#go #database #go #mariadb #mysql #mysql_driver #sql

The Go-MySQL-Driver is a lightweight and fast MySQL driver for Go, written purely in Go without any C bindings. It supports connections over TCP/IPv4, IPv6, Unix domain sockets, and custom protocols. Here are the key benefits You can install it using `go get -u github.com/go-sql-driver/mysql`.
- **Automatic Connection Handling** You can configure various settings like timeouts, charset, collation, and more through the Data Source Name (DSN).
- **Advanced Features** It automatically uses utf8mb4_general_ci by default and allows setting other charsets and collations.

Using this driver simplifies interacting with MySQL databases in Go, providing a robust and configurable solution.

https://github.com/go-sql-driver/mysql

#java #bigdata #data_encryption #data_pipeline #database #database_cluster #database_gateway #database_middleware #distributed_database #distributed_sql_database #distributed_transaction #encrypt #mysql #postgresql #read_write_splitting #shard #sql

Apache ShardingSphere is a powerful tool that helps manage and scale databases. It allows you to break down large databases into smaller pieces (sharding), handle more data traffic (scaling), and secure your data with encryption. This tool works with any database and provides a unified way for applications to interact with multiple databases as if they were one.

The benefits include Your database can handle more data and users without slowing down.
- **Improved Security** Applications only need to communicate with one standardized service, making it simpler to manage.
- **Flexibility**: You can customize the tool to fit your needs using its pluggable architecture.

Overall, Apache ShardingSphere makes managing and scaling databases much easier and more efficient.

https://github.com/apache/shardingsphere

#python #hacktoberfest #pypi #sql #sql_linter

SQLFluff is a tool that helps you write better SQL code. It checks your SQL for mistakes and can even fix many of them automatically. It supports many different SQL dialects, like MySQL, PostgreSQL, and Snowflake, and works with templates like Jinja and dbt. This means you can focus on writing your queries instead of worrying about formatting and errors. You can install it using pip, use it in VS Code, or even run it online. It makes your SQL code cleaner and more consistent, saving you time and effort.

https://github.com/sqlfluff/sqlfluff

#swift #database #database_observation #grdb #spm #sql #sql_builder #sqlite #sqlite_databases

GRDB is a Swift library that helps you interact with SQLite databases in a safe and efficient way. Here’s the key information GRDB allows you to save your application’s permanent data into SQLite databases.
- **SQL Generation** You can get notifications when database values are modified.
- **Robust Concurrency** GRDB helps you evolve the schema of your database as you ship new versions of your application.

### Installation
- You can install GRDB using the Swift Package Manager, CocoaPods, or Carthage (though Carthage is unsupported).

### Usage
- Open a database connection using `DatabaseQueue` or `DatabasePool`.
- Define your database schema and create tables.
- Use the `FetchableRecord`, `TableRecord`, and `PersistableRecord` protocols to define your record types.
- Fetch records using methods like `fetchCursor`, `fetchAll`, `fetchSet`, and `fetchOne`.
- Perform CRUD operations (Create, Read, Update, Delete) using methods like `insert`, `update`, `save`, and `delete`.

### Query Interface
- GRDB provides a query interface that lets you write pure Swift instead of SQL.
- You can filter, order, limit, and join records using chainable methods.
- It supports associations and joins.

### Records
- Records are your application objects that can initialize themselves from rows.
- You can define record types using protocols like `FetchableRecord`, `TableRecord`, and `PersistableRecord`.
- Records can be compared against other records or previous versions to avoid unnecessary updates.

### Error Handling
- GRDB throws `DatabaseError` and `RecordError` for various issues.
- It also uses fatal errors to indicate programmer errors or misuses.
- You can configure error logging and tracing to monitor database operations.

### Encryption
- GRDB supports encryption using SQLCipher.
- You can create or open an encrypted database by providing a passphrase.

### Backup and Interruption
- You can backup a database into another.
- The `interrupt` method can cause any pending database operation to abort.

### FAQ
- GRDB provides answers to common questions about opening connections, SQL queries, general usage, associations,

https://github.com/groue/GRDB.swift

#c_lang #ai #big_data #c #cloudberry #data_analysis #data_warehouse #database #distributed_database #greenplum #mpp #olap #postgres #postgresql #sql

Apache Cloudberry is a powerful, open-source database designed for large-scale data processing and analytics. It is built by the creators of Greenplum Database and uses a newer PostgreSQL kernel, making it suitable for data warehouses and AI/ML workloads. You can easily try it out using a Docker-based sandbox or build it from source on Linux or macOS. The community is active, with many channels for support, discussions, and contributions. This means you can get help quickly, share ideas, and even contribute to the project yourself. It's licensed under the Apache License, Version 2.0, making it free to use and modify. Overall, Apache Cloudberry offers advanced database capabilities and a supportive community, which can greatly benefit users needing robust data management solutions.

https://github.com/apache/cloudberry

#go #api_gateway #application_security #appsec #blueteam #bruteforce #captcha #cve #cybersecurity #firewall #hackers #http_flood #security #self_hosted #sql_injection #vulnerability #waf #web_application_firewall #web_security #websecurity #xss

SafeLine is a tool that helps keep your web applications safe from attacks. It acts like a shield between your website and the internet, filtering and blocking bad traffic. This protects your site from things like SQL injection, XSS, and other types of attacks. SafeLine also has features like rate limiting to stop too much traffic, anti-bot challenges to block bots, and dynamic protection to encrypt your HTML and JS codes. Using SafeLine makes your web apps more secure, which is important to protect your data and users.

https://github.com/chaitin/SafeLine

#haskell #api #automatic_api #database #haskell #http #pg #pgsql #postgres #postgresql #postgrest #rest #server #sql

PostgREST is a tool that turns your PostgreSQL database into a RESTful API quickly and efficiently. It provides a fast, standards-compliant API without you having to write it from scratch. Here are the key benefits It offers subsecond response times and can handle up to 2000 requests per second, even on a free Heroku tier.
- **Security** It generates self-documenting APIs using OpenAPI standards and ensures data integrity by enforcing database constraints.
- **Performance**: Written in Haskell, it uses efficient database connections and lightweight threads for high performance.

Overall, PostgREST makes creating and managing APIs easier, faster, and more secure.

https://github.com/PostgREST/postgrest

#rust #database #embedded_database #sql #sqlite3 #webassembly

Limbo is a new database system that works like SQLite but is built in Rust and supports asynchronous I/O. This means it can handle tasks faster and more efficiently. You can use Limbo in various programming languages like JavaScript, Python, and directly through a command-line interface. It's easy to install and use, and it allows you to create and query databases quickly. The benefit to you is that Limbo provides a fast, efficient, and compatible database solution that can be integrated into your projects easily.

https://github.com/tursodatabase/limbo

#typescript #agent #bigquery #charts #duckdb #genbi #gpt #llm #openai #postgresql #rag #reporting #spreadsheets #sql #sqlai #text_to_sql #text2sql

Wren AI is a free, open-source tool that helps you get insights from your data easily. You can ask questions in any language, and it will generate the necessary SQL queries to get the answers. It integrates well with tools like Excel and Google Sheets, making it easy to analyze and visualize your data. Wren AI also suggests follow-up questions to help you dig deeper into your data without needing to write code. This makes it simpler for anyone, regardless of their technical skills, to understand and use their data effectively.

https://github.com/Canner/WrenAI

#java #analytics #big_data #cloudnative #database #datalake #delta_lake #distributed_database #hudi #iceberg #join #lakehouse #lakehouse_platform #mpp #olap #real_time_analytics #real_time_updates #realtime_database #sql #star_schema #vectorized

StarRocks is a very fast query engine for analyzing data quickly, even in just a second. It works 3 times faster than other similar tools and doesn't require you to move or change your data. Here are some key benefits:
- It uses advanced technology to speed up queries.
- It supports standard SQL and works with various clients and BI software.
- It optimizes complex queries efficiently.
- It allows real-time updates and direct access to data from different sources.
- It manages resources well and is easy to maintain and scale.

Using StarRocks can help you analyze data much faster and more efficiently, making your work easier and quicker.

https://github.com/StarRocks/starrocks

#clojure #analytics #bi #business_intelligence #businessintelligence #clojure #dashboard #data #data_analysis #data_visualization #database #metabase #mysql #postgres #postgresql #reporting #slack #sql_editor #visualization

Metabase is a simple, open-source tool that helps everyone in your company ask questions and learn from data without needing to know SQL. You can set it up in just five minutes and create interactive dashboards, define key metrics, and send data to Slack or email. It also allows you to set alerts for data changes and embed charts into your app. Metabase supports various databases and can be run almost anywhere. Using Metabase, you can make better decisions with your data easily and quickly, making it a valuable tool for your team.

https://github.com/metabase/metabase

#python #ai #csv #data #data_analysis #data_science #data_visualization #database #datalake #gpt_4 #llm #pandas #sql #text_to_sql

PandaAI is a tool that lets you ask questions about your data using natural language. It's helpful for both non-technical and technical users. Non-technical users can interact with data more easily, while technical users can save time and effort. You can load your data, save it as a dataframe, and then ask questions like "Which are the top 5 countries by sales?" or "What is the total sales for the top 3 countries?" PandaAI also allows you to visualize charts and work with multiple datasets. It's easy to install using pip or poetry and can be used in Jupyter notebooks, Streamlit apps, or even a secure Docker sandbox. This makes it simpler and more efficient to analyze your data.

https://github.com/sinaptik-ai/pandas-ai

#python #ansible #aws #azure #coding #containers #devops #docker #git #interview #interview_questions #kubernetes #linux #openstack #production_engineer #prometheus #python #sql #sre #terraform

This repository contains a collection of exercises and questions on various technical topics, including DevOps and SRE. It offers 2624 exercises that can be useful for preparing for interviews or learning new concepts. The repository covers a wide range of subjects such as networking, operating systems, cloud computing, and more. By using these resources, you can improve your skills in areas like software development, infrastructure management, and system reliability engineering. This helps you become more proficient in handling complex IT environments and enhances your career prospects in related fields.

https://github.com/bregman-arie/devops-exercises

#go #cicd #data_masking #data_security #database_access #dbeaver #devsecops #flyway #gitops #liquibase #mongodb #mysql #oracle #pam #postgresql #schema_migrations #security #snowflake #sql_client #sqlserver #tidb

Bytebase is a tool that helps manage databases more efficiently. It automates tasks like schema migrations and backups, making it easier to collaborate on database changes. Bytebase supports multiple databases and integrates well with CI/CD pipelines. It also provides features like role-based access control and data masking for better security. Using Bytebase simplifies database management, reduces errors, and saves time, making it beneficial for developers and database administrators.

https://github.com/bytebase/bytebase

#typescript #data_visualization #database #database_schema #documentation #documentation_tool #entity_relationship_diagram #er_diagram #erd #nodejs #orm #postgresql #prisma #react_flow #reactjs #ruby_on_rails #sql #tbls #typescript #visualization #webassembly

Liam ERD is a tool that helps you create easy-to-understand diagrams of your database. It makes interactive diagrams that you can zoom in and out of, filter, and explore easily. This tool is useful for both small and large projects, handling over 100 tables with ease. It's simple to set up and is open-source, meaning you can contribute to it. Using Liam ERD helps you visualize complex database structures quickly, making it easier to understand and work with your data. This saves time and reduces errors compared to drawing diagrams manually.

https://github.com/liam-hq/liam

#typescript #database #db #db_migration #editor #erd #mariadb #mssql #mysql #postgresql #react #react_flow #schema_migrations #sql #sqlite #typescript #visualization #xyflow

ChartDB is a powerful tool that helps you visualize and manage your database schema easily. It allows you to import your database structure with just one query and view it as a diagram. You can edit this diagram interactively, which makes it easier to understand and work with complex databases. ChartDB also uses AI to help you export your database schema to different systems, like from MySQL to PostgreSQL, making migrations simpler. This tool is open-source and available online or for local use, making it very useful for developers to design and collaborate on databases more efficiently.

https://github.com/chartdb/chartdb

#typescript #ai_app_builder #ai_applications #crud_app #crud_application #data_application #data_apps #internal_tools #it_workflows #low_code #low_code_no_code #low_code_platform #no_code #no_code_platform #open_source #rest_api_framework #sql_gui #workflow_apps #workflow_automation #workflow_engine

Budibase is an open-source, low-code platform that helps you build internal tools like forms and apps quickly. It saves engineers a lot of time by making it easy to create and automate business processes. You can connect data from many sources and design your apps with powerful components. Budibase also allows you to automate tasks and integrate with other tools, which helps streamline your work. It's easy to use, even for those without much coding experience, and you can host it yourself or use their cloud service. This makes it a great tool for teams looking to build custom applications efficiently.

https://github.com/Budibase/budibase

#typescript #bigquery #cassandra #cockroachdb #database #electron #firebird #linux_app #mac_app #mariadb #mssql #mysql #postgresql #sql #sql_server #sqlite #windows_app

Beekeeper Studio is a free, open-source SQL editor and database manager that works on Windows, Mac, and Linux. It supports many databases like MySQL, PostgreSQL, and SQLite. The app offers features like auto-complete SQL queries, syntax highlighting, and a tabbed interface for multitasking. You can sort and filter data, save queries, and even export data in formats like CSV or JSON. It's designed to be easy to use and enjoyable, making database management simpler for everyone. You can download it for free and upgrade to premium features if needed.

https://github.com/beekeeper-studio/beekeeper-studio

#python #copilot #csharp #dotnet #github #github_copilot #github_copilot_chat #github_copilot_for_azure #github_copilot_free #github_copilot_training #javascript #lab #labs #microsoft #python #sql #tutorial #tutorial_code #tutorial_exercises #visual_studio_code #vscode

GitHub Copilot’s new Agent Mode is a powerful AI coding partner that goes beyond just suggesting code—it can independently write, debug, and improve your code, handle complex workflows, and even fix its own mistakes automatically. It works with multiple programming languages and integrates with popular development tools, helping you save time on repetitive tasks like testing, deployment, and refactoring. By using natural language prompts, you can guide it to complete multi-step projects, making coding faster and easier whether you’re a beginner or an expert. This course teaches you how to fully use these features, boosting your productivity and coding skills.

https://github.com/microsoft/Mastering-GitHub-Copilot-for-Paired-Programming

#rust #ai #bigdata #database #lakehouse #olap #rust #serverless #snowflake #sql

Databend is an open-source, cloud data warehouse built with Rust that offers a fast, cost-effective alternative to Snowflake. It supports both cloud and on-premise deployment, handles massive data (over 800 petabytes), and processes over 100 million queries daily. Databend excels in fast query execution, real-time data updates, and simplified data ingestion without extra ETL tools. It includes AI-powered analytics, advanced indexing, ACID compliance, and flexible schema support for semi-structured data. Using Databend can save you money, give you full control over your data, and provide high performance for complex analytics on large datasets[1][3].

https://github.com/databendlabs/databend