How Smartsheet operationalized Apache Spark with Databricks
Francis Lau, Senior Director, Product Intelligence at Smartsheet
About this talk
Apache Spark is red hot, but without the compulsory skillsets, it can be a challenge to operationalize — making it difficult to build a robust production data pipeline that business users and data scientists across your company can use to unearth insights.
Smartsheet is the world’s leading SaaS platform for managing and automating collaborative work. With over 90,000 companies and millions of users, it helps teams get work done ranging from managing simple task lists to orchestrating the largest sporting events and construction projects.
In this webinar, you will learn how Smartsheet uses Databricks to overcome the complexities of Spark to build their own analysis platform that enables self-service insights at will, scale, and speed to better understand their customers’ diverse use cases. They will share valuable patterns and lessons learned in both technical and adoption areas to show how they achieved this, including:
How to build a robust metadata-driven data pipeline that processes application and business systems data to provide a 360 view of customers and to drive smarter business systems integrations.
How to provide an intuitive and valuable “pyramid” of datasets usable by both technical and business users.
Their roll-out approach and materials used for company-wide adoption allowing users to go from zero to insights with Spark and Databricks in minutes.
No matter at what stage of your data journey you’re in, this channel will help you get a better understanding of the fundamental concepts of the Databricks Lakehouse platform and the problems we’re helping to solve for data teams.…