How to use blockchain to build a database solution
Why would you want to use blockchain to build a database solution? And how would you actually do that? BigchainDB has answers.
Read More →Artificial intelligence in the real world: What can it actually do?
What are the limits of AI? And how do you go from managing data points to injecting AI in the enterprise?
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 →Streaming hot: Real-time big data architecture matters
What is streaming in big data processing, why you should care, and what are your options to make this work for you?
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 →Googling prescriptive analytics: YouTube recommendations and the analytics continuum
Understanding prescriptive analytics is complicated, let alone implementation. Would turning to Google help? Seeing how it works for Google raises questions, but may also lead to some answers.
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 →Why finance craves big data: A perfect storm of disruption and opportunity
The financial services domain, where real-time is measured in milliseconds, holds particular interest for big data applications and vendors for a number of reasons: architecture, regulation, transparency, decision-making, and the need for speed.
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