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:
These three main components are in turn made accessible through key features available from the data engineering homepage that include:
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 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.
Microsoft Fabric is a platform that offers Data Science solutions to empower users to complete end-to-end data science workflows for data enrichment and business insights. The platform supports a wide range of activities across the entire data science process, from data exploration, preparation, and cleansing to experimentation, modeling, model scoring, and serving predictive insights.