HOMOGENEOUS AND/OR HETEROGENEOUS ARCHITECTURE PERFORMANCE ESTIMATION FOR BIG DATA

Abstract

The fourth industrial revolution interacts with other aspects such as Cloud Computing, Internet of Things, Data Science, Data Engineering, Artificial Intelligence with Machine Learning. Because it is increasingly inevitable, not to transform real world data into digital data such as: Texts, audio, images, videos, etc., for its treatment and optimal decision making, in the context that is required. Consequently, from the aforementioned technologies comes the term Big Data, which underlies structured, semi-structured and unstructured terms and all of this has to be processed, administered and managed using ETL, Power BI Desktop and Power BI cloud service techniques. , Looker Studio, Hadoop Architecture for Big Data, ASF-Apache Software Foundation, provides support to the Hadoop ecosystem, to create, design and apply as research, application and distribution in Universities, SMEs and Companies and industries respectively, as well as multinationals Companies such as Oracle cloud, IBM, Amazon, Azure and Google, are based on this open source technology – Hadoop open source