Abstract: The rise of cloud computing and cloud data stores have been a precursor and facilitator to the emergence of big data. Cloud computing is the commodification of computing time and data storage by means of standardized technologies. Analytics over the huge volume of data is now possible with big data. Data keep on accumulated on every minute from multitude data sources such as social media, mobile devices, and sensors. In order to extract insights from diverse information feeds from multiple, often unrelated sources, data need to be correlated or harmonized to a common level of granularity. Loading Unstructured Data into Data warehouse getting complex. A strategy for fetching the unstructured data into Hadoop Distributed File System is discussed. Data cleansing and profiling of extracted data is important to overcome data quality concerns. Big data can be analysed with the software tools commonly used as part of advanced analytics disciplines such as predictive analytics, data mining, text analytics and statistical analysis.

Keywords: Qubole Data Service (QDS), Big Data Analytics, Cloud Computing, Business Intelligence, Hadoop.