Cloud Data Migration

Data Migration from On-Premise to AWS Cloud

Data Migration from On-Premise to AWS Cloud-img

A Direct Banking and Payment Services company needed to migrate their on-premise data warehouse residing on Teradata to cloud-based data warehouse Redshift. The process involved migrating tables, schema mapping and conversion of historical and incremental data.

Client Challenges and Requirements

  • Unavailability of any tool for migrating Source DDL to Cloud DDL with constraints 
  • Time-consuming manual process for migrating large numbers of tables and high volume of data 
  • Manual validation of migrated data resulting in inaccuracy and inefficiency of the process
  • Challenges to migrate incremental data due to lack of CDC feature in Teradata 
  • Migration of sensitive data with Security 
  • No provision to handle pipeline failures and restartability

Bitwise Solution

Bitwise leveraged AWS SCT and Bitwise Cloud Data Migration framework to implement the below features:  

test (4)

Source to Target schema mappings and automatic schema conversion through AWS SCT.

web (3)

AWS Schema Conversion Tool (SCT) and Bitwise cloud data migration framework to migrate data from source database to cloud.

deployment

Automated Data Migration - Full Data Load using AWS SCT and Incremental Load (CDC) through Bitwise cloud data migration framework

framework

Bitwise Cloud Data Migration Framework for historical as well as CDC data validation with provision of sample and full data after migration.

blockchain (1)

Implemented tokenization process through Bitwise Cloud Data Migration Framework to handle sensitive data

Group 3

Ability to monitor the data migration process to check the progress/status with user friendly dashboards and reports through CloudWatch.

Tools & Technologies We Used

AWS Schema Conversion Tool

Bitwise Cloud Data Migration Framework built using Java, Apache Spark

Containerization using Docker and Kubernetes

AWS S3, CloudWatch

Key Results
support (7)

Fast processing of data migration and validation

check (3)

100% accuracy of migrated data with sample and full validation

test (4)

High scalability and availability with reduced manual intervention

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