Getting your corporate data ready for prescriptive analytics: data quantity and quality in equal measures
Good news: there's nothing special about getting your data ready for prescriptive analytics. Bad news: you need to do what's needed to get your data ready for any type of analytics – and that's hard work.
Read More →A guide for prescriptive analytics: The art and science of choosing and applying the right techniques
Prescriptive analytics is nothing short of automating your business. But there's lots of hard work, and many stages you need to go through before you get there.
Read More →Breaking up Facebook? Try data literacy, social engineering, personal knowledge graphs, and developer advocacy
Yes, Facebook is a data-driven monopoly. But the only real way to break it up is by getting hold of its data and functionality, one piece at a time. It will take a combination of tech, data, and social engineering to get there. And graphs — personal knowledge graphs.
Read More →Graphs in the cloud. The Year of the Graph Newsletter: April 2019
The first sign of convergence in the graph space is here. Graph databases continue to grow, expand, and make their way to the cloud, a number of open source frameworks for working with graphs has been released, and a slew of new interesting use cases. Read the full article on the Year of the Graph
Read More →Google Cloud gives open-source data vendors a break. Will that save open source?
Google will give open-source data vendors that offer their software on Google Cloud a share of the proceeds. It's a good move, and a good thing. But there's more than meets the eye here.
Read More →Graph data standardization: It’s just a graph, making gravitational waves in the real world
AWS, Google, Neo4j, Oracle. These were just some of the vendors represented in the W3C workshop on web standardization for graph data, and what transcribed is bound to boost adoption of the hottest segment in data management: Graph.
Read More →Start the reskilling revolution without me: Future of Work trends and soft data on soft skills
As work is being redefined by automation as well as changing economy and social norms, how can technology help us stay abreast, discover, hone and document our skills, and match labor demand and supply?
Read More →Beyond experts: Jobs, tasks, and skills for a data driven Future of Work
Understanding and keeping track of the relationship between jobs, tasks and skills is essential for the future of work. If current efforts fall short, how can we do this going forward?
Read More →Alibaba Blinks: Building an open source, data-driven cloud empire in real-time
Acquiring data Artisans, the vendor leading development of open source Apache Flink framework for real-time data processing, is the latest move from Alibaba. Where does this fit in Alibaba's strategy to grow its cloud?
Read More →The rise of Kubernetes epitomizes the transition from big data to flexible data
Can a platform conceived to support running ephemeral applications become the operating system of choice for running data workloads in the multi-cloud and hybrid cloud era? Looks like it, but we're not just there yet.
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