Analyze and document your existing data warehouse architecture, data model, and how it is connected to the rest of your enterprise systems.
Analyze and document the data management processes that exist to transform and blend the data coming into or going out to various systems.
Analyze and document the security aspects of your current solution, capturing user authentication and authorization, as well as PII, PCI and other compliance issues that will be considered when crafting the cloud data warehouse.
We bring almost a decade of cloud experience, starting with Amazon Web Services (AWS) in 2008, and more recently working with newer partners such as IBM and Microsoft Azure. What we offer
Produce an improved architecture for either AWS Redshift or Azure SQL Data Warehouse to enable future growth and enhanced performance.
Plan a detailed data migration effort, along with a carefully crafted cut-over strategy to ensure no disruption to your business from this transition.
Build out your solution, in terms of its data model and the processes that will feed the model with data from your source systems.
Execute the cut-over plan, allowing for a parallel run where possible to reduce cut-over risks.
Ability to scale up or down on demand, allowing for cost to vary based on workload. Pay for what you use only.
Reduced cost compared to on premise Massively Parallel Processors (MPPs) such as Teradata and Oracle Exadata.
Capability to grow to peta-byte scale while maintaining performance and cost efficiency.
Reduced cost of operation through automated backups, automatic feature upgrades and other maintenance hassles.
Proximity of data allows leveraging powerful cloud services such as machine learning, visualization and AI deep learning services.
SQL compatibility ensures your analysts won’t have to learn obscure NoSQL or big data query languages.
Fill out the form and we will contact you to discuss your needs and setup a free assessment.