Business intelligence, meet graph. Neo4j introduces BI connector for data discovery tools
Mixing graph and relational data is now even more accessible. What does this mean for analytics, and for graph databases specifically?
Read More →Graph analytics for the people: No code data migration, visual querying, and free COVID-19 analytics by TigerGraph
Graph databases and analytics are getting ever more accessible and relevant
Read More →Machine learning vs payment fraud: Transparency and humans in the loop to minimize customer insults
What are customer insults, and what does machine learning have to do with it?
Read More →Universal Code Search gets a boost: Sourcegraph secures $23 million Series B Round funding
Sourcegraph wants to be the Google of code, even though code search is harder than web search
Read More →Make software great again: can open source be ethical and fair?
Is there a way to go beyond open source, and have ethical, fair software in a cloud-first world? This is what some people in the open source community think. In the 20 years since its inception, open source has turned out to be the most successful model for building software. The world today runs on […]
Read More →Neo4j 4.0 adds enterprise Fabric to its graph database
In its new release, Neo4j addresses key concerns for enterprise adoption. Scalability, security, management and architectural changes are here. And so is a strange feeling of deja-vu, too.
Read More →Knowledge graph evolution: Platforms that speak your language
Knowledge graphs are among the most important technologies for the 2020s. Here is how they are evolving, with vendors and standard bodies listening, and platforms becoming fluent in many query languages
Read More →5 technology trends for the roaring 20s, part 2: AI, Knowledge Graphs, infinity and beyond
You don't have to be a fortune teller to identify AI as the key trend for the 2020s. But there is nuance regarding AI hardware and software that deserves to be highlighted.
Read More →Semantics and virtualization, data integration and data governance on the way to the cloud
It's official – data analytics is swiftly moving to the cloud. AtScale is facilitating this, and CEO Chris Lynch shares his insights the hows and whys, in light of the unveiling of AtScale's Adaptive Analytics 2020.1
Read More →DevOps and observability in the 2020s
What do the data tell us on the direction modern software development is going? Cloud, open source, machine learning — it's all here, but blind spots remain.
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