How SAP Business Data Cloud is Transforming Data Science w/ Databricks and AI

About this episode

The episode discusses how SAP Business Data Cloud and Databricks are transforming the data science workflow by addressing real-world challenges faced by data scientists.

In this episode of Let’s Talk Data, host Jose Chicas sits down with Leona Hasani, Product Manager for SAP Business Data Cloud and former data scientist, to explore how modern data platforms are transforming the data science workflow. The conversation dives into the real-world challenges data scientists face—from fragmented data access and lack of business context to time-consuming data preparation and trust issues with datasets. Leona outlines the end-to-end data science lifecycle, emphasizing that up to 70% of a data scientist’s time is spent on data cleaning and preparation rather than modeling. She explains how SAP Business Data Cloud (BDC), combined with SAP Databricks, streamlines this process by providing ready-to-use, governed data products enriched with business context, definitions, and hierarchies. A key highlight is the concept of zero-copy data sharing, enabling real-time access to unified SAP and non-SAP data without duplication. This reduces latency, lowers costs, and ensures data consistency across teams. The discussion also explores how integrated tools like MLflow enhance model tracking, governance, and auditability—critical for enterprise and regulated…

People in this episode

Host: Jose Chicas

Guest: Leona Hasani

Topics covered

• data science
• data preparation
• data governance
• machine learning
• data platforms
• real-time data access

Keywords

• data cleaning
• data consistency
• zero-copy data sharing
• predictive analytics
• enterprise data
• data lifecycle

Mentioned in this episode

Organizations: SAP, Databricks

Products: SAP Business Data Cloud, MLflow

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