Develop your expertise in data engineering with our training course “Implementing a Lakehouse with Microsoft Fabric (DP-601)“, specially designed to introduce you to Lakehouse strategies and optimal utilization of Apache Spark for large-scale data processing. By immersing yourself in our program, you will master crucial techniques for data management, orchestration, and versioning using Delta Lake tables, essential for ensuring the reliability and efficiency of your projects.
Through a balanced approach between theory and practice, this “Implementing a Lakehouse with Microsoft Fabric (DP-601)” course will equip you with the necessary skills to navigate seamlessly within the Microsoft Fabric ecosystem, leveraging Dataflows Gen2 and Data Factory pipelines for unprecedented data ingestion and management.
Module 1 – Introduction to End-to-End Analysis with Microsoft Fabric
Module 2 – Getting Started with Lakehouses in Microsoft Fabric
Module 3 – Working with Apache Spark in Microsoft Fabric
Module 4 – Working with Delta Lake Tables in Microsoft Fabric
Module 5 – Data Ingestion with Dataflows Gen2 in Microsoft Fabric
Module 6 – Using Data Factory Pipelines in Microsoft Fabric
Lakehouses represent a significant innovation in the field of data analytics, combining the flexibility of data lakes with the rigorous management of data warehouses. Our second module guides you through the unique architecture of Microsoft Fabric Lakehouses, providing valuable insights into how to handle and transform data within this environment. Explore best practices for effectively working within Microsoft Fabric Lakehouses, and master techniques for unprecedented data exploration.
Apache Spark has emerged as a crucial component of the modern data ecosystem, thanks to its ability to process large volumes of data at high speed. This module prepares you to harness the power of Spark within Microsoft Fabric. Learn how to run Spark code, manipulate dataframes, and use Spark SQL to query datasets. Additionally, we’ll cover innovative methods for visualizing data directly within Spark notebooks, enhancing your analytical capabilities.
Delta Lake provides a transactional storage layer that brings reliability and performance to lakehouses. This module focuses on the use of Delta Lake tables, teaching you how to create and manipulate these tables within the Spark ecosystem. We’ll also explore advanced strategies for integrating streaming data, strengthening your arsenal of data analytics skills.
Data ingestion is a crucial pillar of any data analytics project. Our module on Dataflows Gen2 in Microsoft Fabric provides you with a detailed understanding of these powerful ingestion tools. Discover how to integrate Dataflows with pipelines to automate and optimize the flow of data within your analytics ecosystem.
The final module of our training highlights Data Factory pipelines, a key element for orchestrating and automating data workflows. Learn how to use the Copy Data activity for effortless data ingestion, leverage pipeline templates to standardize processes, and effectively monitor pipeline execution to ensure the performance and reliability of your data analytics projects.
By integrating these modules into your learning journey, you’ll not only be equipped with the technical skills necessary to navigate the Microsoft Fabric ecosystem, but you’ll also have a deep understanding of how these technologies can be applied to solve real-world problems and generate value from your data. Join us to transform your data into actionable insights with Microsoft Fabric.
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Monday to Friday, from 8:30 am to 06:00 pm.
