Let’s Talk Cloud Migrations

The cloud offers efficiency and performance advantages to storing, analyzing, and sharing data — and can remove numerous steps and the chaos that can result from siloed, duplicated data that becomes disconnected from its original source. Learn how a carefully planned migration can deliver significant advantages over your legacy on-premise and Hadoop solutions. 

This half day virtual event includes 4 sessions:

How Vivint Reduced Time To Data 

Creators of smart home technology need access to data and insights to develop and deliver the best home security systems. With 27 million connected devices capturing every event from doorbell rings to lights turning on and off, Vivint’s data needed a platform that could handle more data, more users, and an expanding set of workloads. In this presentation, hear from the Vivint team how they migrated from SQL Server to Snowflake handling 1 million queries, 300k data pipeline jobs, and 7,500 ETL jobs every day.

How Eneco Modernized Their Data Stack And Enabled Global Workforce

The Eneco mission is to be everyone’s sustainable energy. Just as the energy sector is modernizing, their data stack needed to modernize as well. To deliver on today’s needs and tomorrow’s goals, they migrated 5 data warehouse workloads from Oracle, SQL Server, Azure, and more legacy technology. Sequencing the workloads to migrate and getting data into the hands of a growing global workforce was critical to their success. Eneco’s migration prioritized access to previously siloed data for their global workforce throughout the migration. From regular reporting to unlocking semi-structured data from smart home appliances, learn more how Eneco modernized their data stack to overcome silos from complicated legacy architecture, create a trusted and governed source of data, and enabled new data capabilities. 

How Adobe Dynamically Manages Workload Resources

A good migration to Snowflake delivers value fast with a view toward long-term success on data strategies. Six years ago Adobe migrated to Snowflake from Redshift to gain more flexibility, execute faster, and remove many maintenance tasks. Over time with Snowflake, they developed an approach to dynamically manage and optimize workloads. In this session, you’ll hear how Adobe’s flexible approach balances multiple processes on the same data, enables them to scale up and down as needed without introducing downtime, and how they automated key processes including how they enabled developers and engineers to monitor workload performance and change reporting parameters for subsequent runs.

Migrating to Snowflake Using Professional Services

Snowflake’s Professional Services team works with many Snowflake customers to help them migrate from an on-premises environment or other cloud systems to Snowflake. As Snowflake migration experts, the team applies its expertise to meet the unique needs of each customer. During this session, the team will share our migration approach, which has been tested and proven to help customers migrate to Snowflake. You’ll learn how to:

• Define migration requirements
• Complete a code conversion assessment
• Create a migration readiness plan
• Engage Snowflake Professional Services to execute a migration