Data Engineering in Microsoft Fabric
In Microsoft Fabric, data engineering plays a pivotal role to empower users to architect, construct, and upkeep infrastructures that facilitate seamless data collection, storage, processing, and analysis for their organizations.
Data Engineering in Microsoft Fabric encompasses three main components:
- Data Engineering: This aspect involves collecting data from various sources, processing it in real-time or batch mode, and transforming it into actionable insights. Microsoft Fabric’s Data Engineering ensures scalability and flexibility, making it suitable for handling diverse data challenges.
- Data Factory: As a fully managed data integration service, Data Factory enables the creation and orchestration of complex data workflows. It allows seamless data movement and transformation across different sources and destinations, simplifying data processing and ensuring efficiency.
- Data Warehousing: Provides a centralized repository for structured and unstructured data. It offers scalable and secure storage, ensuring efficient query performance and easy access to critical data.
These three main components are in turn made accessible through key features available from the data engineering homepage that include:
- Lakehouse creation and management where users can oversee their data, providing a unified repository storage and processing.
- Pipeline design, enabling efficient data copying into their Lakehouse.
- Spark job definitions to easily submit batch and streaming jobs to the Spark cluster for processing and analysis.
- Notebooks to craft code for data ingestion, preparation, transformation, and streamlining data engineering workflows.
Business case:
In the dynamic world of retail, a savvy company harnesses Microsoft Fabric’s array of tools to revolutionize their data landscape. OneLake, their all-encompassing data repository, harmonizes sales, inventory, and customer data streams. By orchestrating seamless data pipelines, they channel diverse information into OneLake with precision. Spark job definitions section empowers you to do real-time analysis, unraveling intricate sales trends and highlighting inventory fluctuations. The utilization of interactive notebooks within this ecosystem streamlines data engineering, refining information for impactful Power BI reports. This seamless integration fuels agile decision-making, propelling the retail venture toward strategic brilliance amidst a competitive market.
Want to know more about Microsoft Fabric?
Want to know more about Microsoft Fabric as a service? On October 26 we’re organizing a Fabric Masterclass that dives deep into different Fabric use cases for Data Science, Data Engineering, and Data Visualization.
Want to know more about Microsoft Fabric?
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