Disrupting insurance: data-driven customer value
Why hasn't the insurance business been disrupted yet, and how could data be used to do this? Atidot has a go at addressing those questions.
Read More →Devs are from Mars, Ops are from Venus: Can analytics bridge the gap?
Despite what they'd have you believe, Devs and Ops don't always get along nicely. Pepperdata and LinkedIn think data and analytics may be the way to educate and show the impact of code running in production.
Read More →MapR, DataStax offer options for container persistence
If it's lack of options for persistence that's keeping you from using containers, maybe it's time you reconsider.
Read More →Staying agile: data-driven IT operations
Would you like to have an end-to-end picture of your IT operations, but are lost in translation among a myriad monitoring solutions and metrics? Your monitoring should be as agile as your operations, and OpsDataStore says it can help you get there.
Read More →Digital transformation as a data-centric service
Is digital transformation something you can just buy into? No, but it is a data-centric process, and having the right products and people in place makes all the difference, according to Stratio.
Read More →Big Data, Crystal Balls and Looking Glasses: Reviewing 2016, predicting 2017
End-of-year reviews are boring — and everyone does them. Predictions are boring — and they are hard. Of course, this is different — because big data.
Read More →Error – data not found: Precarious data and architectures of the future
Can data from organizations as prominent as NASA vanish into thin air? A grass-roots initiative lead by scientists and researchers believes it just might, and is doing everything in its power to prevent this.
Read More →Birst-ing into mainstream: Machine Learning meets Semantics in a networked world
Birst is one of the poster children of self-service analytics. Convergence and democratization are the key themes underlying Birst's new release out today, as Birst is trying to balance self-service with enterprise requirements, and making a case for some of the industry's defining trends while at it.
Read More →Out of the Hadoop box: SQL everywhere and AtScale
AtScale has made a name for itself by providing an access layer on top of Hadoop that enables it to be used directly as a data warehouse. AtScale is now announcing support for Teradata DW and Google Dataproc and BigQuery, offering what it calls a Unified Analytics Platform. Why this move now, how does it work and what does it mean?
Read More →From Brexit to Trump: How organizations can use data to prepare for and respond to political events
Politics and data do mix, apparently, so we try to count the ways.
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