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Developer news items we found relating to big data streams
Zero latency apps gets closer to reality thanks to Redis Labs
Tuesday, November 20, 2018 by Richard Harris
Complex technologies like a self-driving car take in huge amounts of data from its environment, processing it and make appropriate decisions on how to respond within a few milliseconds. This is the kind of zero latency future Redis Labs is enabling, and they announced at Redis Day London, the latest release of Redis Enterprise with two key functionalities: Red...
On the origin of applications: From monolith to microservices
Monday, July 31, 2017 by Pat Bakey
Computing and biology are often seen as existing on two separate planes: computing relies on order of operations and algorithms, while biology functions on organ systems and bodily processes (although, bio-computing is closing this gap). As different as they may seem, they hold a striking similarity in that they are both governed by natural selection - or in the case of...
Data science benefits in the enterprise are being ignored
Thursday, February 16, 2017 by Richard Harris
New research announced by Continuum Analytics, the creator and driving force behind Anaconda, an Open Data Science platform powered by Python, finds that 96 percent of data science and analytics decision makers agree that data science is critical to the success of their business, yet a whopping 22 percent are failing to make full use of the data available. These finding...
New distributed processing engine for big data streams lands
Wednesday, February 8, 2017 by Richard Harris
Hazelcast, an open source in-memory data grid (IMDG), has launched Hazelcast Jet - a distributed processing engine for big data streams. With Hazelcast’s IMDG providing storage functionality, Hazelcast Jet is a new Apache 2 licensed open source project that performs parallel execution to enable data-intensive applications to operate in near real-time. Using directed acy...