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 ...
The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
Stream All the Things: Patterns of Effective Data Stream Processing Explored by Adi Polak at QCon SF
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 ...
VoltDB, the enterprise-class fast data processing platform that powers real-time intelligent decisions on streaming data, announced a new Smart Stream Processing Architecture to support fast data ...
As the world becomes increasingly more demanding in the ways it consumes any form of content, data is no stranger to this phenomenon. The emphasis on real-time, streaming data, as well as IoT, has ...
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 ...
Attention business leaders: We’ve just reached another inflection point of how data can be used to drive better business results. This is the era of streaming data. The Internet giants have ...
A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.
In this special guest feature, Rob Malnati, COO of thatDot, explains the data debate between stream vs. batch processing. Rob is a repeat entrepreneur focused on enterprise infrastructure as software.
IBM is betting $11 billion that real-time data infrastructure will become as critical to AI deployments as databases were to enterprise applications. The company's just-announced acquisition of ...
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