Is there really something called "fast-tracked Big Data implementation"?

Data has become far too precious to discard. Today, we have numerous cost-effective ways to store, manage data at scale and analyze it within realistic timelines. On the other hand, Big Data/Hadoop implementations are also beginning to intimidate as they have scaled up and provide a maze of Operational Metadata Management, Data Ingestion Frameworks, Web Crawlers, Semantic Layer Building Frameworks, Data Quality Frameworks and HTML5 User Interfaces. Therefore, be warned as a business because, if you don’t overcome these challenges now, they will come back to haunt you soon enough.

For several months now, Wipro has been re-creating the frameworks required for Big Data implementations across different global clients and industries. It didn’t take us long to figure out that it would be of real value for enterprises, if we could develop an industry-agnostic set of frameworks that could be configured like Lego blocks, depending on specific requirements. And that is when we created our Big Data Ready Enterprise (BDRE) Framework. The BDRE framework essentially helps enterprises save thousands of laborious and expensive man-hours in deploying the technology. In addition, keeping the customization aspect in mind, we have developed this as an Open Source platform that allows enhancement and tweaks by the open source community. (The project including some demo videos is hosted on Github for reference and documentation on installation, architecture.) Below is a snapshot of the BDRE architecture:

Is there really something called "fast-tracked Big Data implementation"?

Technicalities aside, here are ways in which the BDRE framework actually simplifies things for your enterprise; To begin with, you don’t have to build the platform from the ground up, saving you hundreds of man days. Our Apache license gives you complete freedom to use it and even customize it to your needs. You can obtain the source and easily customize it for your specific requirement. Also, this being an Open Source platform, it lets your team contribute as well. In other words, your Big Data implementations would get significant acceleration and letting you leverage data effortlessly to deliver quantum business growth.

About the Author

Rahul Sarda is a Distinguished Member of Technical Staff (DMTS) at Wipro and currently heads the Big Data Practice within the Analytics service line. He has enabled organizations develop compelling value propositions that have helped them transform their businesses leveraging data as the key driver. He has served an extensive client base across wide geographic spread and has led several engagements successfully, managing various Big Data Analytics workloads such as Enterprise Data Hub, Enterprise Data Provisioning Platform, Real Time Streaming Analytics, Data Discovery & Analytics enablement, Enterprise Data Governance & Architecture, Enterprise Security.

Service Offerings

Service Offerings

Client Themes

Client Themes

Is there really

something called "fast-

tracked Big Data implementation"?

About the Author

Service Offerings

Industries

Cloud

Cybersecurity

Digital

EngineeringNXT

Holmes

Contact Us

About Wipro

Careers

Location

Leadership

Investors

Innovation

News and Events

Insights

Analyst Speak

Products & Platforms

Partner Ecosystem

Sustainability

Contact Wipro