Razi Sharir

VP of Product Management, Data, Tableau

Razi Sharir joined Tableau as the VP of Product Management in 2020. Prior to Tableau, he was the VP of PM at Informatica, leading Data Management on-pre mand cloud. Prior to Informatica, Razi was the VP of Products and Marketing at Robin, developing world first hyper converged Kubernetes decoupled storage and compute platform. Prior experiences include Xeround DBaaS (at the time the most popular service second to AWS), developing and running BMC Innovation Lab and early on at Microsoft.

Razi holds a Masters in Business (MBA/marketing) and a Masters in Philosophy.

Past sessions

Summit 2021 Gain 3 Benefits with Delta Sharing

May 26, 2021 05:00 PM PT

Following Matei Zaharia's keynote presentation, join this session for the nitty gritty details. Tableau is joining forces with Databricks and the Delta Lake open source community to announce Delta Sharing and the new open Delta Sharing protocol for secure data sharing. For Tableau customers, Delta Sharing simplifies and enriches data, while supporting the development of a data culture. Join this session to see a live demo of Tableau on Delta Sharing. Tableau customers can choose between 2 workflows for connection. The first workflow is called “Direct Connect,” which leverages a Tableau WDC connector. The second workflow involves using a hybrid approach for querying live on the Delta Sharing protocol and using Tableau Hyper in-memory data engine for fast data ingestion and analytical query processing.


In this session watch:
Razi Sharir, VP of Product Management, Data, Tableau
Blair Hutchinson, Product Manager, Tableau


Summit 2019 Successful AI/ML Projects with End-to-End Data Management

April 23, 2019 05:00 PM PT

Trusted, high-quality data and efficient use of data engineers’ time are critical success factors for AI/ML projects. Enterprise data is complex—it comes from several sources, in a variety of formats, and at varied speeds. For your machine learning projects on Apache Spark, you need a holistic approach to data management: finding & discovering, ingesting & integrating, serverless processing at scale, and data governance. Stop by this session for an overview and demo (we’ll showcase a fraud detection use case) on how to set up AI/ML projects for success while Informatica takes the heavy lifting out of your data management.

Razi Sharir