A look at what ‘streaming’ and ‘real-time’ data analytics should be. You’ll be surprised by how your customers define those terms.
Topic: Streaming analytics, event processing
Examines issues related to streaming analytics and event processing technologies, including analytic tools and tactics, business insights, and use cases.
Saavn, India's biggest music streaming service, is an example of how companies can use big data technologies to maximize streaming analytics for big gains on …
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 …