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Understanding Queryable Encryption: Enhancing Data Security in MongoDB
✅ Try MongoDB 8.0 → https://mdb.link/UDIfEKKBl88-8.0 ✅ Sign-up for a free cluster → https://mdb.link/UDIfEKKBl88-try - In this episode, we dive into the world of queryable encryption with our security specialist. Discover how this innovative feature protects sensitive data while allowing for secure querying without exposing any information. Learn about its applications in industries like banking, healthcare, and government, and how it ensures that even in the event of a data breach, your crown jewels remain safe. We also discuss the recent advancements, including range queries and future enhancements like full-text search. Whether you're a developer or a security professional, this episode provides valuable insights into securing your data with MongoDB.Dec 16, 2024 | 10 min
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Video
❓PostgreSQL vs. MongoDB for GenAI
Find out which data model — RDBMS or document — is better suited for large, complex, generative AI workloads.Dec 04, 2024
Video
PostgreSQL vs. MongoDB: Which Is Better for GenAI?
✅ Github - https://mdb.link/_zg90Rb9S2M - Find out which data model — RDBMS or document — is better suited for large, complex, generative AI workloads. In this video, we compare PostgreSQL and MongoDB to see which handles Generative AI (GenAI) workloads better. We look at their data models, storage engines, and how they manage large, complex data typical in GenAI applications. Through benchmark tests, we show their efficiency in processing large documents and multi-attribute data, helping you choose the right database for your AI projects.Dec 04, 2024
Quickstart
Building Quarkus Application with MongoDB and Panache
In this tutorial, we will learn about building a Quarkus application with Panache and MongoDB. Panache is a Quarkus-specific library that simplifies the development of your Hibernate-based persistence layer.Dec 03, 2024
Tutorial
How to Deploy a Flask Application With MongoDB on Fly.io
Learn how to deploy a Flask Application with MongoDB on Fly.ioDec 02, 2024
Video
Insights on Vector Search and Quantization for Developers and AI Enthusiasts
✅ Try MongoDB 8.0 → https://mdb.link/Nu70pFr88Cc-8.0 ✅ Sign-up for a free cluster → https://mdb.link/Nu70pFr88Cc-try - In this episode of the MongoDB Podcast, we dive deep into the exciting advancements in vector search technology. Join us as we discuss the recent launch of quantization capabilities and how they can significantly reduce costs while enhancing performance. Discover the implications for developers and customers alike, and learn about the future of AI integration within MongoDB. Whether you're a seasoned developer or just starting out, this episode is packed with valuable insights to help you leverage the benefits of vector search in your applications.Dec 02, 2024
Video
Stream Processing Simplified: Joe Niemiec on MongoDB's Latest Innovations
✅ Try MongoDB 8.0 → https://mdb.link/d8v2z6gP6mA-8.0 ✅ Sign-up for a free cluster → https://mdb.link/d8v2z6gP6mA-try - Join us for an insightful conversation with Joe Niemiec, Senior Product Manager for Streaming at MongoDB, recorded live at MongoDB Local London. In this video, Joe explains the fundamentals of stream processing and how it empowers developers to run continuous aggregation queries on real-time data. Discover practical use cases that showcase the power of stream processing in various industries. Joe also discusses the latest enhancements, such as expanded regional support, VPC peering for secure connections, and improved Kafka integration.Nov 29, 2024
Video
Thank you, Developers!
As the year winds to a close, and we look back at all the days, weeks, and months of hard work, we at MongoDB want to thank you, developers, for all that you’ve done to make 2024 special.Nov 28, 2024
Video
Integrating DeepLearning4j + MongoDB
DeepLearning4j (DL4J) is an open-source, distributed deep learning library written for the Java and JVM ecosystem. It is designed to create, train, and deploy deep learning models across various domains, including computer vision, natural language processing (NLP), and more. DeepLearning4j supports multiple types of neural networks, such as convolutional networks (CNNs), recurrent networks (RNNs), and fully connected networks, and is optimized for running on both CPUs and GPUs. This will be a simple app to allow you to upload a model, and query against embeddings stored in MongoDB - ✅ Try MongoDB 8.0 → https://mongodb.prakticum-team.ru/products/updates/version-release ✅ Sign-up for a free cluster → https://mongodb.prakticum-team.ru/cloud/atlas/register ✅ Written tutorial - https://mongodb.prakticum-team.ru/developer/languages/java/ai-powered-playlist-generator/ - 📚 GloVe: Global Vectors for Word Representation - https://nlp.stanford.edu/projects/glove/ 📚 Kaggle: Genius Song Lyrics - https://www.kaggle.com/datasets/carlosgdcj/genius-song-lyrics-with-language-information 📚 Deeplearning4j - https://deeplearning4j.konduit.ai/Nov 27, 2024
Article
Java vs Kotlin: Different Syntax, Same Possibilities
In this article, we’ll cover how to use some MongoDB features, and compare and contrast how they look and feel in Kotlin and Java.Nov 25, 2024
AM
Video
App Modernization Made Easy: Sanjay on MongoDB's Relational Migration Tool
✅ Try MongoDB 8.0 → https://mdb.link/c_2F4IoDoHw0-8.0 ✅ Sign-up for a free cluster → https://mdb.link/c_2F4IoDoHw-free ✅ Subscribe to MongoDB YouTube→ https://mdb.link/subscribe - In this insightful discussion, Sanjay, a Services Delivery Enablement Engineer at MongoDB, shares the exciting features of the Relational Migration tool, designed to simplify app modernization for developers. Recorded live at MongoDB Local London, Sanjay explains how this powerful tool helps users transition from relational databases to MongoDB by analyzing existing schemas and generating optimized MongoDB structures. Learn about the iterative process of migration, the importance of understanding document models, and how AI-powered features streamline the conversion of queries and stored procedures. With real-world examples, discover how Relational Migration is breaking down barriers and accelerating the migration process for organizations. Don't miss this opportunity to enhance your understanding of app modernization with MongoDB!Nov 25, 2024