Modernizing Hadoop: Reaching the plateau of productivity

What's new in Hadoop, and how is vendor dynamics and strategy evolving?
Read More →GPU databases are coming of age

GPUs are powering a new generation of databases. What is so special about them and can they come into their own?
Read More →Water data is the new oil: Using data to preserve water

Data and water do mix, apparently. Using data and analytics can lead to great benefits in water preservation.
Read More →Data.world: The importance of linking data and people

Notepads, graphs, data lakes, collaboration, and data manifestos. Data.world has an interesting blend of philosophy and technology going on — and it all converges around one thing: Facilitating data-driven analysis by making it a team sport.
Read More →Back to the future: Does graph database success hang on query language?

If the history of relational databases is any indication, what is going on in graph databases right now may be history in the making.
Read More →Is 5G the missing link for autonomous vehicles, smart cities, and a brave new world?

We may have hit peak 5G hype before 5G is actually available. But is 5G really a game changer?
Read More →DataTorrent: Hard code around streaming data philosophy in 90 days

We give you streaming data applications in 90 days, no matter what. And we'll do anything, including building on our closest competitor's engine, to deliver.
Read More →The Reskilling Revolution: Taking control of skills with Open Badges

In a rapidly shifting job market, being able to formalize skills is a requirement for job seekers and employers going forward. Open Badges is a data specification that may be able to help do that.
Read More →Opening banking data and APIs: Land of opportunity or Pandora’s box?

The EU directive PSD2 may not be as famous as GDPR, but its effects may be even more dramatically felt by financial institutions and anyone transacting with them.
Read More →The year of the graph: Getting graphic, going native, reshaping the landscape

The year of the graph is here. Do you really need a graph database, and, if yes, how do you choose one?
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