoft Fabric data warehouse

Data warehouse in Microsoft Fabric is a comprehensive platform for data and analytics, featuring advanced query processing and full transactional T-SQL capabilities for easy data management and analysis.

• Introduction

• Explore data load strategies

• Use data pipelines to load a warehouse

• Load data using T-SQL

• Load and transform data with Dataflow Gen2

• Exercise: Load data into a warehouse in Microsoft Fabric

• Module assessment

 Module 20: Query a data warehouse in Microsoft Fabric

Data warehouse in Microsoft Fabric is a comprehensive platform for data and analytics, featuring advanced query processing and full transactional T-SQL capabilities for easy data management and analysis.

• Introduction

• Query data

• Use the SQL query editor

• Explore the visual query editor

• Use client tools to query a warehouse

• Exercise: Query a data warehouse in Microsoft Fabric

 Module 21: Monitor a Microsoft Fabric data warehouse

A data warehouse is a vital component of an enterprise analytics solution. It’s important to learn how to monitor a data warehouse so you can better understand the activity that occurs in it.

Introduction

• Monitor capacity metrics

• Monitor current activity

• Monitor queries

• Exercise – Monitor a data warehouse in Microsoft Fabric

Module 22: Secure a Microsoft Fabric data warehouse

Data warehouse in Microsoft Fabric is a comprehensive platform for data and analytics, featuring advanced query processing and full transactional T-SQL capabilities for easy data management and analysis.

• Introduction

• Explore dynamic data masking

• Implement row-level security

• Implement column-level security

• Configure SQL granular permissions using T-SQL

• Exercise: Secure a warehouse in Microsoft Fabric

Module 23: Implement continuous integration and continuous delivery (CI/CD) in Microsoft Fabric

Manage a Microsoft Fabric environment

Microsoft Fabric is a Software-as-a-Service platform for data analytics. Learn how to manage your environment through Continuous Integration/Continuous Deployment (CI/CD), monitoring, and security.

Module 23: Implement continuous integration and continuous delivery (CI/CD) in Microsoft Fabric

Microsoft Fabric implements CI/CD using Git integration and deployment pipelines. These tools help you collaborate with your development team and provide you with an efficient process for delivering and updating content.

• Introduction

• Understand Continuous Integration and Continuous Delivery (CI/CD)

• Implement version control and Git integration

• Implement deployment pipelines

• Automate CI/CD using Fabric APIs

• Exercise: Implement deployment pipelines in Microsoft Fabric

 Module 24: Monitor activities in Microsoft Fabric

Monitoring helps you gain visibility into the health of your data systems. Monitoring Hub in Microsoft Fabric collects and aggregates data from Fabric activities. Microsoft Fabric Activator helps you take actions when patterns or conditions are detected in streaming data.

• Introduction

• Understand monitoring

• Use Microsoft Fabric Monitor Hub

• Take action with Microsoft Fabric Activator

• Exercise – Monitor Fabric activity in the Monitor hub

Module 25: Secure data access in Microsoft Fabric

Microsoft Fabric uses a multi-layer security model with access controls at different levels.

• Introduction

• Understand the Fabric security model

• Configure workspace and item permissions

• Apply granular permissions

• Exercise: Secure data access in Microsoft Fabric

 Module 26: Administer a Microsoft Fabric environment

Microsoft Fabric is a SaaS solution for end-to-end data analytics. As an administrator, you can configure features and manage access to suit your organization’s needs.

• Introduction

• Understand the Fabric Architecture

• Understand the Fabric administrator role

• Manage Fabric security

• Govern data in Fabric

 Module 27: Use Activator in Microsoft Fabric

Fabric Activator is an event detection engine that automatically triggers actions when specific patterns or conditions are detected in data sources.

• Introduction

• Configure Activator for your data

• Create rules in Activator

• Configure actions in Activator

• Exercise – Use Activator in Fabric

• Module assessment

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