Big Data Analytics

“We bring a personal and effective approach to every project we work on, which is why our clients love us and why they keep coming back.”

Zerone Corporation ensures that we can provide the way to store large amount data and make a easiest way to seach data vai Big data.

Increase your analytics agility with the power of Big data anlytics. Process large data volumes at great speed in a hosted, managed, secure environment.

Our Services

  • Custom Software Development
  • Development Services
  • QA and Software Testing
  • Engagement Models
  • Testing Services

3V of Big data

  • Velocity
  • Denotes the speed at which data is emanating and changes are occurring between the diverse data sets.

  • Volume
  • Around 6 million people are using the digital media and it is estimated that about 2.5 quintillion bytes of data is being generated every day.

  • Variety
  • Most of the data is unstructured in nature.

  • Veracity
  • 27% of businesses are not sure if the data they are working on is accurate.

What is Big Data Analytics

Big data is an evolving term that describes any voluminous amount of structured, semistructured and unstructured data that has the potential to be mined for information.

Big data is data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy.

Why Big Data


Gain instant insights from diverse data sources.Big Data is responsible for increasing the quality and speed of production by providing better visibility into supplier performance, recognizing deficiencies, and driving greater productivity

Better analytics

Big data analytics is the process of examining large and varied data and improvement of business performance through real-time analytics.

Vast amount of data

Big data technologies manage huge amounts of data.


Can provide better insights with the help of unstructured and semi-structured data..


Helps mitigate risk and make smart decision by proper risk analysis.

Types of Big Data

1. Structured data

Structured Data is used to refer to the data which is already stored in databases, in an ordered manner. It accounts for about 20% of the total existing data, and is used the most in programming and computer-related activities.

2. Unstructured data

While structured data resides in the traditional row-column databases, unstructured data is the opposite- they have no clear format in storage. The rest of the data created, about 80% of the total account for unstructured big data. Most of the data a person encounters belongs to this category- and until recently, there was not much to do to it except storing it or analysing it manually.

3. Semi-structured data.

The line between unstructured data and semi-structured data has always been unclear, since most of the semi-structured data appear to be unstructured at a glance. Information that is not in the traditional database format as structured data, but contain some organizational properties which make it easier to process, are included in semi-structured data.

About Zerone

Zerone Corporation was established in 2005 and is the leading software outsourcing company in Vietnam. We provide exceptional software outsourcing services and solutions to companies worldwide.

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