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Business
Alibaba: Building a retail ecosystem on data science, machine learning, and cloud
What does it take to compete in a global arena in which retail and cloud…
Kafka: The story so far
Hard problems at scale, the future of application development, and building an open source business.…
Automating automation: a framework for developing and marketing deep learning models
Are you sold on the benefits of adding automation to your stack, but put off…
The continuing rise of graph databases
Graph technology is well on its way from a fringe domain to going mainstream. We…
Advertising data going forward: Transparency and scale
The problem with advertising data and what to do about it. Plus, the future of…
DataOps: Changing the world one organization at a time
Uncertain about the benefits of going data-driven? Not sure how to get there? Here’s some…
Technical
Want to discover the knowledge graphs in your enterprise data? Siren just secured $10 Million to help do that
Siren promises the benefits of knowledge graphs, without the hassle of reinventing your existing data…
The O word: do you really need an ontology? The Year of the Graph Newsletter: November / October 2019
How do you manage your enterprise data in order to keep track of it and…
Graph for the mass market: Neo4j launches Aura on Google Cloud
Neo4j just launched its cloud offering, which it says will make graph mainstream. We discuss…
Why autonomous vehicles will rely on edge computing and not the cloud
When driving a vehicle, milliseconds matter. Autonomous vehicles are no different, even though it may…
Is open source the way to go for observability? Grafana Labs scores $24M Series A funding to try to prove this
The best observability platforms today are open source, and it should be all about choice,…
Redis Labs goes Google Cloud, Graph, and other interesting places
Redis becomes available on Google Cloud Platform today, and we take the opportunity to explore…