BIG-DATA ECOSYSTEM

Growing Your Big Data Ecosystem

Are you doing all you can to enable your business to make better decisions?

Big data ecosystems refers to the massive volumes of both structured and unstructured data, whose size or type is beyond the ability of a traditional relational database. These are used to capture, manage and process data with low latency.

Nearly every successful business relies of quick, agile decisions to stay competitive. This is only achieved when the enterprise properly deals with their data storage, processing, and visualization. Cerebra Consulting has the experience and know-how to make sure your business does just that!

At Cerebra, we have teams that are built specially around analyzing these huge volumes of data to deliver actionable intelligence, and improve the overall service quality and profitability of your business.

Characteristics of Big data:

Volume: The volume of data being handled can play a major role in key decision making. Nowadays, organizations have untold amounts of data assets at their disposal. Big data tools store and process these vast volumes of data which otherwise couldn’t be handled using traditional data warehouses or data marts.

Velocity: The flow of data can be massive and continuously high speed. The incoming data can be analyzed to produce quick or even real-time results that are essential for business decisions and operations. The speed at which this data can be acquired and processed is another major part of the big data matrix.

Variety: Organizations collect data from a wide variety of sources. These can include business transactions, social media, sensor data, back-end processes and more. Coming from all of these disparate sources, data can then be structured, semi-structured or unstructured. Analytical tools are helpful in segregated data of all formats to avoid mixing of data in the database.

Variability: Data coming from multiple sources may involve biases, noise and abnormality. In scoping out big data strategies, avoiding the mixing of unrelated data helps to reduce mixed interpretations. The data used must be relevant and without abnormalities in order to comfortably work alongside the other data variants.

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.