What is streaming in big data processing, why you should care, and what are your options to make this work for you? Written by George Anadiotis, Contributor Jan. 25, 2017 at 9:50 a.m. PT.

For example, the Zoomdata Server (which is largely based on Spark) can pull data from Hadoop, NoSQL stores, cloud apps, and traditional data warehouses, and make it available in the visual data ...

Streaming data, also called event stream processing, is usually discussed in the context of big data. It is data that is generated continuously, often by thousands of data sources, such as sensors ...

Revisiting the Three V's of Big Data It's time to revisit that original post from July 4th, ... Key technologies that address velocity include streaming processing and complex event processing.

SnappyData's open source platform, which has just released its generally available version 1.0, is built on Spark and aims to unify transactional, analytical, and streaming data processing.

SINGAPORE, Feb. 2, 2024 — Ververica, a leading player in the data analytics and stream processing industry, showcased its leadership in the industry by participating in the AliCloud AI and Big Data ...

With the new offering, businesses can now access a fully managed version of the real-time data stream processing platform on Amazon Web Services, Google Cloud and Microsoft Azure.

Popular stream processing tools like Apache Flink and Samza require multiple big data services and use Java-based APIs that can be difficult to learn.

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 ...

Confluent Inc. today announced expanded capabilities for its managed service for Apache Flink, the open-source big data processing framework.Unlike the regular open-source Flink, it comes with a n ...