With the ever-growing technological expansion of the world, distributed systems are becoming more and more widespread. They are a vast and complex field of study in computer science. Technologies are changing more often and requires various different skill sets to build a software.
You define your requirements on paper, and then a team with different skills sets will take it over, do the design, prove the concept on various technologies, unit test on smaller data set and then you try on large data set on a multi-node cluster.
As there are plenty of options to implement & as we are talking about big data distributed computing, it's quite common that until you try out your algorithm using few different techniques, you cannot make your decision.
The top three ways to implement: (1) FTE, (2) Outsource completely, and (3) combination of 1 and 2, where few special skilled FTEs and contractors work together.
A complete software generally stands on a framework, where all different components talk to each other and a complete end to end solution is achieved. Different components means different skill sets, Technical Architect(s) understands the requirement, assign various pieces to different skilled members. As there are too many different tentacles its quite common that one component is waiting for another component to finish or some or other way they are stepping on each other.
Well, target can be still be achieved, problem is time and code quality.
Imagine you hire one or two solution providers who can architect, design, and write a program on all these technologies, get your version 0.1 in a very short period of time while you set up different skill sets and form your teams.
We are on average 20+ years in the industry, currently working full/part time. Our expertise brings plenty of experience, ready-made frameworks, and high coding standards.