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Show Notes:

(00:02:32) - (First Question) - What Databricks is and why it is so successful

(00:04:38) - Real world examples of how customers use Databricks

(00:07:23) - How issues were handled historically before Databricks was available

(00:08:39) - Key examples of what helped accelerate Databricks’ success

(00:10:52) - Databricks revenue model and how it converts into bottomline

(00:12:13) - How Databricks competes with competitors like Snowflake

(00:14:11) - Competition versus symbiosis when compared to large organizations

(00:14:11) - The overall size of Databricks as a business

(00:18:09) - Costs incurred when using a database service like Databricks

(00:19:47) - The founding story of Databricks

(00:22:53) - When SineWave recognized the databases potential

(00:24:29) - The importance of partnerships and how they help grow the business

(00:27:07) - Legacy solutions that they are disintermediating or replacing in their growth

(00:27:57) - What being Hadoop’d means

(00:21:50) - A breakdown of the complexity behind switching to different database providers

(00:32:07) - The success of these businesses breaking into legacy regulated industries

(00:34:47) - Why AI is so impactful to the database

(00:37:40) - How AI is helping these businesses go to market with their software

(00:39:50) - Democratization of data access and businesses taking the opposite approach

(00:43:00) - Key reasons for investing in Databricks and potential risks to be considered

(00:46:12) - Lessons learned from studying Databricks