What is Extracting, Loading, and Transforming (ELT)

Big data helps organizations of all sizes track performance, detect issues, and find growth opportunities. Big data has advantages, but supporting it with computer resources and software services may cost even the biggest organizations. Sales, IoT sensors, and user feedback give analytics, and clouds can handle big data. Cloud computing changed computer infrastructure, since all services are cloud-based. Cloud computing is great for massive data storage, administration, and analytics due to its flexibility, pay-as-you-go or pay-per-use strategy, and minimal upfront cost. This chapter examines big data and its analytics with cloud computing for businesses and end users and discusses the key concepts of big data and cloud computing; the advantages, benefits, and disadvantages of big data analytics; cloud service types for big data analytics; security challenges; differences between big data and cloud computing; applications of big data analytics; choosing the cloud deployment model; and security and research issues in big data.