Data Streaming’s Importance in AI Applications
Confluent's Current conference highlighted the critical role of data streaming in addressing the real-time data needs of AI.
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.
Enabling Low-latency Decision-making for Capital Markets Organizations
A talk with KX CEO Ashok Reddy about the need for a single platform that includes processing, analyzing, building models, and visualizing to enable low-latency …
What Exactly is a Unified Real-time Platform
URPs are motivated by escalating business demands for smarter operational applications that can leverage up-to-the-second data to make faster and better …
Four Kinds of Software to Process Streaming Data in Real Time
A look at the four kinds of software that perform real-time analytics on event streams and when to use
Do You Need to Process Data “In Motion” to Operate in Real Time?
Quick answer: No, you don’t always need data in motion to operate in real time. However, some high volume/low latency real-time systems do use data in motion …
Want AI? It’s Going to Require a Healthy Dose of Real-Time Data Streaming
AI and machine learning are going to shake up how companies operate, and streaming data amplifies the leverage that can be gained from these powerful
KRaft Mode Project Aims to Simplify Kafka Architecture
Promising developments, including KRaft, simplified protocols, two-phase commit support, Docker images, GraalVM support, and Kafka queues, will solidify …
The Evolving Technical Architecture of Apache Kafka
Kafka Streams is pivotal to Kafka's evolution, enabling it to adapt to scalability and performance demands.
The Technical Evolution of Apache Kafka: From LinkedIn’s Need to a Global Standard
Today, Apache Kafka is a widely used technology, with applications ranging from real-time data processing to stream processing, event sourcing, and messaging …
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 …