High Velocity Data Stream - QUODD
Financial Market Data Analysis wherein we have a challenge to provide appropriate sink for the high speed feed from various stock exchanges without any loss.
Volume (reporting, graphing etc) – Survey Data
BIG DATA is there to be utilized for analysis and generally we end up analyzing terabytes & terabytes of data.
Complex calculations over data (predictions)
One of the other challenges of BIG DATA which somehow isn't well understood is the need to tackle the problem of CPU intensive calculations.
Variety - MM
Big data is available from wide variety of data sources and formats. Variety means structured(relational) and unstructured(logs, text, audio, video) data can coexist. Like on an e -commerce site, click analysis produces unstructured data and inventory, purchase history, user detail comes under structured data.
One of the biggest challenge is perform storage, conversion and analysis of variety of data simultaneously and extract information out of it.
Implementation of Big Data and Hadoop solutions will help your organization to expand and find various micro markets and can creates sales for your organization, as it helps in:
We are one of the early adopters of Hadoop on Azure(HOA) framework. Our belief is that the power of Hadoop over Azure will significantly widen the reach of Big Data.