Big Data is a term or entity that is used to describe the large and complex data sets or massive chunks. The data may be structured or unstructured and is normally so big in size that the traditional data processing methods fail to process or analyze it. As a matter of fact, there’s a gigantic amount of data being produced everyday. The data being produced worldwide in single day has moved from terabytes to petabytes and from petabytes to exabytes. This data holds hidden significant value and when analysed properly, it can reveal so much about the user behavior. For this very reason, a large number of companies and organizations use advanced methods to analyze and process this data to extract useful information that further aids in streamlining the business operations.
Big Data Analytics tools are used for extracting valuable information out of the existing data resources by using advanced analytics methods. The Big Data Analytics tools also help in detecting existing flaws or potential points of failure in a business. It can also be used for predicting the potential risk factors and help you improve business strategies. In this way, Big Data Analytics helps in taking important business decisions with calculated risks. In order to analyze and optimize people’s interest and current trends, popular social media network giants like Facebook, Twitter and LinkedIn take help of data management services obtained via Big Data processing apps which are assisted by Hadoop-based recommender engines.
Why Choose Oodles Technologies?
Oodles Technologies is a leading offshore software development company that provides end-to-end Big Data Development Services at cost-effective rates. We are pioneers in building high-octane software applications based on Big Data and Predictive Analytics. We make data accessible and secure. We strive to deliver the best-in-class development services at the best market price. We use advanced tools, development methods and we work on groundbreaking technologies like Machine Learning, Artificial Intelligence, Enterprise Resource Planning and Computer Vision.