Wiki defines big data as a term for data sets that are so large or complex that traditional data processing applications are inadequate. It includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time.

Data is categorised into three types – Structured, Unstructured and Semi-structured.


Data having a defined length and format

Relational databases – Tables / Rows

Click-stream data, Financial data, Web log data


Data without any defined format

Text and multimedia content

Documents, Images, Videos


Data with a self-describing structure or a metadata


Email, Twitter


Characteristics of Big data

There are specific attributes that define big data and data engineers categorise big data into five dimensions:

Volume Massive data size
Velocity Rapidly growing data
Variety Data in different forms
Veracity Accuracy of data
Value Increased business value



Hurdles for Big data projects

big data hurdles-2

With so many opportunities to design a business solution, project execution has certain challenges that includes:

  • How to provide a reliable storage and ensure data availability, reliability and security?
  • How to design a fault-tolerant network and handle data transfer across the network?
  • How to develop business solutions and perform data analytics?
  • How to choose the technology stack for your for Big data application?


What do we offer?

big data offerings

We at ProtechSkills, enable enterprises to design and develop a well-thought-out big data platform. Our services help companies to generate value from their data and increase operational efficiency. Our goal is to deliver cost-effective solutions that fits the client budget and needs. We also provide customised training programs for organisations seeking expertise in the big data frameworks.

To know more about our services, please browse @