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.
Topic: Streaming analytics, event processing
The ability to continually calculate statistical analytics within constant streams of multiple data coming from devices, sensors, websites, social media, and other applications.
Beyond Kafka: Current Conference Captures 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
Apache Kafka and RabbitMQ: Which Open Source Platform Will Fit My Needs?
By understanding the particular strengths of RabbitMQ and Apache Kafka, you can ensure that you’re using the right message queue platform for your use
What Is Change Data Capture and Why Should You Care?
Although CDC is not new, modern demands for real-time ingestion and serving the freshest possible data to applications gives you an opportunity to re-evaluate …
Architectural Elements for Streaming Edge Data Analysis
Working with streaming edge data requires a solution with multiple elements to ingest, store, and perform real-time stream analysis.
What’s the Difference Between Streaming Apps and Data-in-Motion?
Many streaming apps use cases help businesses first understand what is going on, and then provide the insights into what to do about
In 2022 and Beyond, the World Will Embrace Digital Twins
The global market for digital twins is expected to reach a value of $46.08 billion by 2026, registering a CAGR of 35.01% over the next five
Why Integration Is Essential for Modern, Real-time Applications
Integration is the only way to ensure that your real-time data is being used at the right time, in the right context, to help people make better
