阿里巴巴数据技术及产品部-大模型数据平台研发工程师/专家-AIData

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.

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.

中文，免费，零起点，完整示例，基于最新的Python 3版本。

a free interactive Python tutorial for people who want to learn Python, fast.

Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!

This course will give you a full introduction into all of the core concepts in python.

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.

Microservice applications are composed of small, independently versioned, and scalable customer-focused services that communicate with each other by using standard protocols and well-defined interfaces.

Microservices - also known as the microservice architecture - is an architectural style that structures an application as a collection of two or more services.

Building small, self-contained, ready to run applications can bring great flexibility and added resilience to your code.

Microservices, or microservices architecture, is a cloud-native architectural approach in which a single application is composed of many loosely coupled and independently deployable smaller components or services.

Learn about software system design and microservices.

Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008.

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.

This document is intended as a "getting started" guide to using and running the Lucene demos.

Lucene is an extremely rich and powerful full-text search library written in Java.

Apache Lucene is a full-text search engine which can be used from various programming languages.

In this presentation I go over Apache Lucene, being the cornerstone technology behind Elasticsearch.

Faiss is a library for efficient similarity search and clustering of dense vectors.

In this section we’ll use this information to build a search engine that can help us find answers to our most pressing questions about the library!

This page provides a list of tutorials for you to interact with Milvus.

In this tutorial, we’ll explore Milvus, a highly scalable open-source vector database.

Discover the power of Milvus, an open-source vector database revolutionizing AI applications.

Vector databases have been trending recently as they power modern search, recommendations, and AI-driven applications.