SESSION
Best Practices for Architecting Data Collaboration At-Scale Across Clouds, Regions, Platforms
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Deep Dive |
TRACK | Data Sharing |
TECHNOLOGIES | Databricks Experience (DBX), Data Sharing |
SKILL LEVEL | Intermediate |
DURATION | 90 min |
DOWNLOAD SESSION SLIDES |
Join us for this deep-dive technical session to review best practices for architecting data collaboration at scale with Delta Sharing. In our 90-minute session, we explore Delta Sharing's core aspects in four segments:
- Data Replication Strategies: We cover intra- and cross-account methods with a live demo, highlighting efficient data replication through our Cloudflare partnership.
- Security in Delta Sharing: Discussion on securing tabular data, volumes, and AI models, stressing the need for proper network and storage setups for safe data sharing across clouds.
- D2O (Databricks-to-Open): We examine D2O's role in facilitating access to delta shares via common and Python connectors, enhancing data integration across platforms like Bigquery.
- AI Model Sharing: We highlight the advantages of AI model sharing, notably its role in speeding up model inference and promoting computational efficiency.
Participants will gain insights into optimizing data replication, enhancing security, and leveraging AI model sharing.
SESSION SPEAKERS
Bhavin Kukadia
/Principal Solutions Architect
Databricks
Bilal Obeidat
/Product Specialist
Databricks