Implementing A Lakehouse With Microsoft Fabric DP601 Course - United States

Implementing a Lakehouse with Microsoft Fabric (DP-601) Course Outline

Module 1: Introduction to End-To-End Analytics Using Microsoft Fabric

• Introduction
• Explore End-to-End Analytics with Microsoft Fabric
• Explore Data Teams and Microsoft Fabric
• Enable and Use Microsoft Fabric

Module 2: Get Started with Lakehouses in Microsoft Fabric

• 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 3: Use Apache Spark in Microsoft Fabric

• Introduction
• Prepare to Use Apache Spark
• Run Spark Code
• Work with Data in a Spark Dataframe
• Work with Data using Spark SQL
• Visualise Data in a Spark Notebook
• Exercise - Analyse Data with Apache Spark

Module 4: Work with Delta Lake Tables in Microsoft Fabric

• 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 5: Ingest Data with Dataflows Gen2 in Microsoft Fabric

• 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 6: Orchestrate Processes and Data Movement with Microsoft Fabric

• Introduction
• Understand Pipelines
• Use the Copy Data activity
• Use Pipeline Templates
• Run and Monitor pipelines
• Exercise - Ingest Data with a Pipeline

Module 7: Organize a Fabric Lakehouse using Medallion Architecture Design

• 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

Who Should Attend this Implementing a Lakehouse with Microsoft Fabric (DP-601)?

This Implementing a Lakehouse with Microsoft Fabric (DP-601) course is tailored for professionals involved in data management, architecture, and analytics who are looking to leverage the advanced capabilities of Microsoft Fabric for building and managing scalable lake house architectures. This training will be beneficial for:

• Data Architects
• Data Engineers
• Business Intelligence Professionals
• Chief Technology Officers (CTO)
• Chief Data Officers (CDO)
• IT Managers
• Database Administrators
• Project Managers

Prerequisites of Implementing a Lakehouse with Microsoft Fabric (DP-601)?

Delegate should have a foundational understanding of data management and cloud services, particularly Microsoft Azure. Proficiency in SQL and experience with big data tools like Apache Spark are also recommended.

Implementing a Lakehouse with Microsoft Fabric (DP-601) Course Overview

Implementing a Lakehouse with Microsoft Fabric (DP-601) is an advanced training course designed to provide technical professionals with the expertise to build and manage lakehouse architectures using Microsoft Fabric. This course emphasises the strategic integration of various data management technologies like Apache Spark, Delta Lake, and Dataflows Gen2 to create a cohesive and scalable data platform. Organisations can expect enhanced data handling capabilities, improved analytics performance, and streamlined data operations, empowering them to leverage real-time insights and make informed decisions swiftly.

Delegate will gain hands-on experience in setting up lakehouses, utilising Microsoft Fabric’s advanced features to efficiently process and analyse large datasets. The training covers critical aspects from the initial setup of lakehouses to advanced data integration techniques. The course will be led by seasoned instructors with extensive experience in data architecture and Microsoft technologies, ensuring participants not only learn the theoretical underpinnings but also apply best practices in real-world scenarios.

Course Objectives

• To explore comprehensive analytics with Microsoft Fabric
• To create and manage Microsoft Fabric Lakehouses
• To implement Apache Spark within Microsoft Fabric
• To operate and optimise Delta Lake tables
• To integrate Dataflows Gen2 with pipeline solutions
• To configure and monitor Data Factory pipelines
• To apply medallion architecture in data management

After attending this training, delegates will be equipped with the knowledge and skills to set up and maintain a robust data infrastructure using Microsoft Fabric's lakehouse framework. They will be able to integrate various data management tools and techniques, such as Apache Spark for big data processing and Delta Lake for data versioning, ensuring high data quality and accessibility.

What’s included in this Implementing a Lakehouse with Microsoft Fabric DP601 Course?

• World-Class Training Sessions from Experienced Instructors
• Implementing a Lakehouse with Microsoft Fabric DP601 Course Certificate
• Digital Delegate Pack