Top 5 Data & Analytics Launches from Next 2022 with Bruno Aziza and Maire Newton

Description

Debi Cabrera and Stephanie Wong have more great Next content this week as we focus on launches specifically related to data and analytics with guests Bruno Aziza and Maire Newton. We start the episode with a look at current customer trends in data, including tools for increasing efficiency when working with many different types of data. Data governance and security is another area where Bruno sees advances in satisfying customer needs. Maire talks about the steps Google is taking to help customers implement knowledge gained with data, including Looker and new integrations with tools like Looker Studio to easily connect tools for better data access and use. Strategic partnerships with companies like Tableau help accomplish these goals as well. With 21 data and analytics launches at Next, exciting solutions are out there for customers. Bruno and Maire highlight their five favorites, like BigQuery support for unstructured data, allowing analysts working with SQL to do more with more data. To simplify workflows, BigQuery integration with Spark is a new feature that Maire tells us about, and we hear more about BigLake and it’s increased format support. Data reaches more people easier now with Connected Sheets available for anyone using Google Workspace, and finally we talk more about Looker. Bruno details the four use cases of business intelligence customers and how Google’s suite of data products satisfy their needs for a reasonable price. Bruno Aziza Bruno is head of data and analytics for Google Cloud and leads the outbound product management team. He has more than two decades’ of Silicon Valley experience, specializing in scaling businesses, and has written two books on Data Analytics and Enterprise Performance Management. Maire Newton Maire is an Outbound Product Manager at Google Cloud with almost 15 years of experience partnering with organizations to develop data solutions and drive digital transformation. She’s passionate about helping customers develop data-driven cultures by using technology to meet users w