データ · GitHub

『Designing Data-Intensive Application』（DDIA）第1版・第2版の中国語訳。

Find exploits in local and online databases instantly

一个支持多种不同类型数据库，覆盖事前控制、事后监督、标准发布场景，帮助您建立质量规范的SQL全生命周期质量管理平台

AI Powered Analytics

• Native desktop application performance with web technologies
• Interactive SQL query editor with syntax highlighting LLM Integration

ELTパイプラインやAIエージェント向けのオープンソースのデータ連携ツール。API、データベース、ファイルから、データウェアハウス、データレイク、AIアプリケーションへデータを移動できます。セルフホストとCloudの両方に対応。

An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All components are containerized with Docker for easy deployment and scalability.

Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.

Python CLI for Google Trends analysis with advanced rate limiting, cookie auth, and beautiful terminal output. Built on pytrends with enterprise features.

AlibabaのMySQL binlog増分サブスクリプションおよび消費コンポーネント

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

AI-powered Jupyter Notebook. Use AI to generate and edit code cells, automatically fix errors, and chat with your data

Android のデータベースと SharedPreferences をデバッグするためのライブラリ――デバッグを再び偉大なものに

• See all the databases.
• See all the data in the shared preferences used in your application.

A hackable data integration & analysis tool to enable non technical users to edit data processing jobs and visualise data on demand.

• Drag and Drop Pipeline Editor
• Low Code (Most of the analysis & processing can be done with SQL)

A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more!