In this section, we will discuss how these various data types are being analyzed with a common question starting with what if...? The way organizations have evolved with data also has impacted new metadata standards, organizing it for initial detection and reprocessing for structural approaches to be matured on the value of data being created.
Most mature organizations reliably provide accessibility, superiority, and value across business units with a constant automated process of structuring metadata and outcomes to be processed for analysis. A mature data-driven organization's analyzing engine generally works on multiple sources of data and data types, which also includes real-time data.
During the analysis phase, raw data is processed, for which MySQL has Map/Reduce jobs in Hadoop, to analyze and give the output. With MySQL data lying in HDFS, it can be accessed by the rest of the ecosystem of Big Data platform-related tools for further analysis.