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The impact of fast data on the modern application stack
Monday, October 9, 2017 by Richard Harris
Lightbend has announced its Fast Data Platform to help operationalize applications built for streaming data use cases. The new distribution aims to support how organizations design, build and run fast data applications, as new use cases like Real-Time Decisioning, Real-Time Personalization, IoT and others evolve the big data requirements from its legacy batch/Hadoop roo...
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...
Oracle chats about the new data integrator cloud service
Tuesday, February 21, 2017 by Richard Harris
On February 13, Oracle unveiled Oracle Data Integrator Cloud Service, Oracle’s new data integration cloud service aimed at simplifying and accelerating cross-enterprise data integration to support real-time analytics and help organizations drive better business decisions. With the increasing need for the enterprise to be effective and agile, organizations need seamless ...
Ben Markham Chats About Being a Big Data Developer With Apache Hadoop
Wednesday, August 17, 2016 by Richard Harris
We recently sat down with Ben Markham, Big Data Architect, Xiilab and ODPi member about developing sensor data solutions, working with Hadoop, what the big data market looks like in South Korea, and how it is to develop for a South Korean company?ADM:You are a developer for Xiilab, what do you do for them?Markham: I develop applications with Spring and Java EE, whi...
BlueData Facilitates RealTime Data Pipelines with Spark, Kafka, and Cassandra
Sunday, February 21, 2016 by Richard Harris
BlueData has launched a new Real-time Pipeline Accelerator solution for building real-time data pipelines with Spark Streaming, Kafka and Cassandra. The new platform provides the ability to develop and test applications for analyzing “Fast Data,” facilitating real-time or near real-time data that requires instant awareness, faster decision-making, and immediate action.B...
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...