Microsoft Fabric is a unified and scalable data analytics solution that offers companies a simple and cost-effective way to store, analyze, and visualize their data. Fabric combines the advantages of data lakes and data warehouses into a single solution.
With Microsoft Fabric's SaaS experience, seamless integration of all data and services is achieved. IT teams can centrally configure features, and key enterprise permissions are automatically applied across all underlying services. In addition, data confidentiality labels are automatically inherited between the different elements in the set.
Fabric enables creators to focus on producing their best work, freeing them from the need to integrate, manage, or understand the underlying infrastructure supporting the experience.
Microsoft Fabric offers a complete set of analytics experiences designed to work seamlessly together. Each experience is tailored to a specific role and task. Fabric includes industry-leading experiences in the following categories for end-to-end analytical needs.
Data Engineering: Microsoft’s Data Engineering experience provides a world-class Spark platform with excellent development capabilities, allowing data engineers to perform large-scale data transformations and democratize data through the Datalake warehouse. The integration of Microsoft Azure Synapse Analytics (formerly SQL Data Warehouse) with Azure Data Factory allows scheduling and orchestrating notebooks and Spark jobs for distributed processing on scalable clusters, achieving high-performance big data analytics. This combination of cloud analytics services forms a leading solution for enterprise data engineering.
Data Factory: Azure Data Factory integrates Power Query's data preparation capabilities with Azure Data Factory's scalability and processing power. It offers over 200 native connectors to access both on-premises and cloud data sources.
Data Science: The Data Science experience in Azure Synapse allows for the simple development, deployment, and operationalization of machine learning models, integrated into the platform. It connects with Azure Machine Learning to provide model and experiment tracking and registration, along with MLOps functionalities. This combination facilitates the creation of advanced analytics and machine learning pipelines in a collaborative way between data scientists and data engineers.
Data Warehouse: The SQL Data Warehouse experience provides industry-leading performance and massive scalability. Separating processing from storage allows both components to scale independently. Additionally, it stores data natively in the open format Azure Data Lake Storage.
Streaming Analytics: Telemetry data is collected from various sources such as applications, IoT devices, interactions, etc. This data is often semi-structured in formats like JSON or text, with high volume and evolving schemas. These characteristics make processing difficult on traditional data storage platforms. Azure Stream Analytics is the best-in-class engine for real-time telemetry and streaming data analytics.
Power BI: The world's leading business intelligence and self-service analytics platform. It allows business users to quickly and intuitively access all data in Azure Synapse to gain insights and make better data-driven decisions.
Fabric brings all these experiences together in a unified platform to offer the most comprehensive big data analytics platform on the market, and it is now available for you to implement in your business.
If you want to learn more about how we can help your company implement solutions to improve your processes and boost your results, write to us! Or schedule a meeting with us.