Hazelcast Jet 0.6 promises better processing speeds
Wednesday, April 18, 2018 by Richard Harris
Hazelcast has announced the 0.6 release of Hazelcast Jet - an application embeddable, stream and batch processing engine. New functionality in Hazelcast Jet 0.6 includes a simplified high-level Java API, enhanced job management capabilities which enable computation elasticity and Spring integration.In its 0.5 release, Hazelcast Jet launched its Pipeline API. In Hazelcas...
Hazelcast Jet 0.5 API unveiled to increases dev productivity
Wednesday, November 29, 2017 by Austin Harris
Hazelcast has announced the 0.5 release of Hazelcast Jet - an application embeddable, distributed computing platform for fast processing of big data sets. New functionality in Hazelcast Jet 0.5 includes the Pipeline API for general purpose programming of batch and stream processing, and fault tolerance using snapshotting with the integrated Hazelcast IMDG. The overall f...
Hazelcast updates its Jet distributed processing engine
Wednesday, June 14, 2017 by Richard Harris
Hazelcast, an open source in-memory data grid (IMDG), has announced the 0.4 release of Hazelcast Jet - an application-embeddable, distributed processing engine for big data stream and batch. Major new functionality in Jet 0.4 includes event-time processing with tumbling, sliding and session windowing. Using these new capabilities, users benefit from a feature-rich strea...
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...
Solving the Twin Problems of Speed and Access in Payments
Tuesday, September 13, 2016 by Dave Matter
People want payment to be instantaneous and painless. While that may never be absolutely true, the industry is getting better. What’s driving these improvements are two interconnected trends: shrinking latency and the decline of the walled garden. Working together, the payments community has the ability to create a faster, better industry – and ultimately a ...
BMC Releases New API for Hadoop Application Deployment
Tuesday, July 5, 2016 by Stuart Parkerson
BMC has announced the expansion of its Big Data offerings with updates to its Control-M for Hadoop solution which now offers a Control-M Automation API, designed to improve Hadoop application deployment agility. The Control-M Automation API is a set of programmatic interfaces for Hadoop architects, engineers, and developers to use Control-M in a self-service manner...
How Apache Kafka is Fundamentally Changing the Streaming of Big Data
Tuesday, January 12, 2016 by Richard Harris
LinkedIn, Netflix and Uber are just a few companies who are utilizing Apache Kafka, which facilitates realtime data streams and provides an open source messaging system. We recently visited with Jay Kreps, co-founder and CEO at Confluent, which he founded with other members of the team that built Kafka at LinkedIn. Jay is the original author of several of open sour...
Twitter Opens Registration for Second Flight Mobile Developer Conference
Friday, September 4, 2015 by Richard Harris
Twitter has opened registration for its second Flight developer conference which will be held on October 21 at San Francisco’s Bill Graham Civic Auditorium.In addition to the keynotes from Twitter executives, Twitter product team leaders, and apps and brands active with Titter’s Fabric platform there will be four technical tracks:- The Main Hall Track is scenario-focuse...
Spring Releases Spring XD Milestone 7
Tuesday, June 10, 2014 by Stuart Parkerson
Spring XD is a unified, distributed, and extensible system for data ingestion, real time analytics, batch processing, and data export. The project's goal is to simplify the development of big data applications providing a lightweight runtime environment that is easily configured and assembled via a simple DSL.Spring XD features include: - High throughput distr...
.jpg)
