Our Database Migration and Transformation Services
Data Transformation is a key component of migration to the cloud. Whether you are upgrading from a legacy database platform to a cloud-native solution or implementing a Data Analytics service for Business Intelligence, Logicworks offers an end-to-end Data Transformation Services to fit your needs. At every stage of the process, Logicworks works collaboratively with your team, acting as a true partner to achieve your business goals.
“Logicworks completeness of resources are wide ranging. From project management to engineering to experts in security and automation, it’s pretty amazing.”
– Jens Skjoedt, Director of Customer Support at Stibo
AWS & Azure Database Services
Migrating your on-premises database to AWS or Azure can reduce the burden of database management, significantly cut licensing costs, and enable you to add storage capacity easily on demand. Logicworks can help you replatform your database and migrate to a fully-managed cloud service.
Our Database Migration Process
Logicworks works closely with your team to understand your business objectives, unique requirements, and challenges you are facing migrating your databases to the cloud. Based on our assessment, we then design and architect a solution that addresses gaps, navigates funding initiatives, and delivery goals.
- Assessment: Business Goals, Stakeholders, Existing Documentation
- Design: Platform, Performance, Storage, Backups, DR, Security, ROI Model
- Build: Configuration of destination environment
- Migration: Lift & install data in new environment
- Continuing Support: Monitoring, 24×7 Escalation, Backups
Data Analytics Services
One of the most powerful advantages of storing your data in the cloud is the ability to leverage analytics and business intelligence. Logicworks can create new data analytics from scratch or migrate and modernize your existing systems.
- Create a new Data Lake, Data Warehouse, and/or Business Intelligence solution on AWS or Azure
- Assess and improve Data Integrity across myriad of sources for use in analytics
- Analyze and implement ETL (Extract, Transform, Load) systems to aggregate your data
- Customize the Presentation Layer of your new analytics system according to your Key Performance Indicators
Data & Analytics Platforms
Database Source Platforms
- SQL Server
- MySQL
- Oracle DB
- PostgreSQL
- DB2
- MondoDB
- Cassandra
- Neo4J
Cloud Database Destination Platforms
- Amazon RDS
- Amazon Aurora
- Amazon EC2
- Amazon Neptune
- Amazon DynamoDB
- Azure Cosmos DB
- Azure SQL Database
- Azure Database
Data Analytics Source Platforms
- Oracle
- SQL Server Data Warehouse
- IBM Netezza
Data Analytics Destination Platforms
- Amazon Kinesis
- Amazon Glue
- AWS Data Pipeline
- Amazon Redshift
- AWS Snowflake
- Azure Synapse Analytics
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