Data

Streaming data platforms like Kafka, Pulsar, and Kinesis are now common in mainstream enterprise architectures, providing low-latency real-time messaging for analytics and applications.

  Data-as-a-service is a company category type that is not as common as API-as-a-service, software-as-a-service, or platform-as-a-service. In order to vend data, a data-as-a-service

Data labeling allows machine learning algorithms to find patterns among the data. There are a variety of data labeling platforms that enable humans to apply labels to this data and ready

Real-time analytics are difficult to achieve because large amounts of data must be integrated into a data set as that data streams in. As the world moved from batch analytics powered by

Data loss can occur when large data sources such as Slack or Google Drive get leaked. In order to detect and avoid leaks, a data asset graph can be built to understand the risks of a