Knowledge Graphs are the new Black. The Year of the Graph Newsletter, May 2019
Knowledge graphs become a centerpiece of Accenture and Microsoft’s toolkits. Knowledge graph lessons from Google, Facebook, eBay, IBM. Graph algorithms and analytics by Neo4j and Nvidia. Connected Data London and JSON-LD goodness, tips and tools for building and visualizing knowledge graphs, using graphs with Elixir and Typescript, and Geometric Deep Learning for a 3D world, […]
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
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 →Cloud native, chaos-tolerant FaunaDB adds support for SQL, GraphQL, and CQL
Tired of using many databases? FaunaDB wants to be the all-in-one solution for polyglot persistence in the cloud and on premise, and it just got SQL, GraphQL, and CQL
Read More →Run:AI takes your AI and runs it, on the super-fast software stack of the future
Startup Run:AI exits stealth, promises a software layer to abstract over many AI chips
Read More →Safety in data: Implementing data-driven road safety
Using data to improve road safety sounds like a good idea, but the devil is in the details.
Read More →The new Cloudera-Hortonworks Hadoop: 100 percent open source, 50 percent boring
How do you bring Hadoop to the AI, hybrid, and multi cloud era, making it so easy to use and reliable that it's boring? How do you build a sustainable business doing that, while switching to a 100-percent open source model? The new Cloudera raises more questions than it offers answers at this point
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