Identifying Big Data sources and their hidden value is great challenge.
It calls for a deep understanding of the business, its problems and the nature of the data.
It's not about Hadoop or any other technology for that matter.
We provide an honest and unbiased view of the situation. We have nothing to sell and no vested interest in your decision.
Whether you wish to choose a ‘data lake’ approach for focus on a 15 specific Big Data problem, choosing the right technology products & building an appropriate data platform is key to success.
This involves careful assessment of all available technology options in the areas of application, infrastructure, and deployment.
Our approach is to train your staff and hand-hold them through this phase.
Analytics applications are the ultimate consumers of the data processed by Hadoop.
They come in different forms and range from simple dashboards to advanced data crunching algorithms, such as Clustering, Collaborative Filtering, and Classification.
We work with you to develop and deploy these applications until you can unlock the hidden value in Big Data.
Big Data Strategy Definition
Architecting Data Platform
Building End To End Analytics Application
Front End Re-Engineering
Back End Re-Engineering