Implement Data Engineering Solutions Using Microsoft Fabric DP700 Training Course in Helsinki

Implement data engineering solutions using Microsoft Fabric DP700 Training Course Outline

Module 1: Ingest Data with Dataflows Gen2 in Microsoft Fabric

• 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

• 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

• 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 - Analyze Data with Apache Spark

Module 4: Get Started with Real-Time Intelligence in Microsoft Fabric

• 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 5: Use Real-Time Eventstreams in Microsoft Fabric

• Components of Eventstreams
• Eventstream Sources and Destinations
• Eventstream Transformations
• Exercise - Ingest Real-Time Data with Eventstream in Microsoft Fabric

Module 6: Work with Real-Time Data in a Microsoft Fabric Eventhouse

• Get Started with an Eventhouse
• Use KQL Effectively
• Materialized Views and Stored Functions
• Exercise - Work with Data in a Microsoft Fabric Eventhouse

Module 7: Introduction to End-To-End Analytics Using Microsoft Fabric

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

Module 8: Get Started with Lakehouses in Microsoft Fabric

• Explore the Microsoft Fabric Lakehouse
• Work with Microsoft Fabric Lakehouses
• Explore and Transform Data in a Lakehouse
• Exercise - Create a Microsoft Fabric Lakehouse

Module 9: Work with Delta Lake Tables in Microsoft Fabric

• 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 10: Organise a Fabric Lakehouse Using Medallion Architecture Design

• Describe Medallion Architecture
• Implement a Medallion Architecture in Fabric
• Query and Report on Data in Your Fabric Lakehouse
• Considerations for Managing Your Lakehouse
• Exercise - Organise Your Fabric Lakehouse Using a Medallion Architecture

Module 11: Create Real-Time Dashboards with Microsoft Fabric

• Get Started with Real-Time Dashboards
• Advanced Features
• Real-Time Dashboard Best Practices
• Exercise - Get Started with Real-Time Dashboards

Module 12: Get Started with Data Warehouses in Microsoft Fabric

• 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 - Analyse Data in a Data Warehouse

Module 13: Load Data into a Microsoft Fabric Data Warehouse

• 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 14: Query A Data Warehouse in Microsoft Fabric

• 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 15: Monitor A Microsoft Fabric Data Warehouse

• Monitor Capacity Metrics
• Monitor Current Activity
• Monitor Queries
• Exercise - Monitor A Data Warehouse in Microsoft Fabric

Module 16: Secure A Microsoft Fabric Data Warehouse

• 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 17: Implement Continuous Integration and Continuous Delivery (CI/CD) In Microsoft Fabric

• 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 18: Monitor Activities in Microsoft Fabric

• Understand Monitoring
• Use Microsoft Fabric Monitor Hub
• Take Action with Microsoft Fabric Activator
• Exercise - Monitor Fabric Activity in the Monitor Hub

Module 19: Secure Data Access in Microsoft Fabric

• Understand the Fabric Security Model
• Configure Workspace and Item Permissions
• Apply Granular Permissions
• Exercise: Secure Data Access in Microsoft Fabric

Module 20: Administer A Microsoft Fabric Environment

• Understand the Fabric Architecture
• Understand the Fabric Administrator Role
• Manage Fabric Security
• Govern Data in Fabric

Who Should Attend this Implement data engineering solutions using Microsoft Fabric DP700 Training Course?

This course is designed for individuals who want to develop their understanding for data engineers, IT professionals, and analysts who already have a foundational understanding of data management systems and basic knowledge of cloud services.

• Microsoft Fabric Data Engineer
• Data Engineer
• Cloud Data Engineer
• Business Intelligence (BI) Developer
• Data Architect
• Big Data Engineer
• ETL Developer
• Machine Learning Engineer (Data Focused)

Prerequisites of Implement data engineering solutions using Microsoft Fabric DP700 Training Course

There are no formal prerequisites for this course. It is designed for individuals with little to deepen their expertise in Microsoft Fabric for career advancement in data engineering and architecture.

Implement data engineering solutions using Microsoft Fabric DP700 Training Course Overview

Implement data engineering solutions using Microsoft Fabric DP700 Training Course is a Training Course designed to provide a deep dive into the Microsoft Fabric data platform. This course is crucial for organisations looking to leverage data for advanced analytics and decision-making efficiently. For organisations, it promotes streamlined data processes, enhanced data governance, and improved overall data management capabilities.

Individuals benefit by gaining valuable skills that increase job proficiency and marketability in the tech-driven job market. Completing this training also opens up advanced career opportunities in data engineering and analytics.

In this course, delegates will explore various aspects of data integration, management, and analysis using Microsoft Fabric. They will learn how to ingest, store, manage, and analyse data within the platform, using tools like Dataflows Gen2, Apache Spark, and real-time analytics. The training also covers implementing security measures, optimising performance, and ensuring data compliance within the Fabric ecosystem.

Course Objectives

• To understand and apply data ingestion techniques using Dataflows Gen2
• To design and manage data pipelines within Microsoft Fabric
• To implement real-time data analytics and event handling
• To develop secure, scalable, and efficient data models
• To master data warehousing and storage strategies in Fabric

After attending this training, delegates will be able to effectively manage the full spectrum of data engineering tasks within Microsoft Fabric. They will possess the skills to implement complex data flows, perform detailed analytics, and ensure data integrity and security within their organisations.

What’s included in this Implement data engineering solutions using Microsoft Fabric DP700 Training Course?

• Microsoft Fabric Data Engineer DP700 Examination
• World-Class Training Sessions from Experienced Instructors
• Microsoft Fabric Data Engineer DP700 Certificate