希音高级/资深Java工程师-PLM

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.

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.

Everything you need to know about designing large scale systems.

This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies.

Spring是一个支持快速开发Java EE应用程序的框架。它提供了一系列底层容器和基础设施，并可以和大量常用的开源框架无缝集成，可以说是开发Java EE应用程序的必备。

Level up your Java code and explore what Spring can do for you.

This guide walks you through the process of creating a “Hello, World” web site with Spring.

Spring MVC provides tools driving both typical web applications as well as REST APIs.

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.

k8s 作为云原生时代的操作系统，学习它的必要性不言而喻!

This tutorial provides a walkthrough of the basics of the Kubernetes cluster orchestration system.

本教程介绍 Kubernetes 集群编排系统的基础知识。每个模块包含关于 Kubernetes 主要特性和概念的一些背景信息，还包括一个在线教程供你学习。

Hands-On Kubernetes Tutorial | Learn Kubernetes in 1 Hour - Kubernetes Course for Beginners

Full Kubernetes Tutorial | Kubernetes Course | Hands-on course with a lot of demos

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.

These Quick Start guides will help you get going with a small StarRocks environment.

Recently, I had the opportunity to explore StarRocks which is the new kid in the block when talking about massive scale databases which are able to handle petabytes of data.

Learn how to ingest and query data in ClickHouse using the New York City taxi example dataset.

ClickHouse is an open-source column-oriented DBMS for online analytical processing that allows users to generate analytical reports using SQL queries in real-time.

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.

The home page of a free online class in distributed systems.

The cache is a layer that stores a subset of data, typically the most frequently accessed or essential information, in a location quicker to access than its primary storage location.

Caching strategies, Distributed Caching, Eviction Policies, Write-Through Cache and Least Recently Used (LRU) cache are all important terms when it comes to designing an efficient system with a caching layer.

In this tutorial, we’ll discuss some of the design principles and patterns that have been established over time to build highly concurrent applications.

Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

You’ll understand how Go chooses to model concurrency, what issues arise from this model, and how you can compose primitives within this model to solve problems.

With this book, you'll explore the transformative world of Java 21's key feature: virtual threads.

A high available architecture is when there are a number of different components, modules, or services that work together to maintain optimal performance, irrespective of peak-time loads.

High availability (HA) is a term that refers to a system’s ability to be accessible and reliable close to 100% of the time.

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.

Hadoop 为庞大的计算机集群提供可靠的、可伸缩的应用层计算和存储支持，它允许使用简单的编程模型跨计算机群集分布式处理大型数据集，并且支持在单台计算机到几千台计算机之间进行扩展。

Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models.

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.

In this Apache Kafka fundamentals course, we introduce you to the basic Apache Kafka elements and APIs, as well as the broader Kafka ecosystem.

HBase is a data model that is similar to Google's big table designed to provide quick random access to huge amounts of structured data. This tutorial provides an introduction to HBase, the procedures to set up HBase on Hadoop File Systems, and ways to interact with HBase shell.

Apache Spark 是用于大规模数据处理的统一分析引擎。

This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.

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.

You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.