Best Big Data Integration Services from Pro Integrate
By Admin
Tue, May 28, 2019
Updated: Thu, Oct 8, 2026
6 min read
big data consulting companies
Get the best technology team for consulting and implementing your business solutions using a wide array of IT strategies! A whole range of technology becomes ready for your business platform by using the consulting services from the service providers. We improve the focus of your business on cost reduction and better resource deployment. Use the power of Big Data and powerful analytic methods to establish yourself as the leader of the field in your niche.
Use of Proof of Concept
Through the roadmap for integration architecture, we solve problems and arrive at the best features for your platform. Implementing the Proof of Concept helps us define the process. Though the designer is sure that his idea will work, testing the idea through the proof of concept will determine who far this is true. To do this, we first establish the need. This is done by establishing the pain points of the target audience. When you hear the same concerns being repeated, you are sure you have the right direction for advancement. The big data consulting companies map the pain points and then test it.
Making the prototype
Now, you have a rudimentary product that is ready for testing. This prototype covers all your requirements along with a predetermined feature set. When you make this functional, you have the Minimum Viable Product that solves all the pain points. So, essentially, you reinvent the way you work by creating new solutions for all pain points. At this point, you have made the roadmap for your product development.
Product appraisal by the consultant
The consultant will then do the product appraisal. This is of two kinds – discounted and undiscounted. The methods used for this include payback period, accounting rate of return, sensitivity analysis, discounted cash flow, and investment risk. The way to do the project appraisal includes the initial assessment, defining the problem, consulting which is the shortlist, finding out the options, and then selecting the project.
A range of technologies provided
You can consult the service providers for all technology related support as for Apigee, Dell Boomi, MuleSoft, web methods, Big Data, and Salesforce. Development services for B2B, EAI, and EDI integrations are given by the service providers that include development and implementation services and the integration architecture. This is done on mainstream platforms such as IBM WebSphere, TIBCO, and others.
Big data solutions
The consultancy services provide document managing and archiving along with BPM and Workflow development. Being one of the big data solutions companies, you will get complete support for the platform for integrating with data solutions and adding more features for business development. The companies can ask for and get specific resources for integration in the project.
The work process is in a mixed environment that includes both near-shore and onsite work. Resources are provided so as to be customer facing for integration with the team. There is another team working in parallel at the service provider’s headquarters to give support and do the needed studies for developing the project. This kind of operation helps reduce the effort and cost and improves the efficiency of the work. They will also handle the subsets of large projects being responsible for specific work streams as needed.
Frequently Asked Questions
What is a proof of concept in a big data integration project?
A proof of concept (PoC) is a small, time-boxed test that checks whether a proposed big data or integration design actually works before full investment. The team first confirms the business need and pain points, then builds a limited version to test the idea, so risks and wrong assumptions surface early and cheaply.
What is a minimum viable product and how does it follow from a prototype?
A minimum viable product (MVP) is the smallest working version of a solution that addresses the main pain points identified earlier. It usually follows a prototype that covers requirements with a predetermined feature set. Once the MVP works, the team has a roadmap for extending the product in later phases.
How is a technology project appraised before it is approved?
Project appraisal compares the expected benefits of a project with its costs and risks. Methods include payback period, accounting rate of return, sensitivity analysis, discounted cash flow and investment risk analysis. The process generally moves from an initial assessment and problem definition to a shortlist of options and the selection of a project.
What do B2B, EAI and EDI integration mean?
B2B integration exchanges data electronically with trading partners, EDI (Electronic Data Interchange) is the standardized document format often used for that, and EAI (Enterprise Application Integration) connects an organization’s internal applications. Big data projects frequently depend on these integrations to bring clean data from many systems into one place.
Which integration platforms can a big data integration partner work with?
The post describes support across Apigee, Dell Boomi, MuleSoft, webMethods, Salesforce, TIBCO and IBM WebSphere, along with big data platforms. Pro Integrate lists these as technology areas on its site. The right platform depends on your existing applications, skills, and whether your priority is APIs, messaging, B2B or analytics.
What does a near-shore plus onsite delivery model mean for a project?
A near-shore plus onsite model places a customer-facing team on your site or in your region to work with your staff, while a parallel team at the provider’s headquarters handles studies, development and support. The aim is to share work across locations, keep communication close, and make effort and cost more efficient.
When should I use big data integration instead of a basic ETL job or a spreadsheet process?
Use big data integration when data volume, speed or variety outgrows scheduled ETL jobs or manual spreadsheets, for example with streaming data or many unstructured sources. For a few well-structured systems and modest volumes, a simpler ETL tool is usually adequate, cheaper to run and easier to maintain.
How do I start a big data integration engagement and what drives its cost?
Start by sharing your goals and current systems, then agree a discovery phase and a proof of concept. Cost and timeline are driven by the number of data sources, data volume, integration complexity, security needs, the delivery model chosen and how much support you need after launch. Estimates should follow discovery rather than precede it.
Does Pro Integrate provide big data integration services for clients in the US, UK and India?
Yes. Pro Integrate is a global IT consulting company with teams serving clients in the US, UK and India, offering a mix of onsite and remote delivery. Explore its big data development services or contact the team to discuss your project.