Data products are integral to modern data and machine learning and are critical for improving collaboration between data producers and end-users, enhancing productivity, and delivering an exceptional customer experience. By adopting a product mindset to data , organizations can meet customer expectations, break down silos between different teams, and deliver data products in various forms, such as dashboards, reports, and predictive models.
In this session, we will cover essential aspects of data products, such as what constitutes a data product, the anatomy of data products, the lifecycle of data products and how we should go about building the Minimum Viable Data Products with Talend followed by Q&A
During this session we will discuss on
• What is a Data Product
• Anatomy of a Data Product - the non negotiables: Repeatable & Consistent Experience, Meets the Expected Quality, Packaging & Experience, Reduced friction to consumption
• Lifecycle of Data Products & Walkthrough of some example Data products
• Data Product Infrastructure
• Building your MVP Data Products with Talend
• Q&A
Aswin’s is an expert in data management and has a decade of experience working with customers & Partners worldwide during his tenure at Informatica, SAS & Talend.
At Talend, Aswin heads the GSI Solution Architect function and leading efforts to build solutions with partners. Aswin is a respected thought leader in the industry. As a testament to his leadership, Aswin founded and runs the Data Heroes Community, where he collaborates with industry leaders to provide thought leadership content to a global audience.
As a contributing editor with Data Engineering Weekly, Aswin continues to share his insights and knowledge on data management, data engineering, and related topics, helping readers stay up-to-date with the latest trends and best practices.