DataWare House
DataWare House
Looking to establish a high-performing data warehouse? Trust our extensive experience in delivering exceptional data warehouse services. Whether you require development, migration, consulting, or ongoing support, our team is dedicated to meeting your specific needs. We ensure seamless integration and optimization of your data infrastructure to enhance operational efficiency and decision-making capabilities. Count on us to provide tailored solutions that align with your business objectives and scale with your growth. Let us optimize your data management processes with reliable, high-quality data warehouse services.
E-commerce store that GLINTSOFT INFOTECH Worked on:-
Considering replatforming your on-premises data warehouse to the cloud? Whether you choose a full migration or opt for a hybrid data warehouse setup—where sensitive data stays on-premises while the rest moves to the cloud—we offer expert guidance and implementation. Our services ensure seamless transition, data security, and optimized performance, tailored to your specific business needs. Trust us to execute your cloud data warehouse strategy effectively, enhancing scalability, flexibility, and operational efficiency.
- 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.
- Data warehouse consulting.
- Transferring both master data and metadata to the new data warehouse.
- Testing the completeness of data to ensure the migration’s success
Consider building a new data warehouse from scratch, revamping or improving your legacy solution as it doesn’t satisfy your needs anymore? Here’s how our consultants can help:
Developing a new data warehouse design involves conducting stakeholder interviews to understand business needs thoroughly. We analyze existing infrastructure, evaluate available and future data sources, and determine data types (structured or unstructured) for storage and analysis. This comprehensive approach ensures the design is fully compliant with business requirements, optimizing data accessibility, integration, and analytical capabilities effectively.
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.