#datatorrent

DataTorrent: Hard code around streaming data philosophy in 90 days

Video: Inside CES 2018: AI, big data, and 5G are the future This is not something we are used to hearing, coming from big data vendor CEOs. But it’s the essence of what DataTorrent CEO Guy Churchward told ZDNet, on the occasion of the new version DataTorrent is releasing today. DataTorrent RTS is the commercial incarnation of the Apache Apex streaming engine. As is typically the case with Apache…

DataTorrent Simplifies Data Ingestion and Extraction for Hadoop

DataTorrent dtIngest simplifies the collection, aggregation and movement of large amounts of data to and from Hadoop for a more efficient data processing pipeline and is available to organizations

DataTorrent Integration with Microsoft Azure HDInsight

DataTorrent RTS, the open-source, enterprise-grade unified platform for both stream and batch processing on Hadoop, is teaming up with Microsoft Azure HDInsight via the Microsoft Azure Marketplace.

DataTorrent

DataTorrent is the leader in real-time big data analytics. DataTorrent RTS provide high performing, fault tolerant unified architecture for both data in motion and data at rest. The engine provides

DataTorrent Simplifies Data Ingestion and Extraction for Hadoop

DataTorrent dtIngest simplifies the collection, aggregation and movement of large amounts of data to and from Hadoop for a more efficient data processing pipeline and is available to organizations

DataTorrent Integration with Microsoft Azure HDInsight

DataTorrent RTS, the open-source, enterprise-grade unified platform for both stream and batch processing on Hadoop, is teaming up with Microsoft Azure HDInsight via the Microsoft Azure Marketplace.

DataTorrent

DataTorrent is the leader in real-time big data analytics. DataTorrent RTS provide high performing, fault tolerant unified architecture for both data in motion and data at rest. The engine provides

DataTorrent Simplifies Data Ingestion and Extraction for Hadoop

DataTorrent dtIngest simplifies the collection, aggregation and movement of large amounts of data to and from Hadoop for a more efficient data processing pipeline and is available to organizations