What We Offer…
Big Data Challenges
As Big Data technology is fast evolving, significant impediments still exist for an Enterprise to transform into a Data-driven business. Ingesting, Processing, Securing, and Analyzing diverse data sets, what we refer to as DataOps, is proving to be a complex and expensive endeavor for most companies.
These efforts take too long- and fall way short!
A fast changing technology landscape, exploding data volumes, varied data times, and a lack of skilled resources are key reasons for the current state of affairs.
Presenting DataOps-as-a-Service…
The collective stages of the Data as it moves from Ingest, Process, Secure, Persist, Analyze, to Insight is referred to as DataOps.
Our DataOps-as-a-Service is a combination of Cloud-based Big Data Management platform + Managed Services around harnessing the data.
- Based on our DataOps components, we provide scalable, purpose-built big data frameworks that adhere to best practices in data privacy, security, and governance.
- Platform is designed to address a broad range of analytic workloads – both streaming and batch, structured and unstructured, all through reusable design patterns, templates, and domain specific workflows.
- Popular platform configurations include Data Lake, Data Mart, and Data Stream.
- Designed for DIY, the platform can be provisioned in a few clicks on major public clouds, thus accelerating the adoption of data-driven initiatives.
- Through our managed services, we provide custom development, on-going support, maintenance, migration, benchmarking, infrastructure management, and training services for all our solutions.
- We work on short agile sprints to deliver continuous innovation and a high probability of success.
Our DataOps-as-a-Service has powered…
- Ad targeting in Social Network
- Voice-of-Customer analytics portal in Consumer Electronics and Banking
- Customer segmentation for an e-commerce vendor
- Streaming Data platform for ingesting and analyzing M2M data
- Churn and Attrition scoring in Financial Brokerage
- Litigation Analytics platform
- Legacy application migration to a Big Data stack in Publishing
No matter what your Big Data Science needs, we?ve got you covered!
Business Benefits
- Agility – Be up and running in days, not months. Our proven design templates and seamless integration options are designed to accelerate your data on-boarding and insight generation.
- Technology – We have built flexibility and extensibility into our stack that allows you to experiment and choose the component for the right task without becoming locked into a technology or distribution.
- Value – Our solution is designed to reduce technical complexity, decrease labor costs, optimize infrastructure expenses, speed deployments, and increase success.
Need to accelerate your DataOps initiatives? Talk to Us
