In the JVS low-code development platform, there is a capability that allows for quick echoing of multiple data entries by ...

Batch processing, a long-established model, involves accumulating data and processing it in periodic batches upon receiving user query requests. Stream processing, on the other hand, continuously ...

At QCon NY, Shriya Arora presented “Personalising Netflix with Streaming Datasets” and discussed a migration of a data processing job from batch-style ETL to stream processing using Apache Flink.

Confluent, Inc., the data streaming pioneer, announced new Confluent Cloud capabilities that make it easier to process and secure data for faster insights and decision-making. Snapshot queries ...

The feature ensures that data is correct, although recovering from a crash is somewhat more involved than in a batch processing scenario.

In this manner, Lambda satisfied the data processing needs for a certain class of applications that valued high-throughput, low-latency, fault-tolerance, and data accuracy. Many organizations—in ...

Anthropic's new Message Batches API cuts costs for big AI tasks by half, making advanced data analysis more affordable for businesses and changing how companies use AI.

The new DeltaStream Fusion Unified Analytics Platform empowers organizations to process both real-time and historical data in one place seamlessly.

Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

Watlow has added a batch processing feature to its powerful F4T temperature and process controller and D4T data logger.