Big Data Introduction

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Abstract

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