Use cases supported in new ways by the Snowflake architecture as the new use cases are newly enabled by Snowflake capabilities. Again Snowflake s service partner can help and quickly guide you through this step.. Scope of migration Once you have captured the success criteria determine the workloads and datasets to migrate and the use cases that will allow for maximum success. Most likely you will take a phased approach with multiple iterations of migration for clusters of datasets workloads and use cases. Conduct a use case workload review combined with a data review to decide which databases and datasets should be migrated first. A thorough data review will reveal process dependencies missing fields data that is no longer useful and other missing parameters.
The idea behind this is to move important data whatsapp mobile number list first while avoiding possible hiccup situations during the migration. It is also likely that the data in the cloud will need special treatment for security reasons or due to legal requirements.. Development of the target design To plan the migration properly you should take the time to detail the target design. Think about security considerations permission structures and data security controls that are appropriate for your organization s anticipated usage workloads and use cases. Describe how the data will be organized within Snowflake what zones and environments will be used and the CI CD approach. To complete the architectural vision evaluate the data entry data engineering modeling reporting BI and analytics toolset and make decisions accordingly.
Tools wie Google Transfer Appliance Azure Data Box und AWS Snowball in Anspruch nehmen. The most daunting aspect of migration is the data transformation and business logic. If the data is written in a vendor specific language like a dialect of SQL you can t just copy paste it to another data warehouse. You need expert judgment on the best approach to migrating such logic. As a Snowflake partner DataArt has access to a pool of knowledge and tools for standard migrations that the cloud warehouse provider has accumulated over time. This knowledge and tools help in the transition from popular data warehousing technologies such as Teradata Oracle Exadata Vertica and many others.