Data Engineering in Microsoft Fabric is a service that we implement and configure as a Microsoft Partner, enabling large-scale data engineering and analysis.
Data Engineering streamlines work with corporate data. Instead of wasting time connecting more products, worrying about running and managing infrastructure, and combining different data sources, data engineers can focus on the key tasks at hand.
With serverless architecture and automatic scaling, organizations eliminate the need to maintain costly test, staging and production environments. In practice, this means up to 30% lower data infrastructure costs (compared to traditional on-premises or IaaS environments) and no charges for unused resources - you only pay for actual processing.
A modern notebook environment (Spark + T-SQL + Python), ready-to-use connectors for more than 200 data sources and integration with OneLake significantly accelerate the work of data & analytics teams. As a result, it is possible to reduce development and maintenance pipeline time by up to 40%,
Through integration with Power BI and Lakehouse's capabilities, data is processed and prepared for analysis in real time, reducing data preparation time from days to hours, automating data update pipelines and schedules, and making business decisions faster.
Reduce deployment time for data-driven projects, such as BI and ML projects can be launched up to 2x faster with Fabric's ready-to-use features and access to data from multiple sources in real time - no manual synchronization required.
Data engineering is a key part of the operation of any modern organization. The vast amount of diverse data requires efficient large-scale processing. Data engineers have to meet a number of challenges, such as consolidating data, ensuring information security and democratizing access to meet the diverse needs of users. However, these tasks are not easy to accomplish. Often, data are scattered across multiple sources, making the process of collecting and synchronizing them difficult. They are also sometimes duplicated, leading to problems of inconsistent information. These challenges can block projects, reducing productivity. To avoid them, it is logical to use Data Engineering.
200 +
completed implementations500 +
satisfied customers1000 +
developed analyses10000 +
trained customersMicrosoft Fabric's Data Engineering solution enables fast and efficient processing of large data sets, using advanced techniques and optimizations that significantly reduce the execution time of complex operations.
Microsoft Fabric service offers resource management flexibility, enabling dynamic adjustment of compute power and memory according to project needs, optimizing costs and performance.
Data Engineering in Microsoft Fabric guarantees a high level of data security and reliability in processing, using advanced access control mechanisms, ensuring full trust in analysis results.
Thanks to its full integration with the Microsoft Fabric ecosystem, deploying Data Engineering is extremely simple and seamless, allowing you to quickly and seamlessly set up your work environment and start processing data.
With the rich set of tools in Data Engineering, advanced data transformation and cleansing operations can be performed, leading to more consistent and complete data in the analysis process.
Microsoft Fabric service allows easy data integration from different sources and supports various data formats, enabling organizations to use a full range of data for better and more comprehensive analysis.
