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 …
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.
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
How do you combine historical Big Data with machine learning for real-time analytics? An approach is outlined with different software vendors, business use …
How do you perform analytics on data streaming from edge devices? IBM discusses their latest project, Quarks, now an Apache incubator
Apache Spark offers fast speeds, integration with a variety of programming languages, and flexibility. But Spark vs. Hadoop MapReduce is not an either-or
Current approaches to complex event recognition have various tradeoffs. In this white paper, the benefits and limits of various CER approaches are discussed.