Enterprise Data Warehousing
Data warehouse (DWH) services help companies implement, improve or migrate their DWH solution to consolidate disparate data sources under one roof and enhance their decision-making.
Visible Stars has been rendering a full range of data warehousing services, including consulting, development, migration, and support to help companies benefit from a high-performing data warehouse.
We deliver end to end Data Warehousing Services from requirement definition through development, deployment, and post-implementation support.
Our wide range of Data Warehousing services are:
- Study of existing Data Warehouse Architecture
- Technology / tools evaluation and recommendation
- Roadmap for re-architecture/ re-engineering services
- Data Warehousing Services
- Database management and performance tuning
- Data modeling; data extraction, transformation and loading
- Data Merging, Migration and implementation
- ETL (Extraction, Transformation and Load) and DTS (Data Transformation Services)
- ETL architecture and development
- Development, Testing, and Deployment
Data warehouse Services
Data warehouse (DWH) services help companies implement, improve or migrate their DWH solution to consolidate disparate data sources under one roof and enhance their decision-making.
Data warehouse migration
- Designing a migration strategy and a plan.
- Assisting in selecting the right cloud vendor.
- Configuring the cloud cluster in a way to optimize costs.
- Redeveloping a data warehouse on a new platform.
- Transferring both master data and metadata to the new data warehouse.
- Testing the completeness of data to ensure the migration’s success.
Data warehouse consulting
- Come up with a new data warehouse design. Make sure that the design is fully compliant to your business needs by conducting interviews with the stakeholders, thoroughly analyzing the existing infrastructure, the available and future data sources, the types of data to be stored and analyzed (structured or unstructured) and more.
- Recommend one of the alternatives: a cloud, on-premises or hybrid data warehouse.
- Design data integration strategy.
- Advise on data quality procedures.
- Recommend the optimal technology stack.
Data warehouse development
We do data modeling and implement a data warehouse or the whole solution consisting of a data lake, a data warehouse, ETL (extract, transform, load) processes, and online analytical processing cubes. To meet the project requirements, timeframes and budget, we apply the most relevant of software development life cycle models like Iterative, Incremental, Scrum, Extreme Programming, Kanban, Waterfall.
Data warehouse support
- Provide data administration services: create rules to ensure that the data is clean and accurate, add new data sources and load new data, adjust ETL processes.
- Monitor the performance and capacity of your data warehouse – query running times, the correctness of data transformations or a data backup.
- Resolve the identified issues.
