The rise of big data and the advancement in data science have generated large volumes of data, emphasizing the importance of storage and retrieval in data engineering. As the amount of data created daily is expected to reach a staggering 463 exabytes by 2025, data engineers and analysts have a unique chance to make a real impact. From designing and building to maintaining infrastructures and systems, organizations leverage data engineers to collect, store, process, and analyze data. Microsoft Fabric, a comprehensive analytics solution provides data engineers with a robust platform and a suite of powerful tools to tackle this deluge of data.
Within the Fabric ecosystem, data engineers can leverage robust data processing frameworks, such as Azure Data Factory and Azure Databricks, to design and deploy data pipelines that easily handle massive volumes of data.
In this blog, we will explore data engineering in Microsoft Fabric while highlighting the key components that users can access through the data engineering homepage.
A brief revisit to Microsoft Fabric
Microsoft Fabric is an end-to-end, unified analytics platform, empowering organizations with seamless data integration, comprehensive analytics capabilities, and scalable solutions. It is an AI-powered platform that allows users to derive actionable insights from their data assets. Microsoft Fabric aims to allow businesses and data professionals to make the most out of their data in the age of data and AI.
Microsoft Fabric has a shared SaaS foundation. This foundation brings together various experiences such as Data Engineering, Data Factory, Data Science, Data Warehouse, Real-Time Analytics, and Power BI. This integration allows:
- Access to an extensive range of deeply integrated analytics in the industry.
- Shared experiences that are familiar and easy to learn.
- Developers can easily access and reuse all assets.
- A unified data lake that allows users to retain the data using your desired analytics tools.
- Centralized administration and governance across all experiences.
Read a detailed introduction to Microsoft Fabric here.
Data engineering in Microsoft Fabric
Data engineering in Microsoft Fabric enables you to create and manage data pipelines, forming the backbone of modern data-driven organizations. Microsoft Fabric offers a range of data engineering capabilities to ensure accessibility, organization, and quality of data. Through the data engineering homepage, users can:
- Acquire and manage your data through Lakehouse.
- Design data pipelines to efficiently transfer data into your Lakehouse, no matter where it comes from.
- Use Spark job definitions to submit batch/streaming jobs to the Spark cluster.
- Use notebooks to write codes for various data operations, such as data ingestion, preparation, and transformation.
Microsoft Fabric for data engineering has the potential to revolutionize how data engineers and professionals perform their tasks. It provides an intelligent layer to enhance skills and streamline workflows. With integrated features like Lakehouse, notebooks, Spark Jobs, and data pipelines, it offers a comprehensive solution for modern data management and processing.
Let’s explore these one by one:
Read eBook on Modernize your data stack: Leveraging Microsoft Fabric for success.
