Webinar: Blending Snowflake & Databricks at Janus Henderson Investments

Snowflake and Databricks are the leading cloud data platforms on the market today. Many companies operate both platforms, even if they've standardized on one or the other. That's because Databricks was initially optimized for data lakes and data science while Snowflake was optimized for data warehousing and business intelligence. As fierce competitors, both have addressed gaps relative to each other and offer a degree of interoperability thanks to open source table formats, such as Apache Iceberg and Delta Lake.

This webinar will explore real-world strategies used by Janus Henderson Investments for integrating the strengths of Snowflake’s cloud data platform with Databricks’ advanced analytics and machine learning capabilities into a unified environment. The session will discuss best practices for data movement, governance, and workload optimization across platforms. It will also discuss common challenges and architectural considerations to ensure scalability, efficiency, and cost-effectiveness of a cross-platform environment.

Geared to: data engineers, data architects, and data analysts

You Will Learn:

-The pros and cons of building and maintaining a hybrid data environment.

-The pros and cons of Snowflake and Databricks

-Techniques for optimizing workloads across both environments.

-Techniques to ensure seamless data movement, governance, and scalability.

-How to minimize expenditures in a hybrid data environment.

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