1, the system log collection system

Log data information on logs, collection, and then data analysis, to explore the potential value of the company's business channel log data. In short, the collection of log data to provide offline and online real-time analysis of the use. Currently commonly used open source log collection system for Flume.

2, network data collection system

After the web crawler and some website channels provide public **** API (such as Twitter and Sina Weibo API) and other ways to get data from the website. It is capable of extracting web data from web pages with unstructured data and semi-structured data, and extracting, cleaning, and transforming them into structured data, and storing them as consistent local file data.

Currently the commonly used web crawler system has Apache Nutch, Crawler4j, Scrapy and other structures.

3, database collection system

After the database collection system is directly combined with the enterprise affairs backend server, the enterprise affairs backend every moment in the occurrence of a large number of transaction records written to the database, and finally by the specific processing of the sub-penetration system for the system to analyze.

Currently, MySQL and Oracle are commonly used as contact databases to store data, and NoSQL databases such as Redis and MongoDB are also commonly used for data collection.

About what are the classifications of the big data collection system, Aoto editor will share with you here. If you have a strong interest in big data engineering, I hope this article can help you. If you still want to learn more about data analysts, big data engineers tips and materials, you can click on other articles on this site to learn.