Data processing and analysis play a key role in the success of modern businesses. This course, titled “Implementing a Lakehouse with Microsoft Fabric (DP-601),” teaches you how to centralize and efficiently leverage your data. You will learn to use Microsoft Fabric to meet your organization’s analytics needs.
Through this training, you will master the creation and management of a data lakehouse, combining the flexibility of data lake storage with the analytical power of a warehouse. You will explore the essential features of Microsoft Fabric, including the use of Apache Spark and Delta Lake tables. This practical course will help you transform raw data into actionable insights.
You will complete exercises to create lakehouses, ingest data, and orchestrate processes. You will also learn how to organize your data using the medallion architecture to optimize the performance and readability of analytics. Each module provides concrete skills that can be directly applied to your
Module 1: Introduction to end-to-end analytics with Microsoft Fabric
Module 2: Getting started with lakehouses in Microsoft Fabric
Module 3: Using Apache Spark in Microsoft Fabric
Module 4: Working with Delta Lake tables in Microsoft Fabric
Module 5: Ingesting data with Dataflows Gen2 in Microsoft Fabric
Module 6: Orchestrating processes and data movement with Microsoft Fabric
Module 7: Organizing a Fabric lakehouse using medallion architecture design
In an environment where data is a strategic asset, knowing how to collect, process, and analyze it effectively is essential. The DP-601 training teaches you how to leverage Microsoft Fabric to transform your data into actionable insights. This course guides you through building a data lakehouse, combining the flexibility of data lake storage with the analytical power of a warehouse. This hybrid approach simplifies managing large-scale data while ensuring optimal performance.
Microsoft Fabric stands out for its ability to centralize and harmonize data from various sources. By integrating tools like Apache Spark and Delta Lake, this SaaS platform offers a comprehensive solution for businesses looking to optimize their analytics processes. The course shows you how to configure a data lakehouse environment, leveraging Microsoft Fabric’s advanced features to process large data volumes quickly and accurately.
The use of Apache Spark plays a key role in large-scale data analysis. This distributed processing engine enables complex calculations to be executed quickly. You will learn how to write and run Spark code to manipulate large datasets while using Spark SQL to perform fast and accurate queries. This approach helps you extract relevant insights in minimal time.
Delta Lake tables add an extra layer to data management. With this optimized storage format, you can ensure the integrity and performance of your analytics. The course teaches you how to create and configure Delta tables, emphasizing best practices for optimizing storage and accelerating data processing. You will also learn how to manage real-time data streams by integrating various sources to enrich your analytics.
To ensure seamless processing, it is essential to automate data ingestion and transformation. The course shows you how to use Data Factory to create Gen2 dataflows and integrate them into your processing pipelines. With Power Query Online, you can configure transformation processes without writing code, making data more accessible to business teams. Pipeline orchestration automates repetitive tasks while ensuring workflow monitoring and optimization.
Designing a medallion architecture is an innovative approach to organizing your data. By structuring information into Bronze, Silver, and Gold layers, you can control processing levels and ensure analysis quality. The Bronze layer stores raw data, the Silver layer cleans and enriches information, and the Gold layer offers datasets ready for advanced analytics. This methodology makes data more accessible, improves query performance, and ensures data traceability and reliability.
Throughout the course, you will complete practical exercises to apply the concepts covered. You will learn how to create a lakehouse, write Spark code, and configure ingestion pipelines. Each module includes real-world use cases inspired by common business challenges. By the end of the course, you will be able to deploy a complete data lakehouse solution, leveraging Microsoft Fabric’s advanced features to turn your data into a strategic asset.
What is the duration of the training?
The DP-601 course consists of several modules, with a total duration of about six hours, including practical exercises.
Does this course require advanced technical skills?
No, you only need to understand data terminology and basic storage concepts. Some knowledge of analytics is also recommended.
What are the benefits of Microsoft Fabric for businesses?
This platform simplifies large-scale data management by centralizing information and accelerating analytics processes. It enhances team performance and optimizes decision-making through reliable insights.
How can I access Microsoft Fabric?
Microsoft Fabric is a SaaS solution accessible via a web browser. No additional software is required, making deployment and use straightforward.
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