Improving Sensor Data and Telemetry Analysis
Apache Druid is designed for speed, scale, and streaming data, which makes it well-suited for use when analyzing sensor data.
This big data technology lets users query a continuous data stream and detect conditions — within a few milliseconds to minutes — after receiving that data (i.e. flow of events); processing data in motion, or computing on data directly as it’s produced or received.
Apache Druid is designed for speed, scale, and streaming data, which makes it well-suited for use when analyzing sensor data.
In this week's real-time analytics news: IBM announced it will launch a $500 million AI venture fund.
With stream processing flipping the data processing paradigm from store then process to process then store, the critical capabilities to evaluate when building …
To fully participate in today’s data-in-motion world requires that a data streaming platform be part of every company’s
In this week's real-time analytics news: Confluent made a number of announcements at its Current 2023 conference.
Many businesses lack the expertise in Apache Kafka's use. If that's the case with your organization, here are some sources for Kafka training and
Here, we've collected the forward-looking thoughts of some of the leaders in the real-time analytics space participating in Current
In 2024, businesses will have an array of powerful streaming analytics solutions to choose from, each with its own unique features and capabilities.
Stream processing acts on the constant flow of real-time data allowing businesses to shift their operations toward real-time
Retailers are looking to stream processing to personalize offerings in real time, activate dynamic pricing, and more.