DP-700 Fabric Data Engineer Associate với 10 Bài Kiểm tra Thực hành

Become a Microsoft Certified Fabric Data Engineer: Master Microsoft Fabric & Azure Data Engineering

Are you ready to take your data engineering skills to the next level with Microsoft Fabric? This comprehensive, hands-on course is designed for aspiring Azure Data Engineers and those looking to master Microsoft Fabric while preparing for the DP-700: Fabric Data Engineer certification. With this course, you’ll gain the practical experience and theoretical knowledge needed to excel in data engineering, data transformation, real-time analytics, and machine learning—all within Microsoft Fabric.

What is Microsoft Fabric?
Microsoft Fabric is a unified cloud platform that seamlessly integrates data ingestion, transformation, storage, and analytics. In this course, we will help you become proficient in the essential components of Microsoft Fabric, including OneLake, Dataflows, Pipelines, Notebooks, Spark, KQL, Power BI, and real-time data processing.

What You’ll Learn in This Course:

1. Introduction to Microsoft Fabric:

   • Overview of Microsoft Fabric’s architecture, components, and integration with Azure.

   • Understand how Fabric simplifies data workflows and unifies cloud services.

2. Data Ingestion & Processing:

   • Work with OneLake, Data Pipelines, and Spark-based Notebooks to ingest and process data efficiently.

   • Master how to create and monitor data pipelines.

3. Data Transformation:

   • Learn ETL/ELT workflows using Dataflows, SQL, and PySpark for seamless data transformation.

   • Understand how to transform and clean data for advanced analytics.

4. Real-Time Analytics:

   • Process streaming data with Event Streams and KQL to enable real-time analytics.

   • Learn how to handle real-time data feeds and make decisions based on live insights.

5. Data Security & Governance:

   • Implement RBAC, data policies, and integrate with Microsoft Purview for data security and compliance.

   • Understand how to govern data across the organization.

6. Machine Learning & AI Integration:

   • Learn to integrate Azure AI and Machine Learning tools with Fabric to build predictive models.

   • Explore how to train models directly within Microsoft Fabric.

7. Data Visualization & Reporting:

   • Master Power BI Dashboards for intuitive data reporting and visualization.

   • Learn both Direct Lake and Import Modes for effective data presentation.

8. Fabric Administration:

   • Get hands-on with managing workspaces, optimizing performance, and troubleshooting common issues.

   • Learn about workspace settings, data management, and troubleshooting best practices.

9. Exam Preparation:

   • Comprehensive exam preparation with practice questions, real-world case studies, and hands-on labs.

   • Equip yourself for the DP-700: Microsoft Certified Fabric Data Engineer certification exam.

Who Should Take This Course?

• Data Engineers & Cloud Engineers looking to gain expertise in Microsoft Fabric for enterprise-scale data solutions.

• Business Intelligence Analysts and Data Analysts who want to enhance their skills in data transformation and visualization using Power BI and other tools.

• Database Administrators (DBAs) seeking to manage large-scale data in Azure cloud environments.

• AI/ML Engineers interested in leveraging Microsoft Fabric for training and deploying machine learning models.

• IT Professionals & Azure Architects looking to implement Microsoft Fabric in real-world cloud-based architectures.

• Aspiring Microsoft Certified Professionals preparing for the DP-700 certification exam.

Prerequisites:

• Basic understanding of data concepts, SQL, and cloud computing.

• Familiarity with Azure services (e.g., Synapse, Data Factory, Power BI) is helpful but not required.

• A Microsoft Azure & Power BI account for hands-on practice.

Course Content Overview:

• Data Ingestion & Transformation with PySpark: Learn how to load, save, and manipulate data using PySpark and SQL in notebooks.

• Dataframe Manipulation: Filter, aggregate, and sort dataframes while handling missing data.

• Lakehouse & Data Warehouse Management: Learn how to transform and optimize data in a lakehouse or data warehouse.

• Eventhouse & KQL: Process streaming data and use KQL to filter, aggregate, and transform data.

• Optimizing Notebooks and Automation: Improve notebook performance, automate workflows, and manage data partitioning.

• Streaming Data & KQL Knowledge for DP-600 Exam: Revise KQL concepts and integrate them into your streaming data pipeline.

Bonus Section:

• Learn the best practices for transforming, merging, and cleaning data across various data platforms to ensure scalability and performance.

Why Take This Course? This course is your all-in-one guide to mastering Microsoft Fabric and becoming a Certified Azure Data Engineer. You’ll learn through engaging hands-on labs, real-world case studies, and comprehensive practice exams that are specifically tailored to help you pass the DP-700 exam with confidence. Upon completion, you’ll be equipped to build and manage scalable data solutions, perform real-time analytics, and implement machine learning models—all within the Microsoft Azure ecosystem.

Take Your First Step Towards Certification!
Join the course now and get ready to become a Microsoft Certified: Fabric Data Engineer Associate. Boost your career and make your resume stand out with this highly regarded certification.