Architecture design and technology selection:
We provide a balanced architecture for the solution and help you select the right technology stack among a plethora of options.
Business requirements analysis and conceptual-solution strategizing:
We begin with a comprehensive overview of your business requirements. Based on the requirement list, we deliver a conceptual solution that will meet both the short-term and long-term goals.
Execution:
We offer an iterative approach that allows adjusting big data analytics solutions to our customers’ business needs.
Maintenance and support:
We not only solve any technical issues, but also proactively support changing business requirements of our customers.
Big data architecture includes mechanisms for ingesting, protecting, processing, and transforming data into filesystems or database structures. Analytics tools and analyst queries run in the environment to mine intelligence from data, which outputs to a variety of different vehicles.
We are highly-focused on the possibilities to optimize an existing architecture to reduce customer’s costs (such as the costs of cloud services, software license, software maintenance, data acquisition). We offer alternative options that bring both extra benefits and decreased costs.
We provide our customers with an enough stack of compatible platforms and services needed to satisfy the business needs since a big data Analytics solution always combines multiple components, as there are multiple data sources.
