Silicon Valley Expert Illuminates Path to Modern Data Systems at IEEE Conference

A senior engineer from Google in Silicon Valley shared his expertise at a major technology conference in Bangalore, giving researchers and professionals valuable insights into the future of data management.

The 3rd IEEE International Conference on Intelligent Technologies (CONIT-2023) took place in Hubli from June 23-25. The event featured Mahesh Kumar Goyal, Senior Data Engineer at Google LLC, as its keynote speaker. His presentation focused on one of the biggest challenges facing technology companies today: moving away from old centralized data systems to newer, more flexible solutions.

In his keynote on organizational shift towards modern eco-system, Mr. Goyal explained why traditional data lakes are becoming less effective for modern businesses. Data lakes have been the standard way to store information for years, but they create problems when everything is kept in one central location.

Mr. Goyal introduced the audience to Data Mesh, a new approach that spreads data ownership across different teams in an organization instead of keeping everything in one place. This method treats data as a product, with specific teams taking care of their own data areas. The system allows companies to work faster and more efficiently while maintaining quality standards.

The presentation stood out because of its practical focus. Using examples from Google’s work with large cloud systems, Mr. Goyal showed how companies can actually put these ideas into practice. Attendees learned how to set up governance rules that keep things organized while giving teams freedom to work independently. They also learned about building platforms that let teams access data on their own and managing the changes needed in company culture.

Conference organizers said Mr. Goyal’s participation was a major success in bringing real-world industry experience to academic researchers. His talk raised the quality of the event and gave researchers clear directions for future work. The conference showed how important it is for experts from different countries to share knowledge and work together to improve data engineering practices around the world.