Resources

Commerce in the Cloud: Retail Modernization with Google Cloud, Capgemini, and MongoDB

With the power of MongoDB, Google Cloud, and Capgemini, companies can seamlessly migrate to the cloud to build better applications that enhance your ecommerce platforms. In this webcast, you’ll hear from leaders from MongoDB Atlas, Capgemini, and Google Cloud to learn how the three work together to offer cloud-based ecommerce solutions that reduce development friction so your business can quickly and intelligently innovate with data – and keep the apps you create running smoothly, swiftly, and securely. Through this webcast the audience will gain an understanding how these three powerhouse partners collaborate to help you: Build fast and flexibly Infuse apps with intelligence Secure data Speakers: Google Cloud: Logan Vadivelu, Global Head - Retail Industry Solutions Strategy & GTM Capgemini: Jennifer Marchand, Google Cloud COE Head, Americas MongoDB: Prashant Juttukonda, Principal - Retail Industry Solutions

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Atlas Search 225 eWorkshop - May 2023

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.

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Omnichannel Retail: Enhance Customer Experience And Make Your Data Work In Real Time AMER

In a super-competitive industry, an omnichannel approach lets retailers maximize great customer experiences across multiple channels and venues: web, mobile, in-store, and even B2B. Looking at recent stats, Omnisend found that purchase frequency is 250% higher on omnichannel, and Harvard Business Review’s research saw omnichannel customers spend 10% more online and 4% more in-store. What’s holding most retailers back from achieving their omnichannel goals is buried in complex, siloed data architectures that underpin application architectures. Join Prashant Juttukonda, MongoDB’s Principal of Retail Industry Solutions on Wednesday, May 17 at 2pm ET, to learn how a data mesh approach to omnichannel is opening up new opportunities for retailers to utilize their data in real time, and implement AI and machine learning strategies to retain customers. In this presentation, you’ll discover: The most frequent obstacles that hinder retailers from implementing omnichannel commerce How data mesh enables IT teams to utilize real-time operational and customer data Why MongoDB is the go-to solution for cloud-based omnichannel data mesh

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Omnichannel retail: Enhance customer experience and make your data work in real time

In a super-competitive industry, an omnichannel approach lets retailers maximize great customer experiences across multiple channels and venues: web, mobile, in-store, and even B2B. Looking at recent stats, Omnisend found that purchase frequency is 250% higher on omnichannel, and Harvard Business Review’s research saw omnichannel customers spend 10% more online and 4% more in-store. What’s holding most retailers back from achieving their omnichannel goals is buried in complex, siloed data architectures that underpin application architectures. Join Genevieve Broadhead, MongoDB’s Principal of Retail Industry Solutions on Wednesday, 17 May at 3pm CET, to learn how a data mesh approach to omnichannel is opening up new opportunities for retailers to utilize their data in real time, and implement AI and machine learning strategies to retain customers. In this presentation, you’ll discover: The most frequent obstacles that hinder retailers from implementing omnichannel commerce How data mesh enables IT teams to utilize real-time operational and customer data Why MongoDB is the go-to solution for cloud-based omnichannel data mesh

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Best practices of using MongoDB Atlas on Multicloud

One of the core pillars of MongoDB is the freedom to run anywhere. Since 2017, organizations have been able to use MongoDB Atlas, our fully managed global cloud database, across 90+ regions on the cloud provider of their choice: AWS, Azure, or Google Cloud. We’re increasingly seeing customers run independent workloads on different clouds — a common practice among enterprises with different applications and business units. Sign up for this session to watch and learn the Best practices of using MongoDB on Multi cloud where we will give you a step by step walk through of how to set up a multi-cloud cluster in MongoDB Atlas and explain what each of the new multi-cloud options mean.

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Fireside Chat: Componentization - a way to modernize the core of your bank

To remain competitive and lower TCO, financial institutions are moving to composable systems, architecting their business for real-time adaptability, scalability, and resilience by combining ‘best-of-breed’ products and services from third parties. Watch this session to learn what componentized architectures have to offer for financial institutions when looking to reshape their business model. This session will discuss: The benefits of componentized systems such as faster innovation, flexible deployment, and instant scalability How to integrate your systems to provide a superior offering for your customers The key building blocks for componentized systems: JSON, BIAN, MACH, and data domains How the flexibility of a modern document database can help avoid vendor lock-in, enabling the adoption of best-of-breed functionalities Speakers: Shiv Pullepu: Principal, Financial Services Industry Solutions at MongoDB Karl Dennison: Senior Director, Financial Services at Capgemini Pradeep Dhananjaya: Tech lead, Worldwide Banking at Amazon Web Services (AWS)

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FedNow - Why MongoDB Matters for Payments

FedNow – an instant payments service being developed by the United States Federal Reserve Bank – provides a huge opportunity for the market, but with many institutions being challenged with monolithic payment systems that are expensive to maintain and lack the data flexibility and third-party integration capabilities required by modern payment ecosystems, evolving your business with FedNow could be difficult. Watch this session to learn how MongoDB’s developer data platform offers you the capabilities to future-proof your payments systems with a flexible data model that enables you to consolide, ingest, and act on payments data instantly in real-time – delivering value-added services and features to consumers and business customers. Speakers: Boris Bialek: Managing Director, Industry Solutions at MongoDB

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Building Next-Generation Operations Automation in Banking & Capital Markets to Reduce TCO with Unqork And MongoDB

In today’s volatile market, optimizing operations to reduce TCO and leveraging technology to meet changing regulations, like T+1, NACHA, and Reg E are top of mind across capital markets and banking institutions. Many are ditching their inflexible legacy tools and disjointed network of 3rd party applications for integrated data and codeless application development platforms that offer seamless developer experiences, run anywhere, and rapidly scale to meet changing business needs. Join Joerg and Matt as they discuss: The challenges and trends resulting in financial institutions to rethink their approach to data and application development How data and codeless development platforms are being adopted across the financial services industry to transform modularly without having to rip and replace their entire technology stack The evolution of MongoDB and Unqork and how they are empowering some of the most advanced financial institutions to move fast and simplify how they build with data for any application resulting in reduced TCO and risk Speakers: Joerg Schmuecker: Director, Financial Services Industry Solutions at MongoDB Matt Singleton: Head of Banking and Capital Markets at Unqork

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[Webinar] Atlas Search + Google Cloud ... It's a Game Changer!

This demo-heavy, football-themed webinar scores a hat trick by teaming up MongoDB Atlas, Google Cloud, and Apache Lucene to build search functionality into applications. We get the ball rolling equipped with only a search box; but then we will quickly layer in sliders, checkboxes, and calendars to search across a variety of data types to look for your favorite soccer players with the hardest-to-spell names.

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Build Better Mobile Apps with MongoDB & Realm Webinar Hong Kong

Today, every industry needs to be a mobile-focused industry. Successful mobile apps meet user expectations in spite of technical constraints. In this webinar, you will learn how MongoDB Atlas Device Sync makes it easy to keep your data in sync across users and devices, even offline and how leading organizations use Atlas Device Sync to provide top-notch user experiences. The webinar was conducted in English.

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Introduction to Data Modeling on MongoDB

Building your next big application? Want to learn how to best leverage MongoDB for the same? Interested in design patterns? Sign up to watch session on Data Modeling where our experts talk through key considerations, design patterns and share real-life use case examples. Agenda topics will cover: Introduction to Data Modeling with MongoDB Data Modeling key considerations Design Patterns Use case examples

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Querying on MongoDB

If you have watched the Introduction to MongoDB, and Data modeling on MongoDB webinars, this is the final stop on building you application with MongoDB. In this webinar, We will show you how the aggregation framework allows you to model simple and then increasingly complex queries and aggregations against your datasets, allowing you to group, join, and run window functions across documents in your collections. We will talk about indexes, and considerations when indexing your collections. We will tie that in with a few data modeling patterns, giving you a solid foundation for building applications on MongoDB. Don’t miss this opportunity to learn about advanced querying.

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