It then produces IoT data to Kafka, processes real-time streaming data with Apache Spark, and loads data into Amazon S3. The final stage involves utilizing AWS Glue Crawlers to catalog the data, ...

• The data is inserted into AWS DynamoDB. Data Streaming & Transformation • DynamoDB Streams captures changes and forwards them to AWS Kinesis Firehose. • A Lambda function (lambda_transformer.py) ...

If your processing requirements is basic, using Kafka with Kafka Streams may be sufficient. If you need native processing, Storm and Flint are more mature than Spark Streaming.

Apache Kafka and other real-time streaming platforms are important to the technology infrastructure as they collect the multiple CDC data streams and move the data to one or more targets. And as ...

Confluent, founded by the creators of Apache™ Kafka™, today announced the general availability of open source Confluent Platform 3.0. The new release introduces Kafka Streams, a powerful ...

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 ...

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 ...

In a world driven by instant access to information, businesses must process and analyze data in real time to maintain a competitive edge. The days of relying solely on batch processing—handling data ...