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Getting to Know the Language

这是专门针对小白的零基础Java教程。

Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.

his guide provides a sampling of how Spring Boot helps you accelerate application development.

The author teaches you how to use Spring Boot from a complete beginner, to building a REST API with a real database, Dockerising it and deploying it to the cloud.

Learn Spring Cloud including concepts, additional libraries and examples for distributed systems.

MyBatis is an open source persistence framework which simplifies the implementation of database access in Java applications.

Step by step guide to learn Data Structures and Algorithms in 2025

一本通俗易懂的数据结构与算法入门书，引导读者手脑并用地学习，强烈推荐算法初学者阅读。

A visual guide to the most important patterns and approaches for the coding interview.

动画图解、一键运行的数据结构与算法教程

In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science.

Learn about data structures in this comprehensive course. We will be implementing these data structures in C or C++.

Data Structures and Algorithms full course tutorial java

设计模式，即Design Patterns，是指在软件设计中，被反复使用的一种代码设计经验。使用设计模式的目的是为了可重用代码，提高代码的可扩展性和可维护性。

Design patterns are typical solutions to common problems in software design. Each pattern is like a blueprint that you can customize to solve a particular design problem in your code.

创建型模式、结构型模式和行为模式。

Design Patterns tutorial explained in simple words using real-world examples.

这是一篇 MySQL 通关一篇过硬核经验学习路线，包括数据库相关知识，SQL语句的使用，数据库约束，设计等。

your go-to resource for mastering MySQL in a fast, easy, and enjoyable way.

MySQL SQL tutorial for beginners

This beginner-friendly course teaches you SQL from scratch.

大数据处理的主要流程包括数据收集、数据存储、数据处理、数据应用等主要环节。

With all this talk of Big Data, we got Rebecca Tickle to explain just what makes data into Big Data.

Learn about Elasticsearch with this comprehensive course designed for beginners, featuring both theoretical concepts and hands-on applications using Python (though applicable to any programming language). The course is structured in two parts: first covering essential Elasticsearch fundamentals including index management, document storage, text analysis, pipeline creation, search functionality, and advanced features like semantic search and embeddings; followed by a practical section where you'll build a real-world website using Elasticsearch as a search engine, working with the Astronomy Picture of the Day (APOD) dataset to implement features such as data cleaning pipelines, tokenization, pagination, and aggregations.

Hive is a data warehouse infrastructure tool to process structured data in Hadoop. It resides on top of Hadoop to summarize Big Data, and makes querying and analyzing easy.

Apache Flink 是一个分布式计算框架，它能够对有界和无界的数据流进行高效的处理。

This training presents an introduction to Apache Flink that includes just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details.

Today’s businesses are increasingly software-defined, and their business processes are being automated. Whether it’s orders and shipments, or downloads and clicks, business events can always be streamed. Flink can be used to manipulate, process, and react to these streaming events as they occur.