June 1, 2023, 9 a.m. | Ashwin Rajeeva

InfoWorld Analytics www.infoworld.com



You can’t manage what you can’t measure. Just as software engineers need a comprehensive picture of the performance of applications and infrastructure, data engineers need a comprehensive picture of the performance of data systems. In other words, data engineers need data observability.

Data observability can help data engineers and their organizations ensure the reliability of their data pipelines, gain visibility into their data stacks (including infrastructure, applications, and users), and identify, investigate, prevent, and remediate data issues. Data observability can …

analytics applications data database data engineers data governance data management data stack engineers infrastructure modern data stack observability organizations performance reliability software software engineers stack systems words

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne