ABSTRACT
Organizations now face new issues in handling and utilizing the enormous amounts of data being generated because of the advent of big data. An organized strategy, known as the big data process life cycle, is required to overcome these problems.
Data ingestion, data storage, data processing, data analysis, and data visualization are among the stages involved in this process.
To successfully gather, store, process, analyze, and show the data, each stage requires a separate technology, such as Apache Kafka, Hadoop Distributed File System, Apache Spark, and Tableau.
Organizations must comprehend the big data process life cycle and related technologies to manage big data effectively and acquire insightful information for making decisions.
Many concepts have emerged regarding the fourth industrial revolution. These concepts include the main factors in the development of smart technology. With the mutual connections of smart devices and the exchange of information between each other, true communication can be created between people and smart devices.
Smart devices are applied in various sectors as one of the most productive assistants of human society. These devices interact with each other and create a large system network called the Internet of Things ecosystem.
On the other hand, as the interactions of these smart devices (with each other or with people) are based on a large set of data, another concept emerges: big data. This chapter examines the Internet of Things ecosystem and the role of big data in this system.
