Is Real-Time Data Delivery Really That Important?
If real-time data means data being transmitted at millisecond speeds, are businesses ready to do something with it?
The ability to continually calculate statistical analytics within constant streams of multiple data coming from devices, sensors, websites, social media, and other applications.
If real-time data means data being transmitted at millisecond speeds, are businesses ready to do something with it?
dA Platform 2 promises centrally managed stream processing capability for enterprises and to manage hundreds of Apache Flink jobs in
Some businesses are struggling to determine how streaming analytics can help them. Here are 7 ways it improves security, productivity, and
Thanks to the rise of the digital enterprise, IoT and real-time analytics, event-driven architecture has moved from the shadows to the business
In urgent situations, such as where a breach will be costly, or someone’s well-being is at risk, historical data and batch processing simply won’t cut …
The Kafka-Spark-Cassandra pipeline has proved popular because Kafka scales easily to a big firehose of incoming events, to the order of 100,000/second and
Streaming analytics products should be able to handle huge amounts of data in
WalMart's Data Cafe has 200 streams of internal and external data, including 40 petabytes of recent transactional data. One use? Faster sales and inventory …
An extreme transaction processing system could be used for anything from mobile app purchases to ecommerce and the Internet of
A rock-solid business use case and data integration are pressing