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 ...

Stream processing complements other technologies such as a DWH and Hadoop in a big data architecture - this is not an "either/or" question. Stream processing has a great future and will become ...

Bain says in-memory data grids are particularly well suited for streaming data processing, because of their ability to not only ingest data fast, but also analyze them on the fly.

This final phase of convergence integrates streaming data and analytics to synchronize data flows and real-time responses. These examples bring to life what convergence can mean in the big data space.

BEDFORD, Mass., April 11, 2019 — VoltDB, the enterprise-class fast data processing platform that powers real-time intelligent decisions on streaming data, today announced the industry’s first Smart ...

The Spark streaming analytics engine is one of the most popular open source tools for weaving big data into modern applications architectures with over 800 contributors from 200 organizations. It ...

Stop spending on the ever-growing list of data technologies, and simplify your architecture with a single Streaming Data Warehouse. ... Big Data. Cloud. Advanced Network Solutions. Cloud 100 ...

In today’s data landscape, a distributed architecture is driven by the need for real-time insights, compliance, and the scalability provided by cloud computing, with organizations increasingly ...

Specialization: Software Architecture for Big Data; Instructor: Tyson Gern and Mike Barinek; Prior knowledge needed: Software engineering or big data experience View on Coursera Learning Outcomes ...

LAS VEGAS, NV--(Marketwired - Oct 15, 2013) - TUCON -- TIBCO Software Inc. (NASDAQ: TIBX) today announced a big data architecture that addresses the fundamental need for today's enterprises to ...