- MySQL 8 for Big Data
- Shabbir Challawala Jaydip Lakhatariya Chintan Mehta Kandarp Patel
- 152字
- 2021-08-20 10:06:09
Results of analysis
The results that were analyzed from our previous phases are loaded back into MySQL, which can be done with the help of Apache Sqoop. Now MySQL has the analysis result that can be consumed by business intelligence tools such as Oracle BI Solution, Jasper Soft, Talend, and so on or other traditional ways using web applications that can generate various analytical reports and, if required, do real-time processing.
This is how MySQL fits easily into a Big Data solution. This architecture makes structured databases handle the Big Data analysis. To understand how to achieve this, refer to Chapter 9,
Case study: Part I - Apache Sqoop for Exchanging Data between MySQL and Hadoop, and Chapter 10, Case study: Part II - Realtime event processing using MySQL applier, which cover a couple of real-world use cases where we discuss using MySQL 8 extensively and solving business problems to generate value from data.
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