Data Cloud Summit 2020 Highlights: Migrating to Snowflake

Author: Snowflake

Data Cloud Summit 2020

Data Cloud Summit 2020 was a great experience for both attendees and presenters. The productive half-day conference was packed with sessions that enabled attendees to learn how Snowflake, its customers, and its partners solve data challenges.

In case you missed the event, you can continue learning. Replays of all sessions are available here.

One of the key tracks during Data Cloud Summit was Migrating to Snowflake. This track was particularly valuable for organizations that are starting their journey to become more data-driven with Snowflake. It included real-life examples of successful migrations and best practices for implementing a migration. 

The Migrating to Snowflake track included several highlights:

  • Case studies that showed how Snowflake partners helped clients from multiple industries transform their data infrastructures by migrating to Snowflake. After migration, clients could take advantage of Snowflake’s ability to combine data from multiple, siloed locations into a single source of truth. In addition, clients benefited from Snowflake’s multi-cluster shared data architecture providing nearly unlimited scalability and concurrency, support for ANSI SQL and semi-structured data formats, and many other features. 
  • Examples of how Snowflake partners and customers ensured successful migrations by aligning migration strategies to business goals, enabling organizations to focus on the areas that would demonstrate an immediate ROI. Selecting the right migration approach led to increased acceptance and support for change throughout the organizations.
  • Discussions of how migrations can be a catalyst for instituting a new data culture. For example, by moving from an environment of siloed data to an environment where data is available to everyone, organizations can empower all of their employees to make data-driven decisions. Similarly, migration to Snowflake’s Data Cloud often leads to better collaboration between the traditionally separate roles of data analyst, data engineer, and data scientist. In addition, migration can enable organizations to share data with their employees, partners, and customers, empowering even more people to make data-driven decisions.
  • Best practices to follow during and after migration to maximize query performance, monitor and manage costs, increase concurrency, and optimize workload performance. 
  • Information about several new and existing Snowflake features that organizations should take advantage of before, during, and after migration.
  • Examples demonstrating how effective migration simplifies administration and maintenance throughout an organization and how Snowflake’s platform makes it easier to manage security and regulatory compliance.

Visit the agenda to listen to any session that you missed in any Data Cloud Summit track.