Join the next episode of Data Collab Lab.
Are you struggling with getting good performance at a reasonable price in the cloud with your BI stack? Do you use PowerBI for dashboards, but the data warehouse you have it connected to only gets loaded nightly, and you want fresher data? Join us as Tori and Max show us how to super power your PowerBI experience on Lakehouse with Databricks SQL!
Guests:
Tori McCunn is a Solutions Architect with deep experience in business intelligence and data architecture. She enjoys helping teams solve difficult problems with data.
Max Nienu is a Solutions Architect at Databricks, who has over a decade of industry experience in BI and Analytics. He has worked with small and big data applications utilizing Java, C#, VB, Scala, Apache Spark and SQL while working closely with data scientists and business analysts. Prior to Databricks, Max worked as a Data Engineer and Architect with companies in Mortgage, Telco, Education, Finance and Non-profit industries.
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John O'Dwyer is a Developer Advocate at Databricks.
Franco Patano is a Solutions Architect at Databricks, where he brings over 10 years of industry experience in data engineering and analytics. He has architected, managed, and analyzed data applications both big and small, with open source and proprietary software, utilizing SQL, Python, Scala, Java, and Apache Spark, as well as experimenting with data science. Prior to Databricks, Franco worked as a Data Architect and Analyst in the Commercial Real Estate, Banking, and Education industries for organizations large and small. Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. [ Ссылка ]
