As organizations increasingly rely on data to drive decisions, many are migrating to cloud-based platforms like Snowflake to overcome the limitations of traditional data warehouses. This shift is driven by the need for greater scalability and agility, and migrating to the cloud requires a strategic approach. First, organizations must develop a clear strategy for adopting the cloud and optimizing their data platforms, ensuring a smooth transition. Modernizing data engineering practices is essential, including building scalable data pipelines and employing advanced data modeling techniques to support complex analytical needs. Additionally, integrating AI and analytics capabilities into the cloud infrastructure is key, enabling predictive modeling, machine learning, and real-time insights. Finally, robust data governance and security frameworks must be established to protect sensitive data, ensure quality, and meet regulatory compliance.
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Accelerating Data Migration to Cloud Platforms: Ensuring Quality, Scalability, and Governance at Scale
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Agenda
January 30, 20253:00 PM-4:15 PM
Accelerating Data Migration to Cloud Platforms: Ensuring Quality, Scalability, and Governance at Scale
Speakers
Speaker
Sachin Narang
Senior Director - Data Warehouse
Tiger Analytics
Speaker
Jonathan Regenstein
AI Principle for Financial Services
Snowflake
Speaker
Shadaab Kanwal
MD of Digital, Data, & Analytics
Charles Schwab
Speaker
Sujay Mudalgi
Director, Data Management and Architecture
Pacific Life
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