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The most prominent database system that has been in operation for years is Teradata. It has served all those organizations over the years that need to deal with the voluminous amount of data in a short span of time. Some of the organizations believe that there is no possibility for replacement of Tera data in the present or in the future.
The coming of Snowflake into the public platform has opened a new window of opportunity for companies that aim at modern data analytical capabilities. Snowflake provides a multi-cluster cloud ecosystem that compartmentalizes the storage and processing needs of companies so that scaling of operations becomes as easy as possible. That said, companies have already adopted Snowflake in their existing applications and this teradata to snowflake migration is yielding a series of benefits.
Here are the steps of the roadmap of migration journey
The journey of migration from Teradata to Snowflake may be accompanied by a lot of complications. These complications can be avoided by following a step by step approach as highlighted below:
The first step is the analysis of active data implementation and the relative consequences that may emerge from its adoption. It is at this stage that a list of databases needs to be formulated that are to be migrated. The loading of data into respective tables is also an important part of this stage. After all the prerequisites of the first age have been met, we may proceed to the second stage.
The second stage is involved in the preparation of the design integration module. After we understand the various requirements of the present Teradata usage, we may formulate an execution plan for the migration process. There are two ways to go forward. We may adopt a one-time migration approach or we may plan to migrate in a phased manner. The most recommended approach to migrate is the phase-wise approach in which sensitive information is migrated first and complex and sensitive migration processes are taken up at the end. Established companies plan for a full vertical migration which we call the end-to-end migration. This type of migration is very quick and needs fewer tools as compared to the phase-wise migration process.
In the third step, we will set up a snowflake account that meets all our requirements. This step involves the creation of a large number of databases and warehouses on the platform of the snowflake. Lastly, a large number of clients are asked to create their respective accounts on the new platform.
In this step, we will start the creation of the database structure. To avoid the complexities in this step, we use an intelligent platform that is capable of automating various processes and avoiding errors whenever they are encountered. The migration of data definition language marks the completion of this step.
Wrapping up remarks
The decision to migrate from Teradata to Snowflake is influenced by many factors. This article is an attempt to make this decision much more informed and data-driven.