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943: Looker – Big Data Analytics And Joining The Google Cloud Family

Businesses today are finding it increasingly valuable to share data beyond their own enterprise data warehouse — both inside and outside their organizations. Some are using data to surface key insights between departments or between companies, while others are using it to help monetize their data.

While historically data sharing has involved the copying and/or movement of large data sets, data warehouse vendors like Snowflake have made it easier than ever to share data between organizations or groups of organizations.   While the ability to share data with ease has increased, mechanisms for sharing the accompanying business logic and modes of analysis alongside the data itself are still lacking. This business logic is extremely valuable because it contains a consistent interpretation of the data, designed by data experts, that simplifies analyzes and unifies metrics between data consumers.

Daniel Mintz, Chief Data Evangelist at Looker, joins me to talk about how data sharing is transforming businesses and helping to provide a competitive edge. We also talk about their recent announcement that Looker is joining the Google Family

Throughout his career, Daniel Mintz has focused on how people interact with data and how they can use it to get better at what they do. He’s passionate about the way analytics can help tackle the world’s toughest challenges. Previously, he was Head of Data & Analytics at fast-growing media startup Upworthy. Before that, he was Director of Analytics at political powerhouse

Daniel has appeared in numerous media venues, from NPR’s All Things Considered to MSNBC’s The Last Word to The New York Times and The Washington Post. He is a regular speaker at conferences including Google NEXT, AWS re Invent, eMetrics, the Big Data Innovation Summit.



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