Big data is a moving target, and it comes in waves: before the dust from each wave has settled, new waves in data processing paradigms rise. Streaming, aka real-time / unbounded data processing ...

You can solve this streaming problem by modeling what is, in reality, an unbounded stream as periodically-arriving bounded data sets. Or the stream might arrive in higher-latency intervals (say ...

Data streaming. Data streaming is data flowing continuously from a source to a destination for processing and analysis in real-time or near real-time. ... Data architecture vs. data modeling.

Confluent, Inc., the enterprise event-streaming platform pioneer, today announced the closing of a $125 million Series D round led by Sequoia Capital, ...

Guillaume Aymé is CEO of Lenses.io, a pioneer in the streaming market that has transformed the way engineers work with real-time data. AI’s adoption rate is expected to dramatically accelerate ...

Data Stream Processing and Streaming Analytics - In contrast to the traditional database model where data is stored, indexed and subsequently queried, stream processing takes the inbound data while it ...

Cribl Stream collects, analyzes, processes and routes log, metric, trace, event and alert data from IT and security systems – a critical element of IT observability, systems management and ...