Big Data is a new social and economic development engine worldwide. The
accumulation of data globally is approaching a critical threshold due to recent
innovations in health, education, and other sectors. Data complexity depends on data
volumes, diversity, speed, and truthfulness. These also affect the capacity to find big
data analytics and associated tools.
Big Data Analytics is a significant challenge in developing highly scalable data and
data integration algorithms. New algorithms, methods, systems, and applications in Big
Data Analytics are potential discoveries that will effectively identify valuable and
hidden information in Big Data. This chapter discusses big data, and its history; Big
Data drives the world's modern organizations. There is a need to convert Big Data into
Business Intelligence that enterprises can readily deploy. Better data leads to better
decision-making and improved strategies for organizations.
Keywords: Conventional source, Constraints, Digital storage, ETL, Logical analysis, Multi-structured information, Meta-data, Quantification, Relational database, RFID, Sustainability, Tabulating machine, Web interaction