Mage Pro customer success story: Ion Solar??? Ion Solar, a leader in residential and commercial solar energy solutions, adopted Mage Pro as solution to improve their resource management and tackle rising operational costs. Ion Solar’s transition from Mage open-source to Mage Pro resulted in: ? Simplified Operations: Freed from backend maintenance, Ion Solar's data team could focus on building more pipelines and developing innovative data products ? Cost Efficiency: Auto-scaling resources with Mage Pro led to significant cost savings and optimized budget management. ? Exceptional Support: Mage’s team provided hands-on assistance throughout onboarding and deployment, ensuring a smooth migration and continuous platform improvements. We’re proud Mage Pro was able to enhance Ion Solar’s data operations, allowing them to focus on their mission of providing high-quality solar systems and services. Imagine what your team could achieve with Mage Pro! Express your interest by filling out this short form:?https://lnkd.in/gCcUEP9D
Mage
软件开发
Santa Clara，California 18,768 位关注者
??♀? Data engineers use Mage to build, run, and manage data and AI/ML pipelines, and LLM orchestration (e.g. RAG).
关于我们
Mage provides a collaborative workspace that streamlines the data engineering workflow, enabling rapid development of data products and AI applications. Data engineers and data professionals use Mage to build, run, and manage data pipelines, AI/ML pipelines, build Retrieval Augmented Generation systems (RAG), and LLM orchestration. Mage is the only data platform that combines vital data engineering capabilities to make AI engineering more accessible. Chat: https://mage.ai/chat Open source: https://github.com/mage-ai/mage-ai
- 网站
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https://mage.ai
Mage的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- Santa Clara，California
- 类型
- 私人持股
- 创立
- 2021
- 领域
- AI、ML、Data Engineering、Data Pipelines、LLM、LLM Orchestration、Data Integration、RAG、Augmented Retrieval Generation、Transformation、Orchestration和Streaming Pipelines
产品
![点击此处查看Mage]()
Mage
数据科学与机器学习平台
?? The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.
地点
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主要
获取路线
US，California，Santa Clara，95050
Mage员工
动态
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Stop wasting resources! Include sensor blocks to your workflows to add efficiency, accuracy, and reliability ?? Sensor blocks continuously monitor specific conditions within a data pipeline. Unlike regular blocks that execute based on a predefined schedule or trigger, sensor blocks remain active, evaluating conditions until they are satisfied or a set period elapses. Why you should use sensor blocks: ???Precision Execution: Sensor blocks trigger downstream processes only when specific conditions are met, preventing unnecessary runs and improving pipeline reliability and accuracy. ???Cross-Pipeline Monitoring: Sensor blocks monitor and integrate external pipelines, seamlessly managing dependencies across workflows for more efficient data orchestration. ???Resource Optimization: Time-bound sensor blocks prevent resource overuse, keeping your pipeline responsive without wasting processing power on continuous monitoring. ?? Link in the comments to learn how you can implement sensor blocks in your workflows ???Join our community of over 6600 data engineers: mage.ai/chat
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Mage转发了
Founder & Principal Architect, Cloud Shuttle Data Consultancy | AWS Serverless Hero | Leading Voice in Data Engineering | Founder of DataEngBytes Conference
Multitudes are delivering big with Mage! ??♀? Our team at Cloud Shuttle recently rolled out the data platform orchestration tool for them and they're already delivery customer facing features... talk about a productive stack! If you'd like to find out how you can increase the productivity of your data team and maximise the value out of your data platform, reach out to me and the Cloud Shuttle team at [email protected] Congrats once again to Multitudes who are doing amazing work with data to improve developer wellbeing. ?
? Google Calendar integration now live: Protect your focus time with Multitudes ? Plus: Have a globally-distributed team? See the wellbeing impact of out-of-hour meetings. ? Finding the focus time needed for deep work and complex problem solving, without interruptions, can be challenging. Given that so many engineering teams are globally distributed, meetings can take time away from feature work and result in out-of-hours work, which has an impact on wellbeing and project delivery. A recent study showed 68% of workers say that the amount of meetings they're expected to attend interferes with their ability to get their work done ?? We're stoked to help teams protect focus time and see what meetings took away from feature work ? Cal Newport's research shows that deep work requires uninterrupted hours of time. And Clockwise's research with engineering managers shows that ~80% want at least 1-3 hours of uninterrupted work time each day. (More in Clockwise's round-up.) ?? That's why Multitudes now integrates with Google Calendar to show focus time and meeting load for you and your team. With this new feature, you'll get insights on: - Focus time – how much time your team is getting time for deep work - How much time your team is spending in meetings during the week – and how much less time for feature work - The wellbeing impact of out-of-hours meetings - New 1:1 insights and conversation starters based on your meeting burden. Want human-centric metrics? Try it out with a 1-month free trial (Link in comments) #InclusiveTech #EthicalTeamAnalytics #EngineeringPerformance #EngineeringEffectiveness #Multitudes
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Mage转发了
Quite possibly the hardest algorithm we've made to date. We now compute focus time - how much time you get to actually focus between meetings plus what your team's meeting load looks like! Google Calendar data is not the most straight forward ?? It's also our first Mage pipeline in production! Big thanks to Cloud Shuttle for helping us get this off the ground! Our data pipelines have never been faster ??
? Google Calendar integration now live: Protect your focus time with Multitudes ? Plus: Have a globally-distributed team? See the wellbeing impact of out-of-hour meetings. ? Finding the focus time needed for deep work and complex problem solving, without interruptions, can be challenging. Given that so many engineering teams are globally distributed, meetings can take time away from feature work and result in out-of-hours work, which has an impact on wellbeing and project delivery. A recent study showed 68% of workers say that the amount of meetings they're expected to attend interferes with their ability to get their work done ?? We're stoked to help teams protect focus time and see what meetings took away from feature work ? Cal Newport's research shows that deep work requires uninterrupted hours of time. And Clockwise's research with engineering managers shows that ~80% want at least 1-3 hours of uninterrupted work time each day. (More in Clockwise's round-up.) ?? That's why Multitudes now integrates with Google Calendar to show focus time and meeting load for you and your team. With this new feature, you'll get insights on: - Focus time – how much time your team is getting time for deep work - How much time your team is spending in meetings during the week – and how much less time for feature work - The wellbeing impact of out-of-hours meetings - New 1:1 insights and conversation starters based on your meeting burden. Want human-centric metrics? Try it out with a 1-month free trial (Link in comments) #InclusiveTech #EthicalTeamAnalytics #EngineeringPerformance #EngineeringEffectiveness #Multitudes
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Mage转发了
Coordenador de equipe | Analista de dados | Administrador de banco de dados | ERP | Engenheiro de dados | Power BI | Dashbord | MySql | SqlServer | SQL | Data | BI | Python | AWS
?? Novo artigo no GitHub: Automatizando Análises de Dados com Mage AI e Gemini AI! Recentemente, publiquei um projeto no GitHub onde utilizei várias ferramentas poderosas para criar fluxos de dados automatizados e gerar análises de forma eficiente. No artigo, você encontrará uma combina??o de tecnologias que inclui: Mage AI: Uma ferramenta incrível para cria??o e gerenciamento de fluxos de dados. PostgreSQL: Utilizado para armazenar os dados de forma estruturada e confiável. Python: A linguagem principal para a lógica e processamento de dados. Gemini AI: Usado para realizar análises avan?adas de dados, criando visualiza??es e documenta??es automaticamente. MkDocs: Utilizado para gerar a documenta??o completa das análises feitas pela Gemini AI. ?? Confira o artigo completo no GitHub e veja como integrei essas tecnologias: https://lnkd.in/dRHnBDr7 #DataScience #AI #Python #GeminiAI #MageAI #PostgreSQL #MkDocs #Automa??oDeDados
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??♀? Community Spotlight: Regina Righelato ?? Regina leveraged her expertise in Mage and her design talent to create an incredible presentation that demonstrates how to transform your data using Mage! Whether you're a data professional looking to learn Mage or an existing Mage user seeking fresh perspectives on new techniques, you need to check this out! Thank you for your contribution, and showing the magic of Mage, Regina! ?? Check out Regina’s awesome tutorial:?https://lnkd.in/gmNmnc_G ?? Join our community of over 6500 data engineers:?mage.ai/chat
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Mage转发了
Yes!! We absolutely love Mage here at Ion. Opens up the door to so many cool projects making a big impact. Thanks for all the time and effort you guys have put into this awesome tool! Tommy Dang Xiaoyou Wang
Mage Pro customer success story: Ion Solar??? Ion Solar, a leader in residential and commercial solar energy solutions, adopted Mage Pro as solution to improve their resource management and tackle rising operational costs. Ion Solar’s transition from Mage open-source to Mage Pro resulted in: ? Simplified Operations: Freed from backend maintenance, Ion Solar's data team could focus on building more pipelines and developing innovative data products ? Cost Efficiency: Auto-scaling resources with Mage Pro led to significant cost savings and optimized budget management. ? Exceptional Support: Mage’s team provided hands-on assistance throughout onboarding and deployment, ensuring a smooth migration and continuous platform improvements. We’re proud Mage Pro was able to enhance Ion Solar’s data operations, allowing them to focus on their mission of providing high-quality solar systems and services. Imagine what your team could achieve with Mage Pro! Express your interest by filling out this short form:?https://lnkd.in/gCcUEP9D
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Mage转发了
?Vos con qué hacés tu ETL? ?? Si no conocés ?Mage AI?, te estás perdiendo una excelente herramienta open-source para simplificar tus procesos de extracción, transformación y carga de datos. ? Es fácil de implementar y está pensada para construir procesos de ETL de manera ágil y adaptable. ?Te invito a ver esta presentación rápida para descubrir cómo transformar tus datos con un poco de magia... ??♀? ... y pingüinos! ?? ?
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Mage转发了
Data Analytics Engineer building people and pipelines through 3 best practices: emphasis on impact, data modeling for scale, and clean code. | Building marTech with dbt, Snowflake, Looker.
I want to learn Docker. This is my 60-second Docker Masterclass for Linkedin (From an analytics engineer perspective) 1. Cut the fluff, your dbt is a project (ie an app) 2. Onboarding a new engineer takes minutes with Docker, not hours to set up their new machine 3. If you've never touched Docker start with Mage's tutorial 4. Check out Nana's Docker Crash Course (links in the comments.) 5. Start with python:3:10-slim for your base image 6. You will want to copy your profile.yml into your project 7. Your Dockerfile just takes an image of your project that you can upload and run on any machine. It doesn't mess with your code. Take your new hires from point A → B consistently. Modular code starts with your project dependencies. Do this before you onboard your next team member. Clear code. Clear results.
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???In September we introduced many new and magical features in Mage Pro! These features were designed to facilitate teamwork, improve security and access control, and provide critical insights for maintaining and optimizing data infrastructure. ?? ?? Regional deployment ?? Dynamic blocks 2.0 ?? User management page ?? Improved environment variables UX ?? Realtime cluster usage monitoring Transform your data insights by accessing all these features and more with Mage Pro! ?? Express your interest in getting access to our private beta by filling out this short form: https://lnkd.in/gCcUEP9D