In a previous blog of this series, Turning Streams Into Data Products, we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. We discussed how Cloudera Stream Processing (CSP) with Apache Kafka and Apache Flink could be used to process this data in real time and at scale. In this blog we will show a real example of how that is done, looking at how we can use CSP to perform real-time fraud detection.
An in-depth look at how to run an iOS app on the cloud with Xcode 14 beta and the M1 Apple Silicon chip.
The rise of the CI/CD methodologies and frameworks have shaped the daily work of application developers and testers. It allowed for the creation of the DevOps model. DevOps culture demanding “everything as code”, modern infrastructure tooling has grown to drive the management and configuration of infrastructure components “as code” alike.
Earlier in the quarter we had announced that BigQuery BI Engine support for all BI and custom applications was generally available. Today we are excited to announce the preview launch of Preferred Tables support in BigQuery BI Engine! BI Engine is an in-memory analysis service that helps customers get low latency performance for their queries across all BI tools that connect to BigQuery.
