Extensive documentation and or after sales service. Your data engineers and users need to avoid having to deal with the problems of the tools themselves. Extensive documentation a user community and proper after sales service are of great help in troubleshooting problems that may arise later. How do you plan your migration from a legacy data solution to Snowflake Anyone who tells you cloud migration is easy could sell you the moon. It s a delicate endeavor with pitfalls to avoid. Based on our experience and the knowledge base of the Snowflake partner ecosystem here is a list of things to consider when migrating from a legacy data platform to Snowflake.
While each step in the data solution migration whatsapp mobile number list process is important formulating a strategy for the entire process is perhaps the most important. You should list success criteria business critical capabilities use cases and deliverables determine the scope of the migration in terms of workloads datasets systems and use cases work out the design and operating model of the intended Snowflake solution and choose an appropriate implementation approach for the migration. You can work with a Snowflake service partner like DataArt on this migration strategy to leverage the partner s wealth of experience and leverage the Snowflake partner ecosystem s migration guides knowledge base and solution accelerators.
Formulate criteria for success No matter how powerful and reliable a cloud data platform is not everything about its features and architecture can be equally valuable to every organization. Go one step further and list which Snowflake values features and tools are most relevant to your organization s needs as well as the project cost model and migration implications. At this early stage you should conduct demos and hands on labs or implement a Snowflake proof of concept and proof of value for the business critical tools features or use cases.