Overview Today’s guest is Dipti Borkar, Vice President and General Manager, SaaS, Azure Databases at Microsoft. Prior to joining Microsoft, Dipti was the Founder and Creator of Ahana, a cloud managed service. Dipit has vast experience working in startups such as Counchbase, and Marklogic, and began her career working as a software engineer for IBM. In today’s episode, Dipti shares how Databases have evolved over the past 15 years, her predictions for the future of technology and provides actionable advice for those looking to start a career in technology. About Dipti Borkar Dipti is a senior technology executive and entrepreneur with over 18 years of experience in cloud, open source and distributed data / database tech including relational, NoSQL, and federated systems.  Dipti is the Vice President & General Manager at Azure Data, Microsoft where she leads product and engineering teams to make cloud databases simple and smart. She founded Ahana and created a cloud managed service for SQL on data lakes where she played many roles including Chief Product Officer and VP of Cloud / Open source engineering. Prior to Ahana, she held various different executive roles at Alluxio, Couchbase and IBM. At Couchbase she held several leadership positions over the years leading and building out the product, engineering and world-wide solutions engineering teams. At IBM, Dipti managed large world-wide dev teams for DB2 Distributed where she also started her career as a software engineer in the DB2 LUW kernel. She also served as Chairperson of the Linux Foundation / Presto Foundation community for many years. Dipti holds a MS in Computer Science from UC San Diego with a specialization in databases and holds an MBA from the Haas School of Business at UC Berkeley. She is very passionate about empowering and mentoring women in tech and open source. Learn more about our mission and become a member here: https://www.womenindata.org/ All Data Bytes listeners get 20% off of WiD membership by using the code: DATABYTES20 --- Support this podcast: https://anchor.fm/women-in-data/support