Tutorial on Data Analytics in Multi-engine Environments

摘要

Motivation for the Tutorial. The performance of analytics on Big Data collections is the focus of a lot of research and is becoming a leading requirement in many business domains and scientific disciplines. Data analytics includes techniques, algorithms and tools for the inspection of data collections in order to extract patterns, generalizations and other useful information. Much of the recent research is focused on the employment of Hadoop for efficient data analysis, which takes advantage of the MapReduce paradigm and distributed storage, and, furthermore, Spark mostly for real-time analysis, which takes advantage of in-memory processing. The success and effectiveness of such analysis depend on numerous challenges related to the data itself, the nature of the analytics tasks, as well as the data processing platforms over which the analysis is performed.