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 ...

Kafka enables the building of streaming data pipelines from “source” to “sink” through the Kafka Connect API and the Kafka Streams API Logs unify batch and stream processing.

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 ...

Estuary offers a "data operations platform" that combines the benefits of batch and stream processing data pipelines.

This is where batch processing comes up short. Our survey revealed that 99% of respondents think it's important to process and act on data as quickly as possible.

As AI shifts from experimental phases to mission-critical roles—such as fraud detection, live recommendation engines, and ...

Bruce Thelen discusses how CoreLogic implemented a batch processing system on Pivotal Cloud Foundry with Spring Cloud Data Flow Server, Spring Task, and Spring Batch.

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

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

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 ...