Two weeks ago, Matt Coventon, ISE’s Big Data Practice Lead, and I went to New York City for three days to attend the annual Strata + Hadoop Big Data Conference. If you are not familiar with it, Strata + Hadoop World is the largest Big Data conference of its kind. The conference brings together data scientists, software engineers, innovators, executives, and software providers who want to explore and learn more about the latest emerging data technologies. I am a relative newbie when it comes to Big Data, so my objective was to go and learn as much as I could about the market and the technologies.
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A few weeks ago, a colleague and I attended the International Conference of Precision Agriculture. During this annual joint conference of the International Society of Precision Agriculture (ISPA) and InfoAg, one theme constantly emerged: “It’s the data (management), stupid”
In-memory computing is evolving rapidly, providing the high-throughput and low-latency data processing needed to fuel IoT innovation. And, the open source Apache Ignite project is leading the way with a full-featured, in-memory data fabric that includes a data grid, compute grid, service grid, and messaging. But did you know it also provides streaming and complex event processing (CEP) features? With so many other streaming engines available (such as Spark Streaming, Apache Flink, or Apache Apex) why choose Apache Ignite?
Last week, May 23-24, I presented at the In-Memory Computing Summit 2016 in San Francisco, CA. This is an industry-wide event tailored to in-memory computing related technologies and solutions. In-memory computing visionaries, decision makers, experts and developers gathered to discuss current uses of in-memory computing as well as the future of this rapidly evolving market.