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 →Data.world joins forces with Capsenta to bring knowledge graph-based data management to the enterprise
Data.world has been expanding its footprint in the enterprise. The acqui-hiring of Capsenta complements its portfolio with knowledge graph virtualization to connect data in the cloud and on premise, and a UI to build knowledge graphs
Read More →Hazelcast open source in-memory data grid secures $21.5 million funding, expands platform to real-time streaming data
The streaming data pie is growing, and Hazelcast wants a piece of it. It's got some way to go, funding helps, but is it enough?
Read More →The Graph: An open-source query protocol for blockchains, using GraphQL
Querying blockchains is hard, but it does not have to be. This is the vision driving The Graph.
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 →Chainlink launches Mainnet to get data in and out of Ethereum smart contracts
Smart contracts promise to take execution of processes and agreements to the Ethereum global computer. There's just one problem: Smart contracts can't talk to the rest of the world. Chainlink wants to solve this, starting today.
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 →On the Rookout for live data: Instant observability to fix software bugs and open AI black boxes
Getting data to debug your code while running in production, without stopping or redeploying it. Whatever you may be running, wherever you may be running it. And now, with support for open source machine learning frameworks Apache Spark and Tensorflow added to the mix. This is what startup Rookout promises.
Read More →A standard for storing big data? Apache Spark creators release open-source Delta Lake
From data lakes to data swamps and back again. Data reliability, as in transactional support, is one of the pain-points keeping organizations from getting the most out of their data lakes. Delta Lake is here to address this.
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
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