This guest post comes from Neha Narkhede, co-founder and CTO at Confluent, a startup focused on Apache Kafka and founded by its creators. Data systems in the modern world aren't islands that stand on ...
When it comes to running a successful business, gaining competitive advantage is everything. That said, pinpointing exactly what might give firms that ‘edge’ isn’t an exact science. It might be a new ...
Cloud-native streaming database startup RisingWave Labs Ltd. said today it has closed on a $36 million round of funding that brings its total amount raised to date to more than $40 million. Today’s ...
Previously, we introduced streaming, saw some of the benefits it can bring and discussed some of the architectural options and vendors / engines that can support streaming-oriented solutions. We now ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
In-memory data grids (IMDGs) historically have exceled in applications that require the fastest processing times and the lowest latencies. By adding a stream processing engine, called Jet, to its IMDG ...
In this special guest feature, Rob Malnati, COO of thatDot, explains the data debate between stream vs. batch processing. For companies to keep up with the pace of the increasing demand for digital ...
In-memory data grid provider Hazelcast Inc. is updating its Hazelcast Jet platform for stream processing with new features that should improve the accuracy of the data analysis it performs. Hazelcast ...
It is easy to come out of a presentation on “big data” these days thinking that the future of manufacturing information technology (IT) is a combination of three things: connected machines, data ...
Real-time data streaming is still early in its adoption, but over the next few years organizations with successful rollouts will gain a competitive advantage Today, there are many data sources—such at ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results