The data architecture is concerned with designing the in-motion streaming patterns most suited to a distributed application, with the at-rest stores — HDFS, Hbase, MongoDB, and so on –an ...

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 ...

Building a headless data architecture requires us to identify the work we’re already doing deep inside our data analytics plane, and shift it to the left.

It is not only tools such as Apache Spark Streaming or Apache Flink for low latency analytics of streaming data that have made this stream-based architecture possible. A fundamental requirement is a ...

Taking immediate action on sensor data is vital in modern Internet of Things (IoT) systems. Real-time streaming serves as the fundamental structure of IoT analytics because it enables automated ...

Stream Hatchet's proprietary system currently integrates data across 16 major live-streaming and social platforms, delivering real-time, actionable insights that empower clients like Capcom, Riot ...

The Streaming Analytics Market has emerged as a crucial component of the data analytics landscape, driven by the increasing importance of real-time data analysis in various industries.

Unisphere and DBTA, in partnership with Radiant Advisors, gathered real-world experts to discuss and evaluate popular data architecture plans in DBTA's recent webinar, 2023 Modern Data Architecture ...

RisingWave Labs, a company building a platform for streaming data processing, today announced that it raised 36 million in venture funding.

Life happens as a continuous flow of events (a stream). Ted Dunning and Ellen Friedman describe new designs for streaming data architecture that help you get real-time insights and greatly improve ...