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What Is a Data Warehouse? Definition, Architecture, Tools, and Applications

IT Toolbox

A data warehouse aggregates enterprise data from multiple sources to support querying and analysis for better decisions. The post What Is a Data Warehouse? Definition, Architecture, Tools, and Applications appeared first on Spiceworks.

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Gartner analysis: IT infrastructure trends for 2023

Tech Republic Data Center

One Gartner analyst predicts skills growth, the cloud and architecture will all impact IT infrastructure in 2023. The post Gartner analysis: IT infrastructure trends for 2023 appeared first on TechRepublic.

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Bring More Analysis to Your Data: learn key architecture lessons learned over breakfast in Tysons Corner VA

CTOvision

Leading organizations are changing the way they think about data with an enterprise data hub and driving everyday decisions and actions, from fraud prevention to insider threat analysis to exploratory analytics, with new information and new insights. The following is from Cloudera: Bring More Analysis to Your Data.

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Want To Future-Proof Your Data Architecture? Find Out How At The Data Strategy & Insights Event

Forrester IT

Get tips for modernizing your data architecture with data fabric 2.0 in this preview of our Data, Strategy & Insights event.

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The Unexpected Cost of Data Copies

An organization’s data is copied for many reasons, namely ingesting datasets into data warehouses, creating performance-optimized copies, and building BI extracts for analysis. Read this whitepaper to learn: Why organizations frequently end up with unnecessary data copies.

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Data warehouse architecture

Dataconomy

Want to create a robust data warehouse architecture for your business? The sheer volume of data that companies are now gathering is incredible, and understanding how best to store and use this information to extract top performance can be incredibly overwhelming.

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Google?s Performer AI architecture could advance protein analysis and cut compute costs

Venture Beast

In a newly published preprint paper, researchers propose Performer, an AI architecture they say could advance protein analysis while cutting compute costs. Read More.

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How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Join this webinar panel for practical advice on how to build and foster a data literate, self-service analysis culture at scale using a semantic layer. In this webinar you will learn about: Making data accessible to everyone in your organization with their favorite tools.