Shell has become a world leader in analytics, driving huge gains in safety and maintenance that save lives and resources. With a limited number of data scientists in the world, Shell realized that in order to maintain and scale their analytics success, they needed to expand the capabilities of business analysts.
In this latest Data Science Central webinar, see how Shell uses Alteryx + Azure Databricks to address the biggest barriers to their success. Learn how to:
Design an analytic stack that leverages self-service analytics and allows users to do data science at the massive scale they require
Bridge the skills gap data analysts have and empower them to setup, configure, and maintain advanced analytics engines such as Apache Spark
Create a trust-based analytic culture where data scientists can craft reusable models that allow analysts to repeatedly run them with new datasets
Learn why Shell brought these two platforms together and how the collaboration improves the insight process. Then see Alteryx and Azure Databricks in action together to understand how your organization can replicate such success as well.
Chris Bridge, Sr. Data Engineer -- Shell Oil
Brian Dirking, Sr. Director -- Databricks
Nauman Fakhar, Director of ISV Solutions -- Databricks
Raman Kaler, Product & Alliance Manager -- Alteryx
Bill Vorhies, Editorial Director -- Data Science Central