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Microsoft Fabric Updates Blog

  1. Updates
  2. Ambika Jagadish

Announcing the General availability of time travel and 30 days of data retention in Fabric Warehouse

In the rapidly evolving world of generative artificial intelligence, historical data plays a significant role in influencing the decision-making process and shaping organizational strategies. Data retention within data warehouse refers to the practice of preserving and managing previous iterations of the data encompassing any inserts, updates or deletes made to the warehouse for a specified … Continue reading “Announcing the General availability of time travel and 30 days of data retention in Fabric Warehouse”

Unlocking insights through time: Time travel in Fabric Warehouse (Public Preview)

As data volumes continue to grow in today’s rapidly evolving world of Artificial Intelligence, it is crucial to reflect on historical data. It empowers businesses to derive valuable insights that aid in making well-informed decisions for the future. Preserving multiple historical data versions not only incurs significant costs but also presents challenges in upholding data … Continue reading “Unlocking insights through time: Time travel in Fabric Warehouse (Public Preview)”

Time-Travelling through data: The Magic of Table clones

On July 5th, we announced the ability to clone data warehouse tables within Microsoft Fabric as of current point in time. The ability to clone tables is a powerful technique that not only empowers businesses to streamline reporting and analytics but also helps expedite development and testing processes.  While data warehouses constantly evolve, it is often … Continue reading “Time-Travelling through data: The Magic of Table clones”

Table Clone in warehouse within Microsoft Fabric

In the rapidly changing landscape of artificial intelligence and data-driven advancements, data warehouses play a pivotal role. They serve as a backbone for efficient data management and serve as catalysts for enabling transformative capabilities. The challenges associated with data management multiples with growth in volume and complexity of data. Safeguarding data integrity, while also providing … Continue reading “Table Clone in warehouse within Microsoft Fabric”