BI - Business Intelligence

Introduction Microsoft Fabric is the new Microsoft branded analytics platform that integrates data warehousing, data integration and orchestration, data engineering, data science, real-time analytics, and business intelligence into a single product. This new one-stop shop for analytics brings a set of innovative features and capabilities by providing a transformative tool for data professionals and business users.

In a day and age where organizations are increasingly data-centric and all aspects of business seem to be controlled or monitored with the utmost detail, capturing and understanding a company’s data usage is often forgotten. This neglect can lead to suboptimal resource use and unnecessarily elevated costs. Asset utilization is a highly important topic in many enterprises, however, a clear view of a company’s data resources is just as relevant as sound knowledge of machine occupation in resource management. Thankfully, Qlik has developed several applications to comfortably resolve this issue and provide a clear picture of your firm’s metadata.

Despite a few missing features in its preview stage, Fabric as a SaaS platform unites the best of data lakes and data warehouses, a Fabric-based Lakehouse offers unparalleled advantages. Seamlessly integrate diverse data sources, leverage powerful analytics, and ensure real-time insights with enhanced performance and scalability. The power of building the Lakehouse from a low-code no-code approach to build with spark notebooks, the One-lake data hub, a variety of data transformation and data presentation techniques and the direct lake mode to report real-time – it indeed stands for “One Unified Data Platform for all” and it is here to stay. 

Microsoft Fabric is the new Microsoft branded analytics platform that integrates data warehousing, data integration and orchestration, data engineering, data science, real-time analytics, and business intelligence into a single product. This new one-stop shop for analytics brings a set of innovative features and capabilities by providing a transformative tool for data professionals and business users.

Timeseer.AI offers a platform-based solution for profiling, analyzing, and augmenting/repairing IoT data, significantly reducing the time required by data science teams to ensure data quality and prevent unreliable data from adversely affecting operations. The software provides an extensive array of capabilities for visualizing and resolving data quality issues, offering configurability through a well-defined set of components. Furthermore, Timeseer.AI seamlessly integrates into the Modern Data Platform on Microsoft Azure, boosting flexible deployment options, effortless programmatic access to Databricks, data lakes, and on-premises databases, along with a streamlined UI experience. These features empower data science and operations teams to swiftly regain control over the quality of their IoT data, making it an invaluable asset for companies seeking to leverage reliable time-series data for crucial business insights and state-of-the-art use cases.

This insight will explore the distinctions between Azure Data Factory and Fivetran and explore the scenarios in which each tool excels. It will help businesses make informed decisions when choosing the most suitable solution for their data integration needs.

Fabric's self-service features can simplify the journey from raw data to insightful knowledge, keeping the data quality and consistency high, and lessening security worries while offering a user-friendly "low code-no code" platform for all.

Fabric is the new Microsoft branded analytics platform that integrates data warehousing, data integration and orchestration, data engineering, data science, real-time analytics, and business intelligence into a single product. This new one-stop shop for analytics brings a set of innovative features and capabilities by providing a transformative tool for data professionals and business users. With Fabric, you can leverage the power of data and AI to transform your organization and create new opportunities.