Many enterprises are moving towards use of data lakes to help in managing increasing amounts of information. Such large repositories allow organisations to gather and store structured and unstructured ...
The explosion of digital interactions has generated unprecedented volumes of data - far more than traditional systems can efficiently manage. Businesses, particularly those reliant on complex customer ...
A data lakehouse combines the horizontal scalability of data lakes with the transactional management of a data warehouse. Lakehouses decouple storage from compute, so that compute resources can be ...
In today’s fast-changing data landscape, having a strong data system and advanced analytical tools is key to getting valuable insights and staying ahead of the competition. The data lakehouse ...
Traditional data warehouses—once the backbone of business intelligence and reporting—are increasingly misaligned with today’s data demands. The surge in data volume, velocity and variety has exposed ...
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Ensuring proper use of data
Data, according to one definition, is a collection of facts, numbers, words, observations or other useful information.
Microsoft Fabric expands as industry analysts reveal critical criteria enterprises need for evaluating AI-ready data ...
Real-time data processing has become essential as organizations demand faster insights. Integration with artificial ...
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Microsoft weaves Oracle and BigQuery data mirroring into Fabric platform
And knits a graph DB out of LinkedIn cast-offs Microsoft is extending its Fabric cloud-based data platform by including ...
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