Infogix, a leading provider of data management tools, today announced major upgrades to its highly-regarded Data360® data intelligence platform to help users validate the quality of streaming data and break down cross-departmental communication barriers with a new interactive browser.
Data360, Infogix’s integrated data intelligence platform with automated capabilities for data governance, data quality and data analytics, consumes and outputs Apache Kafka® messages in real-time, reconciling information between systems, applying data quality logic to streaming messages and quickly validating streaming messages to deliver high-quality data that users trust. As streaming messaging systems, like Apache Kafka, communicate changes to data in real-time, organizations require end-to-end data validation to maximize the speed and scale of streaming platforms.
“Apache Kafka addresses the critical needs of today’s data users by immediately sending new or updated data from the source system to the target system. However, as organizations continue to invest in Apache Kafka, they are unable to monitor data volumes for anomalies, which could affect decision-making and business outcomes,” said Emily Washington, executive vice president of product management at Infogix. “Event-driven frameworks that allow the transfer of data in real-time are the future of digital-first enterprises and will act as a critical component to their data fabric.”
