The AI chip unicorn that’s about to revolutionize everything has computational Graph at its Core
AI is the most disruptive technology of our lifetimes, and AI chips are the most disruptive infrastructure for AI. By that measure, the impact of what Graphcore is about to massively unleash in the world is beyond description. Here is how pushing the boundaries of Moore's Law with IPUs works, and how it compares to today's state of the art on the hardware and software level. Should incumbent Nvidia worry, and users rejoice?
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.
Read More →Want to boost customer engagement? Invest in data integration, metadata, data governance, says Informatica
What does a Data Hub Reference Architecture have to do with Customer Engagement? A lot, according to Informatica, who wants to complement Adobe, Microsoft, and SAP, in their Open Data Initiative. The big question, however, is whether this has legs.
Read More →More graph databases. The Year of the Graph Newsletter Vol. 8, December 2018
Redis announces RedisGraph and a benchmark, TigerGraph goes AWS, AWS hands-on experiences, new features from Stardog and AnzoGraph, Graphs and Machine Learning, GraphQL, Atlas, DBpedia, Connected Data London and the Year of the Graph. I often get asked about graph databases – what they are, what are they good for, how to choose one, as […]
Read More →Real-time data processing just got more options: LinkedIn releases Apache Samza 1.0 streaming framework
Samza is now at near-parity with other Apache open-source streaming frameworks such as Flink and Spark. The key features in Samza 1.0 are SQL and a higher level API, adopting Apache Beam. What does this mean for this space, and how do you choose?
Read More →Just another Cyber Monday: Amazing Amazon and the best deal ever
When you get something at 80% off on Amazon, who do you think wins — you or Amazon? If you think that’s a strange question, you ain’t seen nothing yet. Maybe it’s time we re:Invent some things. But, how can possibly getting a huge discount be bad? It’s not, if you actually need what you’re buying, and […]
Read More →From big data to AI: Where are we now, and what is the road forward?
It took AI just a couple of years to go from undercurrent to mainstream. But despite rapid progress on many fronts, AI still is something few understand and fewer yet can master. Here are some pointers on how to make it work for you, regardless of where you are in your AI journey.
Read More →ScyllaDB achieves Cassandra feature parity, adds HTAP, cloud, and Kubernetes support
ScyllaDB, the open-source drop-in replacement for Apache Cassandra, is growing up. Version 3.0 closes the gap in terms of features, and has a few extras to add on top of superior performance over Cassandra.
Read More →MemSQL 6.7 brings free tier and performance enhancement: Transactions for nothing, and faster queries for free
MemSQL is not the first database to offer a free tier. But this one comes with full functionality to support real-world use cases, while also improving performance for typical data warehousing queries by a factor of 100.
Read More →Graph gets funding. The Year of the Graph Newsletter Vol. 7, November 2018
October 2018 was the busiest month in the busiest year in graph history, hence the longest Year of the Graph newsletter to date. Neo4j lands a massive funding round, Tinkerpop is moving forward, the most important knowledge graph research event with key industry presence, W3C organizing a Workshop on Web Standardization for Graph Data, and […]
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