The Keys to Modernizing Legacy Application Data Frameworks in Support of Digital Transformation Objectives
A panel discussion with Accenture, Amazon Web Services (AWS), and MongoDB Digital transformation and cloud migration technology are top of mind in today’s boardrooms, and understandably so. Yet it’s easy to see how distractions from the shiny new items can lead to neglect of the legacy systems in place—which continue to shoulder the fulfillment of vital organizational tasks. This neglect often leads to the isolation and segregation of legacy applications and data from the rest of the organization, which can be messy—financially and otherwise. While focusing on enterprise-wide technology modernization initiatives and introducing hybrid-cloud strategies, how can companies avoid the costly mistake of leaving out valuable legacy applications and therefore impeding the continuous delivery of value during this transitional time? In this webcast, leaders from MongoDB, Accenture, and AWS will discuss how organizations can accelerate the migration of business-critical applications and data from siloed legacy environments to integrated cloud-native platforms that work across on-prem and cloud infrastructures. Tune in to learn about: Modernizing legacy applications and data for integration into cloud-native infrastructures consisting of on-prem and cloud resources Operational considerations of lift-and-shift vs refactoring Financial implications of legacy application, data modernization, and integration projects Constructive tech management principles for ongoing legacy transformation efforts You will hear from: Jim Malone: Senior Content Director at CIO Marketing Services (moderator) Pradeep Dhananjaya: Banking Specialist Solutions Architect at AWS Joerg Schmuecker: Director, Financial Services Industry Solutions at MongoDB John Nerenberg: Managing Director at Accenture Steve Meyer: Principal Director at Accenture
Migrate to MongoDB Atlas on AWS: Iterate fast and react quickly
10am BST / 11am CEST MongoDB Atlas on Amazon Web Services (AWS): MongoDB Atlas allows developers to build and release new features quicker. Features such as Atlas Search, Atlas SQL and Online Archive simplify the architecture while enabling a powerful Search capabilities, analytics connectivity and cost saving. With Atlas, no application code changes are necessary when an application needs to scale out from a 10MB to a 500TB dataset. MongoDB Atlas is well integrated into the AWS environment, and works seamlessly with AWS products. Join our webinar to learn more about common integration and reference architectures of MongoDB on AWS. Migrate to MongoDB Atlas on AWS with Live Migrate and Relational Migrator: Accelerate your shift to a modern developer data platform with Live Migrate. we’ll show you streamline schema design and relational data migration with the help of our Relational Migrator.
Configuring MongoDB Atlas for PROTECTED Information Classification Level
The Australian Signals Directorate (ASD) Information Security Manual (ISM) has hundreds of controls for achieving PROTECTED level compliance. Configuring a self-managed environment in accordance with these controls can be a significant effort. MongoDB Atlas has strived to take the maximum burden of these requirements so customers can focus on application development and business requirements. Specifically, customers are only responsible for configuring a small subset of the total ISM controls to minimise effort. This whitepaper is to provide details and technical references demonstrating how MongoDB customers, such as Australian Government Organisations and ISVs, can use MongoDB Atlas to comply with PROTECTED information classification level requirements.
Data Lifecycle Strategy with MongoDB Atlas ft. Online Archive
11 a.m. ET The amount of data that modern applications generate today is growing exponentially. This introduces several challenges for developer teams who are responsible for managing the data lifecycle. Join Prem Krishna, Senior Product Manager for Analytics at MongoDB as he provides insight into how you can use Online Archive to implement a data lifecycle strategy to streamline your data tiering, ultimately enhancing performance and optimizing cost. Join us on Wednesday, September 27th 11:00 a.m. ET to learn about: The role MongoDB Atlas plays in data lifecycle management Introducing and deploying Online Archive Understanding and implementing a data lifecycle Real-world use cases New Online Archive with Performance Improvements and Enhanced Metrics
Intro to Data Modeling
11 a.m. ET A frequently asked question in the MongoDB community is “I’m designing an application to do X, how do I model the data?” In this webinar we will examine the most important considerations when making decisions about your data model, so that you can create the model that best fits your application. You will learn: The differences between data modeling in MongoDB vs. relational databases The key considerations for data modeling with MongoDB How to further enhance the power of the document model with schema design patterns Register today to save your spot. We look forward to seeing you there!
Atlas Search on Google cloud webinar (EMEA + India)
During this webinar, we searched through different data types, including text, numbers, dates, and geoJSON while exploring a variety of search capabilities to learn how you can work with a single API when building on MongoDB Atlas Search. Our talk points were: How full text search compares to standard database querying How Atlas Search differs from other full text search implementations An overview of the Atlas Search architecture A walkthrough of Atlas Search capabilities Demos of how to build and leverage Atlas Search indexes on Google Cloud Showcasing sample applications built using Atlas Search Watch the recording now and don't miss the chance to learn about Atlas Search!
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!
Atlas 201 eWorkshop (English)
9am (BST) Join the MongoDB team and enjoy 3 hours of free online labs to help you make the most of MongoDB’s Developer Data Platform. This workshop is built on our Atlas 101 eWorkshop to continue the learnings. In this exclusive workshop you will 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 search + AI for context aware search Attendees will receive $50 in MongoDB Atlas credit. Places are very limited so act quick to reserve your spot.
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