If acquiring a data governance solution is on your list of things to do in 2025, you might want to take a gander at Gartner’s latest Magic Quadrant for Data and Analytics Governance Platforms, which ...
In response to our readers’ many questions about AI, showing a mix of excitement and concern, we will soon debut a series of monthly articles on the status of AI in the global HPC community and the ...
Successful data strategies are built on a foundation of meticulous data management, creating enterprise architectures that “democratize” data access and usage, yielding measurable results from machine ...
Microsoft quietly last month unveiled DocumentDB, an open source NoSQL database that’s designed to be compatible with MongoDB. The project makes public the PostgreSQL-based technology behind the vCore ...
Databricks has expanded its portfolio with the acquisition of BladeBridge, a startup specializing in enterprise data warehouse migration solutions. The acquisition aims to enable businesses to easily ...
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As 2024 comes to a close, December offers more than just holiday festivities—it’s packed with pivotal events that highlight the advancements shaping technology, business, and innovation. While AWS ...
If acquiring a data governance solution is on your list of things to do in 2025, you might want to take a gander at Gartner’s latest Magic Quadrant for Data and Analytics Governance Platforms, which ...
The IT team at Arity are cruising on the homestretch of a big project to load more than a trillion miles of driving data into a new database on Amazon S3. But if it wasn’t for a decision to switch out ...
AdTech platforms are swimming in data. Managing it isn't cheap. Traditional in-memory databases that offer millisecond latency are great for real-time bidding, but they become insanely expensive when ...
TigerGraph’s eBook “Native Parallel Graphs: The Next Generation of Graph Database for Real-Time Deep Link Analytics,” discusses what developers need to learn in order to leverage the power of graph ...
The humble data lakehouse emerged about eight years ago as organizations sought a middle ground between the anything-goes messiness of data lakes and the locked-down fussiness of data warehouses. The ...