Big Data and Analytical Services

This chapter covers big data and their potential in analytics space. It provides a detailed solution blueprint for designing and developing big data analytical services that can be reused across the enterprise by using common design components and standards. The big data platform offers a new, innovative approach that addresses shortcomings faced by traditional relational-database management systems (RDBMSs). The chapter covers the different ways to use the Data as a Service (DaaS) framework and its components to support the exciting world of big data and analytics. There is a symbiotic relationship between DaaS and big data analytics. The primary goal of big data analytics is to provide analytical insights and business intelligence from a wide range of data, streaming in from structured, unstructured and semi-structured data formats. The chapter presents case studies presented from organizations that have successfully implemented big data and mobile-based analytics services, leveraging the DaaS framework.