Intro to MongoDB
11 a.m. ET Ready to begin your MongoDB Atlas adventures — but not sure where to start? Join our Intro to MongoDB webinar at 11 a.m. ET on Wednesday, October 4th to learn more! Senior Developer Advocate Jesse Hall will showcase the unique advantages of the document data model and show you how to deploy an Atlas cluster. Jesse will present a demo of how to get started with MongoDB Atlas and walk you through how to: Create your first cluster, add an IP address and set up a database user Load sample data using a Next.js e-commerce demo app Connect to the database You will also have the opportunity to ask questions throughout the webinar. Register today to save your spot. We look forward to seeing you there!
Application Modernisation eWorkshop with AWS
10am GMT / 11am CET Legacy systems, although once groundbreaking, can hinder an organization's ability to innovate and scale. In this 3 hour eWorkshop we’ll explore the importance of modernizing your data infrastructure to speed up application development and iteration, as well as key features and benefits of using MongoDB Atlas on AWS to get the job done. We will also explore the Generative AI capabilities that enhance the customer experience and developer productivity. Why Modernize with MongoDB Atlas on AWS? The combined capabilities of MongoDB Atlas and AWS make it easy to focus on consistently shipping exceptional features and products anywhere in the world, all while improving developer productivity and customer experience in the digital age. MongoDB’s flexible document model makes building and evolving applications simple, replacing the rigidity and development friction of relational databases. MongoDB's Relational Migrator can accelerate application modernization by streamlining schema design and data migration. Join our MongoDB speaker, Luiz Alvez and our AWS speaker, Rohan Ghosh to learn more about modernizing your data infrastructure. Your ability to innovate depends on it, and MongoDB Atlas on AWS can help - learn how.
Powering Connected Vehicles with MongoDB and Amazon Web Services (AWS)
Connected vehicle capabilities are no longer a luxury – they’re a necessity. Customer buying decisions are increasingly dependent on software functionality and integration into their digital lifestyles, and connected vehicle applications can unlock a new level of information and control, way beyond the physical driving experience. MongoDB Atlas on AWS removes the non-diferentiating integration or “technical plumbing” work between vehicles, the cloud, and mobile apps, and accelerates building the next generation of digital twin applications.
Design & Analysis: Stateless Document Database Encryption Scheme
Most of the research on encrypted database systems has focused on relational databases but over the last ten years NoSQL and, in particular, document databases have gained a great deal of popularity in the Industry. A key focus of our work is on designing a scheme that is practical not only in terms of asymptotic and concrete efficiency but also with respect to real-world constraints that emerge when trying to build and deploy real database systems at scale for commercial use. These constraints present new technical challenges that have not been considered in the research literature before.
MongoDB & Amazon Web Services (AWS) Fraud Detection Immersion Day
Existing fraud detection systems often grapple with a critical limitation – relying on stale data – which limits the ability to access data in real-time to prevent fraudulent activities before they happen. Join MongoDB and AWS for a deep dive workshop into Fraud Detection using MongoDB Atlas and Amazon SageMaker Canvas to learn how you can proactively identify and combat fraudulent activities, safeguarding systems and protecting customers. By leveraging MongoDB Atlas as an operational data store you are able to accommodate high-volume transactional data with exceptional performance and flexibility. Coupled with Amazon SageMaker Canvas, leverage AI/ML solutions effortlessly with a no-code platform that brings the power of advanced analytics for fraud detection to your fingertips. In the on-demand workshop, you will learn: How to use architect, design, build, and deploy applications with MongoDB Atlas in AWS Marketplace How to identify and prevent fraudulent activities or transactions with a modern data architecture Data analytics and machine learning techniques to identify patterns and anomalies How to monitor transactions in real-time, analyse historical data, and flag any suspicious activity for further investigation
MongoDB & AWS Fraud Detection Immersion Day
Watch MongoDB and Amazon Web Services (AWS) in a deep dive workshop into Fraud Detection with MongoDB Atlas and Amazon SageMaker Canvas. Existing fraud detection systems often grapple with a critical limitation – relying on stale data – which limits the ability to access data in real-time to prevent fraudulent activities before they happen. In this eWorkshop, participants will discover how to architect, design, build, and deploy applications on AWS with MongoDB. By harnessing operational real-time data, fraud detection models can be trained on the most accurate and relevant data available. MongoDB Atlas and SageMaker Canvas enables institutions to proactively identify and combat fraudulent activities, safeguarding systems and protecting customers. In the workshop, you will learn: How to use MongoDB Atlas through AWS Marketplace How to identify and prevent fraudulent activities or transactions with a modern architecture Data analytics and machine learning techniques to identify patterns and anomalies How to monitor transactions in real-time, analyse historical data, and flag any suspicious activity for further investigation MongoDB Atlas and Amazon SageMaker Canvas stand as formidable allies in detecting and preventing fraud. MongoDB Atlas proves its strength as an operational data store, accommodating high-volume transactional data with exceptional performance and flexibility. Meanwhile, Amazon SageMaker Canvas empowers business analysts to leverage AI/ML solutions effortlessly, providing a no-code platform that brings the power of advanced analytics to their fingertips.
MongoDB Atlas and Google Cloud for Startups
Watch our webinar, MongoDB Atlas and Google Cloud for startups, where we’ll explore: Key Atlas features, such as Data Federation, Atlas Triggers, and GraphQL API Atlas and GC integrations, like Vertex AI and Bigquery And more! Leave with actionable insights on how you can build with Atlas on GC and explore what our startup programs can do for you.
Intro to MongoDB Atlas Search Webinar Hong Kong
Atlas Search combines the power of Apache Lucene - the technology behind the world’s most popular search engines - with the developer productivity, 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. Join us for our Intro to Atlas Search webinar where, with a few clicks and keystrokes, we will unravel the mystery behind the search bar. We’ll search through different data types, including text, numbers, dates, and geoJSON while exploring a variety of search capabilities. Language: Cantonese
Driving Mission-Critical Innovation and Cost Savings Through Automation in the Telco Industry
By embracing AI and machine learning capabilities, telcos are ensuring network security and optimization How are you innovating with automation use cases in the telecommunications industry? The behemoth volumes of data that already exist within telco organizations can generate data-driven insights and inferences to better service customers and build cost savings. Dive into this essay featured in the latest TM Forum digital transformation tracker annual report to learn three ways that MongoDB customers are utilizing automation: Service assurance processes Network automation Customer issue management Click below to read the essay now.
Protect data throughout its lifecycle with MongoDB’s in-use encryption
MongoDB believes that data protection and usability don’t have to be in conflict and continue to make advancements toward that goal. Client-Side Field Level Encryption and Queryable Encryption give customers the ability to encrypt their data on the client side while maintaining the ability to query it without decrypting the data. Learn more about in-use encryption and how it protects data throughout its lifecycle.
Why Queryable Encryption matters to developers and IT decision-makers
Queryable Encryption provides a high level of security by encrypting sensitive fields from the client-side ensuring data remains encrypted while in-transit, at-rest, and in-use and is only ever decrypted back at the client. In this datasheet, you'll learn why Queryable Encryption is an important technological innovation that makes it easier for developers to encrypt sensitive data without needing to re-write their application or be experts in cryptography. It allows IT decision-makers to ensure the highest level of security for their most sensitive data.
Powering Connected Vehicles with MongoDB Atlas and Amazon Web Services (AWS)
Connected vehicle capabilities are no longer a luxury – they’re a necessity. Customer buying decisions are increasingly dependent on software functionality and integrating into their digital lifestyles, and connected vehicle applications can unlock a new level of information and control, way beyond the physical driving experience. MongoDB Atlas on AWS removes the non-differentiating integration or “technical plumbing” work between vehicles, the cloud, and mobile apps, and accelerates building the next generation of digital twin applications.