Data products are an innovative, modern way of packaging curated datasets. They can be saved, published, searched for, and shared across teams. As such, data products are part of a paradigm shift toward viewing data-as-a-product. This methodological shift allows for increased sharing and collaboration by enhancing self-service access to data.
This shift impacts businesses that use data in many ways and sometimes marks a movement away from reliance on IT teams towards a greater emphasis on the business functions that own the data and know it best. In this way, you can think of data products as tools that improve data democratization within an organization.
This change can take many forms, including the data decentralization approach known as data mesh. However, there are other ways to use data products or data-as-a-product. The breadth of use cases is one of the many reasons that data products represent an exciting new future in Big Data, with a turn towards greater usefulness and accessibility.
Vishal Singh has more than 13 years of product & engineering leadership experience — he is passionate about exploring, understanding, and solving customers' problems. Vishal started his career as a big data software engineer and transitioned into product leadership over the years. Vishal drives and delivers for customers' pain points while mentoring, scaling, and growing a diverse product team. Vishal is currently Head of Products for Data Products at Starburst and is committed to helping customers unlock business value with their Data Mesh strategy.
Blending over 12 years of knowledge and expertise from leading scientific data processing and data platform solutions, Ryo Komatsuzaki brings a unique perspective to the data industry. He is passionate about working with customers to uncover and solve real business problems, leading to a track record of successful first-in-class product launches. Currently the Senior Product Manager for Data Products at Starburst, Ryo is committed to helping customers bring value and success with their Data Product initiatives.
With more than 20 years of experience in data analytics, Andy Mott is skilled at optimizing the utility of analytics within organizations. When determining how to generate value or fortifying existing revenue through technologies, Andy considers the alignment of an organization’s culture, structure and business processes. He ensures that the strategic direction of the organization will ultimately enable organizations to out compete their respective markets. In his spare time, Andy enjoys tinkering with his home Hadoop cluster and Linux is his preferred operating system. Andy Mott is currently EMEA head of partner solutions architecture and a Data Mesh lead at Starburst, and lives in the United Kingdom.
Up to $500 in usage credits included