Big Data Analytics
Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns and other useful information that can provide competitive advantages and better business results.
Big data analytics can be done with the software tools commonly used - but the unstructured data sources used for big data analytics may not fit in traditional data warehouses. Additionally, traditional data warehouses may not be able to handle the processing demands posed by big data. As a result, a new class of big data technology has emerged and is being used in many big data analytics environments
This course will teach you how to improve business decisions by analyzing data from various sources like: social media activity reports, mobile-phone call detail records, information captured by sensors, etc. The course also explores the technologies associated with big data analytics like: NoSQL, Hadoop and MapReduce and how they can be integrated into existing analytical environments.