Cloud and
Infrastructure
Modernize Data Analytics
As companies evolve their data analytics to drive more self-serves, advanced analytics, and ML/AI, the modern approach is to
leverage cloud environments and cloud database platforms.
Our Approach
We assess your current environment and implement solutions that focus on key characteristics of modern data architecture involving flexibility, automation/orchestration, governance, collaboration, elastic/scalable, and security.
Our team provides assessments and roadmaps to align your company's objectives with the benefits of a cloud data solution:
Low total cost of ownership: transfers hardware, time-consuming upgrades, consistent maintenance, and outage management
Improved speed & performance: designed to handle multiple data streams at various velocities
Secure data: cloud data can be more secure, and less costly to maintain
Increased data storage: dynamic and elastics data options - providers offer a “pay-as-you-go” subscription model
Improved access & integration: accommodate various data types ; built-in data governance
Better disaster recovery: support asynchronous duplication of data, and perform consistent snapshots and backups automatically.
Leveraged cloud & cloud elasticity: add more capacity when required and when demand is low, storage and compute power can shrink
Cloud Data Assessment
We review your current data environments & provide insights on cloud data architecture
Cloud Migration Roadmap
How to remove on premise database environments to modern cloud data architecture
Data Architecture Trends
Overview of existing analytics and architectures and the impact of modern cloud data solutions
Cloud Data Solutions
Delivering solutions for data analytics cloud migrations, data architecture, pipelining, & curation