美团数据库研发工程（ElasticSearch内核方向）

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.

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.

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.

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.

Every major open-source project has its own style guide: a set of conventions (sometimes arbitrary) about how to write code for that project. It is much easier to understand a large codebase when all the code in it is in a consistent style.

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.

LearnCpp.com is a free website devoted to teaching you how to program in modern C++.

网站上的教程会手把手教你如何书写，编译以及调试C++程序，同时网站上有大量的程序示例。

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

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.

The Go App Optimization Guide is a series of in-depth, technical articles for developers who want to get more performance out of their Go code without relying on guesswork or cargo cult patterns.

This course is designed for those new to web performance, a vital aspect of the user experience.

Application performance is not just a simple concern for most organizations; it’s a critical factor in their business’s success.

Performance tuning is an experimental science, but that doesn’t mean engineers should resort to guesswork and folklore to get the job done.

教育部学历查询网站、教育部高校招生阳光工程指定网站、全国硕士研究生招生报名和调剂指定网站。

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.

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.