Real-time Data Integration: A Game-Changer for Mobile App Developers
Incorporating real-time data into mobile app development isn't just about delivering data faster. It's about creating more engaging, personalized, and …
Topic: Stream Processing
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.
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.
Real-time Analytics News for the Week Ending November 11
In this week's real-time analytics news: IBM announced it will launch a $500 million AI venture fund.
How to Select a Streaming Platform: A Practical Guide
With stream processing flipping the data processing paradigm from store then process to process then store, the critical capabilities to evaluate when building …
Beyond Kafka: Capturing the Data-in-motion Industry Pulse
To fully participate in today’s data-in-motion world requires that a data streaming platform be part of every company’s
Real-time Analytics News for the Week Ending September 30
In this week's real-time analytics news: Confluent made a number of announcements at its Current 2023 conference.
Kafka Training is Essential in Today’s Real-time World
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
Perspectives on Real-time and GenAI Convergence
Here, we've collected the forward-looking thoughts of some of the leaders in the real-time analytics space participating in Current
12 Streaming Analytics Solutions to Consider in 2024
In 2024, businesses will have an array of powerful streaming analytics solutions to choose from, each with its own unique features and capabilities.
Essential Elements of a Stream Processing Platform
Stream processing acts on the constant flow of real-time data allowing businesses to shift their operations toward real-time