Skip to main content
Databricks at the Tableau Conference 2020 Our session Our page

The Tableau Conference 2020 begins tomorrow, with our session Databricks: Data Science & Analytics for Data Lakes at 1:30 PM PDT. In this session, Ameya Malondkar and Yana Yang from Flipp, a joint customer using Dataricks and Tableau together, will present how they enable all their analysts to access and analyze their entire data lake. They have a great story about their journey to a modern cloud data platform that data driven teams aspire to create!

Flipp is utilizing a Lakehouse data management paradigm on Databricks and Delta Lake that enables them to get data into the system fast, to progressively refine it, and to deliver it to multiple audiences depending upon their use cases. Business analysts and sales teams can see how partners and customers are progressing, data science teams can build powerful predictive analytics, and engineering teams can create new product features. The Lakehouse approach makes all the data in the data lake available to these groups for both regular reporting and for ad-hoc investigations.

The Flipp team will talk through their data pipelines on Delta Lake, and how their data is refined through bronze, silver and gold stages. They’ll also cover a number of analytics use cases, with sample visualizations to show how they represent the data.

Flipp use case: Tableau reporting expedited by the use of the Databricks’ Lakehouse architecture

You can find out more about Databricks and our presence at the Tableau conference on the Databricks Tableau Conference page. We have some cool games and the ability to win a limited edition t-shirt!

Learn More About Databricks at Tableau Conference.

Try Databricks for free

Related posts

Automate and Fast-track Data Lake and Cloud ETL with Databricks and StreamSets

November 6, 2019 by Hiral Jasani and Nauman Fakhar in
Get an early preview of O'Reilly's new ebook for the step-by-step guidance you need to start using Delta Lake. Data lake ingestion is...

A data architecture pattern to maximize the value of the Lakehouse

One of Lakehouse's outstanding achievements is the ability to combine workloads for modern use cases, such as traditional BI, machine learning & AI...

Top Four Characteristics of Successful Data and AI-driven Companies

At Databricks, we have had the opportunity to help thousands of organizations modernize their data architectures to be cloud-first and extract value from...
See all Company Blog posts