Resources

MongoDB Atlas Search 入門實戰攻略

日期: July 3, 2025 時時間: 10:00 AM (HKT) Atlas Search 結合 Apache Lucene 的力量 - 這是世界上最受歡迎搜尋引擎背後的技術 - 由 MongoDB Atlas 背後開發人員集結高效能、擴充性和彈性完成，讓您的所有 MongoDB 應用程式比以往更容易整合相關快速搜尋功能。 參加我們的 Atlas Search 簡介線上研討會，幾個點選動作和鍵盤敲擊動作，我們就能揭開搜尋列背後的奧妙。我們將徹底搜尋不同的資料類型，包括文字、數字、日期和 geoJSON，同時探索各式各樣的搜尋功能。 無論您是初探資料庫領域的新手，還是想溫故知新的開發者，這場線上網路研討會將帶您從根本理解 Atlas Seach 的運作精髓，並透過即時操作示範，快速提升實戰效率！

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Intro to Atlas Search Webinar

July 2, 2025 10:00 AM HKT Atlas Search combines the power of Apache Lucene — the technology behind the world’s most popular search engines — with the efficiency, scale, and resilience of MongoDB Atlas to make it easier than ever to integrate fast, relevance-based search capabilities into all of your MongoDB applications. This webinar will show you how to search through different data types, including text, numbers, dates, and geoJSON and demonstrate a variety of search capabilities. (This webinar will be delivered in Cantonese)

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Adopting AI-Driven Transformation with MongoDB, Capgemini and AWS

Our recent webinar, “Adopting AI-Driven Transformation with MongoDB, AWS, and Capgemini,” is now available on demand. In this webinar, presenters from MongoDB, AWS, and Capgemini discuss an AI-powered integration enhances customer engagement, streamlines operations, and drives growth across industries. Watch this webinar to learn how to: Seamlessly integrate AI-driven capabilities into operations and core applications. Move beyond legacy limitations and unify data across disparate, siloed systems. Accelerate application development and shrink time-to-market with prebuilt accelerators for industry-specific domains. Use AWS services, like Amazon Lex and AWS Lambda to enable personalized, scalable conversational AI across channels.

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Session 1 - Data Modeling for MongoDB

In this workshop on data modeling to learn how MongoDB’s flexible document model compares to traditional relational models. Together, we’ll walk through the MongoDB data modeling methodology: Identify entities Quantify application workloads Model relationships with embedding or referencing We’ll apply this methodology through practical exercises to build the schema for a sample application—a library management system. Additionally, you will learn how to use MongoDB’s schema validation to ensure data integrity and consistency. At the end of this workshop, you will have the opportunity to earn the Relational to Document Model MongoDB skill badge that you can add to your LinkedIn profile.

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Session 2 - Schema Design Patterns and Antipatterns

In this hands-on data modeling workshop, we will explore common MongoDB schema design patterns and learn how to avoid antipatterns. You will get first-hand experience with the following patterns: Extended reference Computed Inheritance We’ll also cover common schema design antipatterns: Unbounded arrays Bloated documents You’ll learn not only how to identify these antipatterns but also why they can be detrimental to your database’s performance. At the end of this workshop, you’ll have the opportunity to earn the Schema Design Patterns and Antipatterns MongoDB skill badge that you can add to your LinkedIn profile.

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Session 3 - Simplify Data Processing with the Aggregation Framework

Elevate your querying skills with this hands-on workshop. Dive deep into MongoDB's Aggregation Framework, unraveling its potential to construct intricate queries. Join us for a hands-on experience, where you'll tackle exercises that empower you to use aggregation pipelines effectively. By the end, you'll wield the tools you need to conquer complexity and harness MongoDB's querying prowess. At the end of this workshop, you’ll have the opportunity to earn the Fundamentals of Data Transformation skill badge that you can add to your LinkedIn profile.

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Intro to AI Agents and Agentic Systems

June 19, 2025 10 a.m. BST AI agents and agentic systems are revolutionizing the way AI applications interact with data, tools, and the Internet. In this webinar, you'll gain a foundational understanding of AI agents, their key characteristics, and how they function within agentic systems to execute complex tasks autonomously. Staff Developer Advocate, Richmond Alake will walk through the core components of agentic systems demonstrating how multiple AI agents can collaborate, leverage external tools, and interact with databases for dynamic decision making. Through hands-on examples, you’ll learn how to: Build AI Agents powered by LLMs. Develop agentic systems with multiple AI agents orchestrating workflows. Enable AI agents to interact with databases, including querying MongoDB. Connect AI agents to external tools and the Internet for real-time information retrieval. Optimize agentic systems for scalability, reliability, and performance. By the end of this session, you’ll have a clear understanding of the current state of AI agents, a feel for where AI applications are heading, and the skills to build powerful, scalable agentic systems with MongoDB. Whether you're a developer, engineer, or AI enthusiast, this webinar will equip you with the knowledge to start building AI-driven applications today.

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Back to Basics 深入淺出 - MongoDB 零基礎快速上手

本次研討會中，您將深入掌握「文件型資料庫」的核心知識，剖析其如何以靈活性與擴展性，成為傳統關聯式資料庫的熱門替代方案。除了理論解析，您還能獲得實戰建議，學習如何充分發揮MongoDB的技術潛能。透過「溫故知新」系列網路研討會，我們將引導您探索全球最普及的NoSQL資料庫——MongoDB的基礎架構與設計精髓。 無論您是初探資料庫領域的新手，或已具備技術背景的開發者，本活動皆能為您提供關鍵洞見與實用工具，讓您在雲端時代的數據浪潮中掌握先機、脫穎而出！

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Back to Basics with MongoDB Webinar Hong Kong

Sign up to learn the fundamentals of the document database and why they have become the widely used alternative to traditional relational databases, with direct access to a MongoDB expert who will help you make the most of MongoDB. In Back to Basics webinar, we'll introduce you to the foundational concepts of the world's most popular NoSQL database, MongoDB and explain how you can leverage the MongoDB Cloud to build modern, data-driven applications.

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Build Real AI Success: From Vectors to Value with MongoDB Atlas on Azure

Build Real AI Success: From Vectors to Value with MongoDB Atlas on Azure Join MongoDB and Microsoft experts to explore how Atlas on Azure powers the next generation of AI with the use of RAG, machine learning, and agentic systems. Register for the session that works best for you: June 12 | 10:30am BST June 18 | 11:00am ET July 24 | 1pm SGT Agentic AI is reshaping the future of application development, enabling systems to reason, act autonomously, and evolve in real time. But success with agentic systems requires a data foundation that is secure, scalable, and flexible enough to handle hybrid search, vector embeddings, and transactional workloads all in one. Join MongoDB and Microsoft for an educational and engaging webinar, “From Vectors to Value: Why MongoDB Atlas on Azure for Agentic Systems.” Find out how leading enterprises are building intelligent, AI-driven applications using MongoDB Atlas and Microsoft Azure. You’ll learn how to: Accelerate AI innovation using the MongoDB Atlas modern database platform, designed for change Build powerful agentic systems with Azure AI Foundry and MongoDB’s native support for vector search, hybrid search, and real-time reasoning Optimize storage and compute with Atlas Vector Search Nodes built to scale cost-effective infrastructure for gen AI Deploy securely with deep Azure integration and industry-leading encryption capabilities See how MongoDB Atlas on Azure can take you from pilot to production faster, with the flexibility to adapt, the security to scale, and the intelligence to act. Speakers: June 12: Dario Maddaluno (MongoDB) + Madhu Padmanabhan (Microsoft) June 18: Paul Leury (MongoDB) + Azim Uddin (Microsoft) July 24: Babu Srinivasan (MongoDB) + Madhu Padmanabhan (Microsoft)

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How Iron Mountain Redefined Data Strategy for Modern Business Needs

In the rapidly changing landscape of modern industries, businesses need agile and robust data solutions to stay ahead. In our recent webinar, “How Iron Mountain Redefined Data Strategy for Modern Business Needs,” we explored MongoDB's flexible and powerful architecture, data model, and out-of-the-box capabilities that are essential for driving innovation at speed and scale. Presenters from MongoDB and our trusted partner, Iron Mountain, explained how MongoDB empowers businesses to adapt and thrive in dynamic environments. Key takeaways: Understand the architectural differences between MongoDB and traditional relational databases. Discover how MongoDB’s document data model enhances development speed and flexibility. Explore real-world use cases showcasing MongoDB's effectiveness in supporting diverse applications, from transactions to AI. This engaging session is now available on demand. Watch it now to gain valuable insights that will elevate your ability to deliver transformative user experiences using data.

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Become AI-Ready With MongoDB Atlas on Azure

MongoDB Atlas on Microsoft Azure is the foundation for building modern, secure, and AI-powered applications. This e-book walks you through how you can unify, secure, and scale your data in the cloud while tapping into the power of generative AI, real-time analytics, and intelligent applications. With deep integrations into Azure AI, Microsoft Fabric, and Azure Databricks, MongoDB Atlas gives you everything you need to build the next generation of apps—faster and more efficiently. Its flexible document model supports structured and unstructured data, including vector embeddings and operational data, making it ideal for powering retrieval-augmented generation (RAG), agentic systems , and other AI use cases. Explore how organizations like Temenos and Mural are modernizing with MongoDB Atlas on Azure to deliver lightning-fast performance, streamline data governance, and innovate at scale. In this e-book, you’ll learn about: Building AI and agentic systems with MongoDB and Microsoft Atlas’ flexible schema, full-text and vector search, and built-in security support intelligent apps Integrations across Azure AI, Fabric, and Microsoft security tools MongoDB Relational Migrator and Microsoft Cloud Migration Factory (CMF) Globally scalability with 40+ Azure regions and 99.995% SLA Whether you're modernizing an existing workload or building an AI-native application, MongoDB Atlas on Microsoft Azure is your launchpad.

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