The AWS Developers Podcast Breaking data silos with Amazon Sagemaker Unified Studio
Jul 18, 2025
In this discussion with Dipali Kulshrestha, an AWS Hero and Cloud Data Leader in FinTech, she shares insights on transitioning from fragmented data silos to a unified platform using Amazon SageMaker Unified Studio and AWS DataZone. Topics include overcoming integration challenges, enhancing governance, and establishing an internal data marketplace. Dipali also highlights the importance of data classification in regulated industries and shares user feedback on SageMaker's transformative features, emphasizing effective data management and the potential for improved AI model development.
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Data Silos Hamper Innovation
- Dipali Kulshrestha shares her experience of dealing with scattered data in various legacy systems over 20 years.
- This fragmentation caused slow innovation and difficulties in accessing data for AI projects in her fintech company.
Data Lake Alone Isn't Enough
- Creating a centralized data lake on S3 solved storage issues but was insufficient for easy data access and integration.
- Tool integration and governance challenges remained after the data lake implementation.
AWS DataZone as Market Place
- Dipali describes how AWS DataZone enabled building an internal data marketplace for easy data discovery and governance.
- However, the tool integration challenge persisted until SageMaker Unified Studio was introduced.