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What projects does big data need to learn for development? Where should I start? The rise of big data era has brought about the development of batch advanced technology. As far as big data technology is concerned, the core is data, including our personal information, browsing records and purchase details, and so on, which are all data in a huge database. And big data programmers in the learning process, will deal with these data, come into contact with different projects, so as to constantly upgrade their own technology library.

What projects does big data usually have? There are many big data projects, and the technologies used are different. Let's first introduce a typical project in big data.

1. Project introduction

Alibaba online shoppers are used to receiving personalized recommendations from the system, and Netflix will recommend videos you might like to watch. TiVo will automatically record the show and watch it if you are interested. Pandora will generate personalized music streams by predicting what songs we want to listen to, all of which come from a variety of recommendation systems.

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They rely on computer algorithms to run, according to customers' browsing, searching, placing orders and preferences, choose for customers what they may like and may buy, so as to serve consumers. The recommendation system was originally designed to help online retailers increase sales, and now this is a large and growing business, at the same time. The development of recommendation systems has grown from just a few dozen people in the mid-1990s to hundreds of researchers today, working in universities, large online retailers and dozens of other companies that specialize in such systems.

2. Project characteristics

Have you ever wondered what you look like in Amazon's eyes? The answer is: you are a long list of numbers in a big table. This string of numbers describes everything you've seen, every link you click, and every item you buy on Amazon, and the rest of the table represents millions of other people who shop at Amazon, and every time you log on to the site, your number changes, and in the meantime, every time you move on the site, it changes. This information in turn affects what you see on each page you visit, and what emails and offers you receive from Amazon.

3. Technical architecture of the project.

A) basic knowledge of recommendation system

B) recommendation system development process analysis

C) Mahou collaborative filtering api usage

D) Java recommendation engine development practice

E) recommend system integration operation

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