Data Migration Archives - Bitwise https://www.bitwiseglobal.com/en-us/categories/data-warehouse-modernization/data-migration/ Technology Consulting and Data Management Services Mon, 21 Apr 2025 06:03:00 +0000 en-US hourly 1 https://cdn2.bitwiseglobal.com/bwglobalprod-cdn/2022/12/cropped-cropped-bitwise-favicon-32x32.png Data Migration Archives - Bitwise https://www.bitwiseglobal.com/en-us/categories/data-warehouse-modernization/data-migration/ 32 32 Cloud Data Migration from Netezza to Google BigQuery https://www.bitwiseglobal.com/en-us/case-study/cloud-data-migration-from-netezza-to-google-bigquery/ https://www.bitwiseglobal.com/en-us/case-study/cloud-data-migration-from-netezza-to-google-bigquery/#respond Mon, 04 Apr 2022 00:00:00 +0000 https://www.bitwiseglobal.com/en-us/case-study/cloud-data-migration-from-netezza-to-google-bigquery/ A major payment processing firm based out of USA wishes to build a cloud based big data strategy that the enterprise as well as external users can leverage to build better analytics and better business decisions. One of the key components and challenge in the build process was migration of on premise data to cloud.

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A major payment processing firm based out of USA wishes to build a cloud based big data strategy that the enterprise as well as external users can leverage to build better analytics and better business decisions. One of the key components and challenge in the build process was migration of on premise data to cloud.

Client Challenges and Requirements

  • Migration scope included 23TB of data, 1500 tables and 1200 plus jobs running on Netezza
  • Maintaining Netezza batch process performance (ensuring compliance with defined SLA) so as to have a balance between data migration load and regular batch process load

Bitwise Solution

  • Design and develop a generic process to extract data, generate delimited files and push the files to designated cloud buckets
  • Generic tokenization process to tokenize PCI data before pushing to cloud
  • Generic de-tokenization process to include actual value in output extracts
  • Auto generation of BigQuery YAML (for table creation) using Netezza metadata
  • Automatic validation of historical data migration
  • Build the cloud migration architecture and solution design
  • Compile the phased migration plan aligned with business priority and timeline
  • Adoption of PaaS model – managed service pipeline for processing and storage
  • Cloud native services for designing ETL workflows and scheduling
  • Integrated Data Quality Framework
  • Build a multi layered Data Lake for quick and controlled access to data layers (raw, transformed, aggregated)

Tools & Technologies We Used

Netezza

Ab Initio

Shell Script

Python

Control M

GCS

Dataflow

BigQuery

Cloud SQL

Airflow

Key Results

Group 3

Seamless migration of the
DW on to GCP

code (1)

Successful migration of 23TB of historical data ensuring data integrity

test (4)

Automated Data Validation resulting in 25% effort saving

Group 3

Auto generation of BQ YAML from Netezza DDL resulted in 85% effort savings associated with DDL creation

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Data Migration on Azure SQL MI from Oracle https://www.bitwiseglobal.com/en-us/case-study/data-migration-on-azure-sql-mi-from-oracle/ https://www.bitwiseglobal.com/en-us/case-study/data-migration-on-azure-sql-mi-from-oracle/#respond Wed, 25 Aug 2021 00:00:00 +0000 https://www.bitwiseglobal.com/en-us/case-study/data-migration-on-azure-sql-mi-from-oracle/ As part of its cloud data warehouse initiative, a large research and advisory firm with global customer base needed to move their entire EDW data from Oracle to Azure SQL MI.

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Data Warehouse Migration from Teradata to AWS Redshift https://www.bitwiseglobal.com/en-us/case-study/data-warehouse-migration-from-teradata-to-aws-redshift/ https://www.bitwiseglobal.com/en-us/case-study/data-warehouse-migration-from-teradata-to-aws-redshift/#respond Wed, 05 May 2021 00:00:00 +0000 https://www.bitwiseglobal.com/en-us/case-study/data-warehouse-migration-from-teradata-to-aws-redshift/ An American company that franchises and operates a chain of restaurants needed to migrate their on-premise Data Warehouse (Teradata Database) to AWS Cloud Infrastructure (Redshift Database)

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Cloud Data Migration from Oracle to Azure SQL Data Warehouse https://www.bitwiseglobal.com/en-us/case-study/cloud-data-migration-from-oracle-to-azure-sql-data-warehouse/ https://www.bitwiseglobal.com/en-us/case-study/cloud-data-migration-from-oracle-to-azure-sql-data-warehouse/#respond Thu, 25 Feb 2021 00:00:00 +0000 https://www.bitwiseglobal.com/en-us/case-study/cloud-data-migration-from-oracle-to-azure-sql-data-warehouse/ One of the largest Media and Publication corporations with holdings in newspaper, magazine, radio and web channels across the United States with large customer base had a requirement to move their entire EDW data from Oracle to Azure SQL Data warehouse.

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Data Migration from Teradata to Snowflake https://www.bitwiseglobal.com/en-us/case-study/data-migration-from-teradata-to-snowflake/ https://www.bitwiseglobal.com/en-us/case-study/data-migration-from-teradata-to-snowflake/#respond Thu, 11 Jun 2020 00:00:00 +0000 https://www.bitwiseglobal.com/en-us/case-study/data-migration-from-teradata-to-snowflake/ A Direct Banking and Payment Services company needed to migrate their on-premise data warehouse residing on Teradata to cloud-based data warehouse Snowflake. The process involved migrating tables, DDL including historical and incremental data with support for cut over to on premise.

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A Direct Banking and Payment Services company needed to migrate their on-premise data warehouse residing on Teradata to cloud-based data warehouse Snowflake. The process involved migrating tables, DDL including historical and incremental data with support for cut over to on premise.

Client Challenges and Requirements

  • Unavailability of any tool for migrating Teradata DDL to Snowflake DDL with constraints 
  • Time consuming manual process for migrating large number 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 its data migration framework consisting of the following features:
test (4)

Schema Mapping and Auto conversion: Mapped the schema of Teradata with Snowflake and auto convert the DDL



checklist (7)





Data Validation: Developed a process/service to validate the historical as well as CDC data with provision of sample and full data after migration.

blockchain (1)

High Performance, Availability and Scalability: Implemented containerization to execute jobs for extraction, load and Validation

support (7)

Auto Scheduling: Automatic scheduling of migration process for data extraction, load and validation

web (3)

Tokenization: Implemented tokenization process to handle sensitive data



data (20)




Monitoring, Logging and Reporting: Ability to monitor the data migration process to check the progress/status with user friendly dashboards and reports.

Tools & Technologies We Used

Teradata

Snowflake

Bitwise Cloud Data
Migration Framework
Using Java, Apache Spark

Containerization using
Docker and Kubernetes

Key Results




FDE750A2-E848-4033-BC7C-B52660EC9F9Cuse cases icon
Created with sketchtool.




Fast processing of data migration and validation



data (22)










100% accuracy of migrated data with sample and full validation



diagram (6)






High scalability and availability with reduced manual intervention

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Cloud Migration Services

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