Shanku Niyogi

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Articles

Introducing Databricks Apps

Oct 8, 2024 | databricks.com | André Bueno |Patrick Wendell |Shanku Niyogi |Akhil Gupta

The fastest and most secure way to build data and AI applicationsDatabricks Apps, a new way to build and deploy internal data and AI applications, is now available in Public Preview on AWS and Azure. Ideal use cases include data visualization, AI applications, self-service analytics, and data quality monitoring. It supports Dash, Shiny, Gradio, Streamlit, and Flask app development frameworks. Automatic provisioning of serverless compute provides easy app deployment.
Databricks and Posit announce new integrations, simplifying Lakehouse access for developers

Jul 20, 2023 | databricks.com | Shanku Niyogi |Eric Pité |Matei Zaharia

Today, Databricks and Posit are thrilled to announce a strategic partnership to provide R and Python developers with an simplified development experience when working with Databricks. To meet this goal, we are collaborating with product and engineering teams at Posit to deliver an enhanced integration between Posit Workbench and Databricks, support for Spark Connect in R, and the hosting of Posit Workbench on the Databricks Marketplace.
What’s New with Data Sharing and Collaboration on the Lakehouse

Jun 28, 2023 | databricks.com | Matei Zaharia |Shanku Niyogi |Prem Prakash

Expanding our Delta Sharing ecosystem, Databricks Marketplace is generally available and Databricks Clean Rooms is in Private Preview on AWS. by Zaheera Valani, Steve Mahoney, Jay Bhankharia, Darshana Sivakumar, Erika Ehrli, Sachin Thakur, Kelly Albano and Cassie MiaoJune 28, 2023 in Platform BlogDatabricks provides the first open source approach to data sharing and collaboration across data, analytics, and AI.
Introducing Lakehouse Apps

Jun 21, 2023 | databricks.com | Matei Zaharia |Shanku Niyogi |Prem Prakash

Build Secure Native Data and AI Applications Without Compromiseby Matei Zaharia, Shanku Niyogi and Prem PrakashJune 21, 2023 in Platform BlogLakehouse Apps is a new way to build native applications for Databricks. Lakehouse Apps will offer the most secure way to build, distribute, and run innovative data and AI applications directly on the Databricks Lakehouse Platform, next to the customer’s data, with the full security and governance capabilities of Databricks.