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Bruno Aziza – Head of Data and Analytics at Google Cloud – has a unique expert perspective on the data industry through his work with data executives and visionaries while managing a broad portfolio of products at Google including BigQuery, Dataflow, Dataproc, Looker, Data Studio, PubSub, Composer, Data Fusion, Catalog, Dataform, Dataprep and Dataplex.
In this episode, Bruno we dive into topics such as the development (and disappointment) of Data Mesh, how it relates to Data Products, along with how data leaders can transform their organizations by first looking inward and transforming one's self.
We also speak to why Chief Data Officers are navigating from 'reactive analytics' to data products that are driven by real-time.
Follow Bruno Aziza on Linkedin, Twitter, and Medium.
What's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.
By Striim5
88 ratings
Bruno Aziza – Head of Data and Analytics at Google Cloud – has a unique expert perspective on the data industry through his work with data executives and visionaries while managing a broad portfolio of products at Google including BigQuery, Dataflow, Dataproc, Looker, Data Studio, PubSub, Composer, Data Fusion, Catalog, Dataform, Dataprep and Dataplex.
In this episode, Bruno we dive into topics such as the development (and disappointment) of Data Mesh, how it relates to Data Products, along with how data leaders can transform their organizations by first looking inward and transforming one's self.
We also speak to why Chief Data Officers are navigating from 'reactive analytics' to data products that are driven by real-time.
Follow Bruno Aziza on Linkedin, Twitter, and Medium.
What's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.

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