Business Analytics Strategy

Databricks Federated Queries enable seamless data querying across multiple sources, eliminating the need for data duplication.

Stay updated with Databricks! Explore the latest features and insights into their Data Intelligence Platform. Learn practical tips to maximize your data experience on this leading cloud-based platform for scalable solutions.

The first-ever Data & AI World tour was a huge success, and you can expect it to happen again next year in some form (maybe even in Belgium!). Generative AI is a robust ongoing trend, and Databricks utilizes Generative AI to enhance various functionalities and features. This integration has spawned the term "Data Intelligence Platform" by combining Generative AI with a Lakehouse, simplifying data querying, management, and governance processes significantly.

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.

Microsoft Fabric offers Data Science experiences to empower users to complete end-to-end data science workflows for the purpose of data enrichment and business insights. You can complete a wide range of activities across the entire data science process, all the way from data exploration, preparation and cleansing to experimentation, modelling and model scoring and serving of predictive insights to BI reports.

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.