Big Data Practice

A foundational element of Cognilytics Analyze, Visualize and Monetize methodology is the health of our clients’ data.  Our Big Data practice drives accuracy, precision, performance and security of data access and delivery from source to consumption in order to maximize value for our clients.

  • Our approach to Data Platform Strategy, Design, Implementation and Management of Data is based on direct industry experience and best practices as well as state of the art Big Data partnerships we have developed.
  • Cognilytics has extensive experience architecting, developing, and maintaining data platforms. Our clients realize the benefits of centralized data architectures and adopting our innovative approach to tailored Logical Data Warehouse, Big Data Hadoop, and Real Time Analytics to meet their specific business goals.
  • Our specialty is SAP HANA which allows us to assist clients to realize value through SAPs revolutionary high performance analytic technology, In addition, we have experience on a variety of data architectures and technologies from traditional ETL (Extract Transform and Load), ELT (Extract Load and Transform) to centralized data warehouse environments, data marts, to real-time analytics into in-memory data landscapes, and finally to full data lake environments built using Hadoop for petabytes of data.

Cognilytics expertise puts us in a unique position to help guide our clients and their data architectures to the maturity necessary to support an most agile data environment that provides direct impact to business outcomes.

To learn more about how we leverage our partnerships with various IT vendors, visit our Partners page.