The promise of Big Data is to drive profitability by reducing costs, improving product/service quality, decreasing time of delivery, optimizing product offerings, and making smart business decisions in everything from medical treatments to social media campaigns, to customer service and marketing promotions. Big Data is a term used to describe datasets which exceed the capabilities of traditional IT Data Management Solutions as they demand massive storage requirements, huge transaction counts, big analytical needs, quick response times, and enormous bandwidth requirements. Big Data is characterized by 4 Vs: volume (size of the dataset), velocity (speed of data collection and analysis), variety (data formats), and veracity (quality of data). The datasets can be structured data such as transaction records, customer records, call center records or semi-structured data such as emails and XML files or even unstructured data such as video, twitter feeds, customer comments, etc. And these datasets can arrive from various data sources such as sensors, data entry terminals, social media, and web services at varying refresh rates (real-time, periodic, batch) and can quickly grow to terabyte (1000GB) and petabyte (1000TB) ranges. The challenges for organizations are in acquiring, storing and accessing large datasets effectively; making sure the quality of dataset is high and analyzing the data accurately to realize the promise of Big Data.
KandilIT’s has strong skill sets in various open source and commercial Big Data & Data Science technologies, platforms, and tools.
Leveraging this comprehensive expertise in Big Data technologies and client specific offerings, KandilITcan provide the following tangible solutions: