Topic: processing

Apache Kafka reaches milestone with version 1.0.0

Open-source software foundation Apache released version 1.0.0 of its Kafka distributed data streaming platform today, with the first full version number indicating Apache’s confidence that Kafka is ready for major professional use. “Apache Kafka is playing a bigger role as companies are moving to real-time streaming and embracing stream processing,” Jun Rao, vice president of … continue reading

Hazelcast 3.8 provides better uptime

In-memory data grid Hazelcast was updated to version 3.8 today. The update includes improvements targeted at administrators tasked with maintaining Hazelcast clusters. For version 3.8, the main focus has been on offering a better operational experience to users. This means minimizing the amount of time required for upgrades, changes and restarts of a cluster. (Related: Hazelcast … continue reading

Microsoft open-sources Graph Engine

It’s now been 11 hours since Microsoft’s last major open-source release. Early this morning, the company pushed the source code for Graph Engine to GitHub. The code includes the distributed in-memory data processing engine, a strongly typed in-memory key-value store, a general distributed computation engine, and the Language-Integrated Knowledge Query (LIKQ) graph query language. In … continue reading

Hazelcast offers processing engine

Hazelcast today released the first version of Hazelcast Jet, a distributed processing engine for Big Data streams. Jet integrates with the Hazelcast in-memory data grid to process data in parallel across nodes in near real time. Hazelcast Jet uses directed acyclic graphs to model relationships between tasks in the data-processing pipeline. The system is built … continue reading

New chip by MIT researchers may push IoT technology, and Ford and Pivotal team up on FordPass software—SD Times news digest: Feb. 8, 2016

Researchers at the Massachusetts Institute of Technology (MIT) have designed a new chip specifically to implement neural networks. This chip may enable mobile devices to run powerful artificial intelligence algorithms and help “usher” along the Internet of Things. The chip is 10x as efficient as a mobile GPU, so it could enable devices to run … continue reading

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