Feeding Data to ML Models

Use Observability Pipelines to identify, tag, and optionally redact or hash sensitive information before routing logs to different destinations and outside of ... Nov 2, 2023 ... In the world of distributed streaming data and event-driven architectures, Confluent Kafka has emerged as a powerful and widely adopted ... reads logs, metrics, and traces from Kafka. For example, here is a configuration that reads all Kafka data: Copy. receivers: ... Implemented real-time data streaming with Apache Kafka, enabling early fraud detection and reducing claim processing time from days to hours ... Sep 13, 2021 ... ... data tools, Kafka and Elasticsearch. Our goal is to analyze the performance obtained when varying the degree of parallelism and the data ... More than just a message broker, Kafka is a distributed streaming platform. Kafka's three main features are: Storing stream of data in the orderly fashion ... external Kafka data source for reading input log data. Because the log data ... informational elements. The Spark SQL Consumer component aims to apply ... Sep 3, 2024 ... Kafka is an open-source and distributed event streaming platform for high-performance data pipelines and streaming analytics. Deploy NetScaler ... Sep 18, 2024 ... By delivering consumable data to analytics applications, ETL tools or event streaming platforms such as Apache Kafka, this new offering unlocks ... Jul 13, 2023 ... Splunk Connect for Kafka is a sink connector that allows a Splunk software administrator to subscribe to a Kafka topic and stream the data to the Splunk HTTP ...