Analytics Data Warehouse White paper 
databricks
AUGUST 4, 2025
Post launch, we’ve also observed that answer quality continues to climb.” ALHF is now a built-in capability within the Agent Bricks product, empowering Databricks customers to deploy highly customized enterprise AI solutions.
Precisely
OCTOBER 16, 2023
Rapid advancements in digital technologies are transforming cloud-based computing and cloud analytics. Big data analytics, IoT, AI, and machine learning are revolutionizing the way businesses create value and competitive advantage. In a connected mainframe/cloud environment, data is often diverse and fragmented.
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JUNE 12, 2025
Businesses that leverage predictive analytics to enhance customer experience are seeing tangible results. Related Article: What Is Predictive Analytics? Brands like Allstate and Nike are seeing measurable gains from AI-driven personalization and customer targeting. Automation with impact.
Alation
MARCH 29, 2022
This led to the birth of separate systems for reporting: the enterprise data warehouse. For the first time, the focus of a system became business questions, where data was denormalized. First, data and analytics teams never were comfortable ceding control up to business teams. Users need to assess how good data is.
Alation
MARCH 31, 2022
This technological shift placed computing power into the hands of the individual consumer — yet access to corporate data still resided with the “techies”. The Rise of the Data Warehouse. The birth of the enterprise data warehouse was heralded as the solution to limited access. Modern Business Intelligence.
Alation
JANUARY 13, 2022
Data mesh forgoes technology edicts and instead argues for “decentralized data ownership” and the need to treat “data as a product”. Gartner on Data Fabric. Moreover, data catalogs play a central role in both data fabric and data mesh. New to data catalogs?
Alation
JANUARY 25, 2022
As a reminder, here’s Gartner’s definition of data fabric: “A design concept that serves as an integrated layer (fabric) of data and connecting processes. But how do you go about selecting the right data catalog? These two resources can help you get started: White paper: How to Evaluate a Data Catalog.
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