Data Modernization: Data Warehouse Migration from Teradata to AWS Redshift

 

Be it the large volume of data or data field mapping issues. Be it the time duration for the entire restoration or the large size of fact tables and data validation. On-premise data warehouses always come with their own caveats. Therefore, migrating from an on-premise data warehouse to a cloud data warehouse can help you drastically with data modernization. 

 

You can easily manage gazillions of data and get rid of the data mapping issues and optimize your CapEx & OpEx. Let’s understand how Teradata to AWS Redshift migration can help you with your data modernization journey.

 

In order to migrate the on-premise Data Warehouse (Teradata Database) to AWS Cloud Infrastructure (Redshift Database), you need a well-defined mechanism in place.

 

AWS provides Amazon SCT (Schema Conversion Tool) for converting schema and loading chunks of data for large fact tables by applying conditions for source data. The time duration is an important constraint for the entire migration process. You can leverage parallel tasks in SCT for processing different chunks of data resulting in faster migration of data

Why do you Need to Migrate from Terdata to Redshift for Data Modernization?

 

By migrating from Teradata to Redshift, you can redesign and rebuild the system. You can replace complex views and stored procedures with Postgres UDF, and Perl/Python script translations. This shift also helps you with an automated end-to-end data validation script to assess the data after migration inside a stringent validation window.

 

With the migration from Teradata to Amazon Redshift, you get:

• A user-friendly and highly scalable robust system at a strikingly lower cost
• An improved and highly satisfactory query performance 
• Better workload management results in faster performance
• Multiple custom integrations for better administration and development
• Redshift database can be co-located with S3 data storage which can access data with a single copy command resulting in a huge add-on to data engineering productivity

 

Long-term Benefits of Migrating from Teradata to Redshift

·        By automating the provisioning of administrative tasks, Amazon Redshift requires less staff time to deploy, manage, and support. In addition, Redshift has the flexibility to deliver more value to organizations through more timely delivery of PaaS offerings.

·        Data warehousing operations experience fewer user and business-impacting outages with Redshift, indicating that organizations save productive employee time and potential revenue to outages and downtimes.

·        A variable spending model, scalability, and data compression capabilities reduce the need to potentially overprovision data warehousing environments while moving to Amazon Redshift. This enables operational cost savings and helps you reduce your TCO.

 

Summing Up

Thus, it won’t be an exaggeration to say that migrating from Teradata to Amazon Redshift can greatly enable you to drive performance efficiency, innovation, and agility. But how do you seamlessly relocate your humongous data from on-prem to a cloud data warehouse? You need a data modernization solution that can help you make this journey smooth.

 

With Rawcubes, you can reduce your migration effort tremendously by up to 60% and decrease the deployment time of analytics to the target platform by 40%.

 

Not only this. You get a code-free schema and data platform migrator to operationalize analytical models from the new cloud platform to the existing reporting system in less time using ML DataOps Pipelines. You can build an autonomous knowledge hub or data catalog with Knowledge Graph with our Data Discovery Solutions.

 

Are you ready to multiply your revenue and drive efficiency & innovation? To learn more about the Teradata to Azure migration strategy and successfully revamp your data warehouse, explore our data modernization solution and book a discovery call with our experts now!