Missing the expertise needed to make the transition to Snowflake.
After ten months into the migration process, Putnam’s in-house team was still missing a consolidated data strategy.
Proven expertise in migrating from Cloudera to Snowflake.
Ability to create a business case to validate costs savings.
Experience with building a data warehouse with Snowflake on AWS.
Our team took a fresh approach to develop Putnam’s overall data strategy and helped the firm decide to implement Snowflake on AWS to replace their on-premises data lake built on Cloudera’s Distribution of Hadoop platform. As part of the consulting engagement, the team worked hand-in-hand with Putnam’s data architecture team to redesign and built a data warehouse with Snowflake on AWS. The firm was able to leverage our organization’s pre-built frameworks to accelerate the migration significantly.
Putnam’s migration was completed in just 60 days. With many Python based, self-service utilities set up; the data architecture team was able to support an acceleration in customer analytics processes and go-to-market plans.
Improve query response by 10x.
Accelerate internal adoption and usage of Snowflake by 12x.