Resources

Build Resilient Applications with MongoDB Atlas and HashiCorp Terraform

The HashiCorp Terraform MongoDB Atlas provider automates your data infrastructure deployment by making it easy to provision, manage, and control Atlas configurations as code on any cloud provider through HashiCorp Terraform.

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Building an Industrial Unified Namespace with HiveMQ and MongoDB

As factories become more connected and data-driven, it is essential to have a unified and standardized approach to manufacturing data management. Industrial Unified Namespace (IUN) follows an event-driven architecture topology where different manufacturing applications publish events and context in real-time to a central data repository. This results in a decoupled ecosystem, allowing applications and services to provide and consume data when and where needed. This on-demand webinar delves into the powerful synergy of HiveMQ and MongoDB, showcasing how these technologies collaboratively help customers construct a scalable and flexible Industrial Unified Namespace. We’ll share: The significance of an IUN in Industry 4.0 architectures How HiveMQ and MongoDB play in the manufacturing sector Real-world industrial use cases

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制定 2024 年的 AI 人工智慧藍圖

AI 人工智慧技術與其工具已改變了公司安排優先事項和交付產品的方式。 為了要能更清楚地瞭解相關影響，Retool 最近有針對工程主管、創始人和開發人員進行了問卷調查，好帶大家一同了解各團隊會如何利用 AI 人工智慧的相關工具，以及 AI 人工智慧在其工程團隊中能夠發揮什麼樣的作用。 MongoDB 的產品管理總監 Rachelle Palmer 與 Retool 的工程主管 Cory Wilkerson 將一起探討該如何成功創建並推行 AI 人工智慧的功能與服務。 在這場會晤中，他們跟各位分享了幾個不斷演進的使用案例，以及企業組織該做出哪些改變來支持這些變革。 本次研討活動的主題有： Retool 的《2023 年人工智慧現狀報告》（2023 State of the AI report）的重點資訊和要點分享 為什麼要以及該如何構建 AI 人工智慧的相關功能與服務 如何使用 MongoDB Atlas Vector Search 和檢索增強生成（RAG）來推行結合了大型語言模型與您自有資料的 AI 人工智慧驅動應用程式 如何在貴公司企業的 2024 年藍圖中規劃並實裝 AI 人工智慧的指南

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Build Your AI Roadmap for 2024

AI tech and tools have transformed how companies shape priorities and ship products. To better understand the extent of that impact, Retool recently surveyed engineering leads, founders, and developers to find out how teams are leveraging AI tools and what role AI will play in their engineering teams. MongoDB Director of Product Management, Rachelle Palmer, joined Cory Wilkerson, Engineering Lead at Retool to discuss how to successfully build and ship AI features. In the session, they covered the evolving universe of use cases and how organizations are making changes to support them. Topics included: Key learnings and takeaways from Retool’s 2023 State of the AI report Why and how to build AI features How to ship AI-powered apps that combine LLMs with your own data using MongoDB Atlas Vector Search and RAG Guide for implementing AI into your 2024 roadmap

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MongoDB Atlas解鎖GenAI應用服務

本次線上會議分享了如何使用MongoDB Atlas開發者平台建構現代機器學習(ML)驅動的應用程式，例如即時詐騙偵測、超個性化、聊天機器人等。並介紹MongoDB Atlas如何領先提供ML集成平台分析能力，建立生成式人工智慧解決方案(HuggingFace 和OpenAI)。

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Modernization: What’s Taking So Long?

Innovation is a fight for the life of the business. Companies that conquer emerging technologies like Generative AI and predictive analytics will paint the competitive landscape for the next decade. We have the technology—and the technical innovators to apply it to your business goals. But businesses must update IT infrastructure and tools to enable the breakthroughs software developers can deliver. Unfortunately, almost 70% of IT modernization projects are slowed or stalled. In this white paper we uncover the most common reasons for modernization project failure, and offer you a roadmap for planning and executing the IT modernization essential to business success. You’ll learn: Why modernization efforts typically stall How to choose the best planning approach for your business Best practices for achieving both technical and business success How MongoDB can help you achieve your modernization goals Data is at the heart of the new technologies that will drive competition. Read the complete white paper to see why MongoDB is the partner you need to innovate for business success.

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Unlock the Future of AI with MongoDB Atlas: Your Guide to AI-Powered Innovation

Dive into the future of artificial intelligence with "The MongoDB Atlas AI Cookbook," your essential guide to harnessing the power of AI. This e-book discusses the technical and architectural requirements for building AI-powered enterprise applications. It includes reference architectures and solutions to get you started on the path towards AI-powered applications and experiences with MongoDB Atlas and Vector Search. It also gives a breakdown of the five requirements for winning with AI. These AI solutions are presented through six common use cases to help you untangle the complexities around building AI applications: Gen-AI powered video summarization Automating digital underwriting with Machine Learning Real-time Card Fraud detection AI-enhanced claims adjustment for auto insurance Real-time dynamic pricing Personalized product search Download the MongoDB Atlas AI Cookbook now and get a jumpstart on your AI journey.

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現代化： 究竟為何會需要耗費這麼久的時間呢？

創新是一種堵上企業命脈的奮鬥。征服生成式人工智慧和預測分析等新興技術的公司將能搶先眾人描繪出未來十幾年的業界格局。我們具備相關技術與創新人員，可以幫助您將這些技術應用在您的業務目標上。但是，企業組織也必須要適時更新 IT 基礎設施和工具，好讓軟體開發人員能夠有辦法突破現況並帶來變革。可惜的是，目前有近 70％ 的 IT 現代化專案都因故延宕或停滯不前了 在本白皮書中，我們揭示了現代化專案會失敗的幾個常見原因，並為您提供了規劃和執行對業務成功而言，一個至關重要的現代化 IT 藍圖。您將能瞭解到： 為什麼現代化業務不好推進 該如何為您的業務安排最佳的規劃方案 實現技術和業務成功的最佳實踐方針 MongoDB 會如何協助您實現您的現代化目標 說到未來勢必將引領潮流的全新技術，就不能不提到好比其重要核心的數據資料了。在您詳閱本編白皮書後，您將能了解為什麼 MongoDB 會是能帶您創新並實現業務成功的合作夥伴。

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Managing MongoDB Atlas Clusters with the Atlas Kubernetes Operator in AWSʼ Elastic Kubernetes Service (EKS)

In this solution brief, learn how you can use MongoDB’s Atlas Kubernetes Operator to manage your Atlas clusters in AWS’ Elastic Kubernetes Service (EKS). Seamlessly integrate MongoDB Atlas into your current EKS deployment pipeline allowing your developers to manage Atlas in exactly the same way they manage their applications running in EKS.

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Manage database infrastructure with AWS CloudFormation and MongoDB Atlas

With AWS CloudFormation and MongoDB Atlas, your AWS based developers can flexibly and easily manage, provision, and deploy MongoDB Atlas resources to build modern applications. MongoDB provides multiple ways for teams to get started with CloudFormation and Atlas making managing infrastructure simple and efficient.

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Atlas 201 eWorkshop (English)

Watch this exclusive workshop to get a full overview on how to migrate from a relational database to MongoDB followed by hands-on exercises and direct access to our expert panel. During this time, you will learn how to: Migrate from a relational databases to MongoDB How to build design patterns using MongoDB How to create aggregation pipelines How to use Atlas Vector Search and AI for context aware search

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Modernize Your Apps with MongoDB Relational Migrator Webinar Hong Kong

As more and more organizations seek to improve performance, scalability, and developer productivity, many are turning to MongoDB as a solution. However, migrating legacy apps from relational databases to MongoDB can be a daunting task. That's where MongoDB Relational Migrator comes in. In this session, we explored how Relational Migrator can help reduce risk and effort throughout the various stages of a migration project, including data modeling, data migration, and application code modernization. Language: Cantonese

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