Course Intermediate  3853

Course Introduction：The data visualization project uses the most popular chart engine ECharts to display all aspects of data that need to be presented in the e-commerce platform. Used to analyze the operation of e-commerce platforms in more detail in order to make correct decisions. The front-end of this project uses the Vue technology stack, the back-end uses the Koa2 framework, and the front-end and back-end data interaction uses WebSocket to ensure the real-time nature of the data. The project also supports theme switching to display cool chart effects. It also supports switching between large and small screens, ensuring that charts are presented on different screens.

Course Intermediate  8657

Course Introduction：With the popularization of big data and the popularity of artificial intelligence, data visualization is widely used in existing enterprises and the demand is relatively strong, so we have this set of data visualization courses. This course is very suitable for students who have learned the basics of Vue as a cool practice project. After studying this course, whether it is applied in the current job or during the job interview, it will be a big plus point.

Course Intermediate  4722

Course Introduction：There are two main purposes for studying this course: 1. Visual panel layout adapts to the screen 2. Use ECharts to realize histogram display Core Technology: -Based on flexible.js + rem smart large screen adaptation - VScode cssrem plug-in - Flex layout - Less to use - Based on ECharts data visualization display - ECharts histogram data settings - ECharts map introduction

Course Intermediate  6239

Course Introduction：This course is a very comprehensive set of courses. The video knowledge covers the basics, advanced, operation and maintenance of MySQL and many other aspects. The course content is comprehensive and in-depth, which can fully meet our daily development, operation and maintenance, interviews, and self-improvement. It also uses a variety of methods during the explanation process to help students understand the key and difficult content in the course more clearly.

Course Intermediate  11388

Course Introduction："Self-study IT Network Linux Load Balancing Video Tutorial" mainly implements Linux load balancing by performing script operations on web, lvs and Linux under nagin.

Course Introduction：E-commerce big data platforms include: 1. Duoduo Information Communication, a big data software that can be an effective tool to help merchants make operational decisions; 2. Business consultant, a Taobao data auxiliary tool that integrates market conditions, decoration analysis, source analysis, Competitive intelligence and other data products are integrated into one; 3. Jingdong Shangzhi is a one-stop operational data open platform for merchants; 4. Zhixi is a data analysis tool for Shopee (Shopee); 5. Qiangua Data is a small A data analysis platform in the red book field; 6. Feigua Data is a data analysis platform in the short video field (Douyin, Kuaishou).

2022-10-13 comment 0  10712

Course Introduction：Introduction: Data streaming platforms are essential for handling real-time data efficiently in various industries like finance, IoT, healthcare, and social media. However, implementing a robust data streaming platform that handles real-time in

2024-09-22 comment 0  387

Course Introduction：The cryptocurrency market data query platform helps investors make decisions by providing real-time or historical cryptocurrency market information. There are the following types of platforms: real-time data platform, historical data platform, analysis platform, and combination platform. When choosing a platform, consider data accuracy and reliability, data coverage, ease of use, functionality, and cost. Some of the leading platforms include CoinMarketCap, CoinGecko, TradingView, BinanceInfo, and CryptoCompare.

2024-04-16 comment 0  1347

Course Introduction：How to quickly deploy a containerized large-scale data processing platform on Linux? Overview: With the advent of the big data era, the demand for data processing is increasing. In order to improve efficiency and save resources, using containerization technology to deploy data processing platforms has become a common choice. This article will introduce how to quickly deploy a containerized large-scale data processing platform on Linux. Step 1: Install Docker Docker is a widely used containerization platform. Before deploying the data processing platform on Linux, you need to install

2023-07-28 comment 0  1451

Course Introduction：Sharing experience in building an intelligent transportation big data platform using MongoDB. With the continuous acceleration of urbanization, urban road traffic problems have become increasingly prominent. How to efficiently manage and optimize urban traffic has become an urgent problem that urban planning and traffic management departments need to solve. The intelligent transportation big data platform emerged as the times require and has become one of the important means to solve traffic problems. This article will share the experience of using MongoDB to build an intelligent transportation big data platform. The intelligent transportation big data platform refers to the collection, storage, processing and analysis of transportation-related data.

2023-11-03 comment 0  952