BIG-DATA ECOSYSTEM

Enabling your business to make better decisions!

Analyze huge volumes of data to deliver actionable intelligence, and improve the overall service quality and profitability!

Big data refers to a massive volume of both structured and unstructured data, whose size or type is beyond the ability of traditional relation database which is used to capture, manage and process the data with low latency.

To overcome the problem with the Data storage, processing, Data Visualization and to provide new business opportunity most likely Big data is involved to accomplish a business that relies on quick, agile decisions to stay competitive.

Characteristics of Big data:

Volume: The Volume of data handled will play a major role in key decision makings. Nowadays, Organizations have Quintillions of bytes of data assets at their disposal. Big data tools stores and processes this huge volume of data which can’t be handled using traditional data warehouses or data marts.

Velocity: The flow of data is massive and continuous with high speed. The data can be helped to analysis and to produce near or real-time results that are useful for the business to make valuable decisions. Extremely high velocity of data is another major characteristic of big data.

Variety: Organizations collect data from a variety of sources, including business transactions, social media and Information from machine to machine or sensor data. Data can be structured, semi-structured or unstructured. Data is segregated in all formats by using an analytical tool to avoid mixing of data in the database.

Variability: Data that comes from multiple sources involves biases, noise and abnormality. In scoping out big data strategy to use the data, must avoid mixing of related and unrelated data as this reduces mixed interpretation. The data used for interpretations must be relevant and without abnormalities.

At Cerebra, we have a team of expert Big Data Analysts to guide you from solution designing to implementation and support of the Big Data environment. We have successfully carried out end-to-end implementations and support for leading customers.