This lets companies migrate and connect data in real-time to services including Amazon Simple Storage Service (S3), Amazon Redshift, Amazon DynamoDB, Amazon Lambda, and more with 120+ pre ...

streaming data processing software typically analyzes the data incrementally, and performs real-time aggregation and correlation, filtering, or sampling. The stream is often stored as well, so ...

Originally developed at LinkedIn, Apache Kafka is one of the most mature platforms for event streaming. Kafka is used for high-performance data pipelines, streaming analytics, data integration ...

In this eBook from AWS and Confluent, discover when and how to deploy Apache Kafka on your enterprise to harness your data, respond in real-time, and make faster, more informed decisions. This ...

Kafka Streams is suited for processing events in Kafka but at LinkedIn, we need an ability to process events from/to different systems such as Azure EventHubs, AWS Kinesis etc.

Confluent’s Kafka story. Over a decade ago, organizations heavily relied on batch data for analytical workloads. The approach worked, but it meant understanding and driving value only from ...

Lightbend, which develops a real-time streaming data stack based on Akka technology, commissioned The New Stack to query 804 IT professionals about their use of real-time stream data processing. The ...

CDC: This technology uses log-based extraction to create new streams and perform in-stream analytics. Real-time: Streaming happens in real-time windows on real-time data, one record at a time. By ...

Amazon’s AWS cloud computing platform today launched Kinesis Analytics, a new service that makes it easier to analyze real-time streaming data with the help of standard SQL queries. Kinesis ...

Kafka has a nearly 39% market share in the fragmented queueing, messaging and background processing market, according to 6sense Insights Inc. It’s used by more than 80% of Fortune 100 companies.