Modern, Data-Centric Commerce with MongoDB and commercetools
What are the building blocks to achieving personalized commerce experiences? MACH and advanced database capabilities provide the foundation to work with data-centric commerce easily and effortlessly. The combined commercetools and MongoDB solution provides an innovative backbone that helps you leverage data for this exact purpose. In * The Data-Centric Commerce Guide with commercetools and MongoDB, *learn how you can modernize your commerce infrastructure with commercetools Composable Commerce and MongoDB Atlas to personalize customer experiences at scale.
Data Monetization with TechMahindra & MongoDB: A roadmap for the future
Data monetization requires companies to build compliant strategies and suitable business models for creating ecosystem wide value through data sales. It is often found that enterprises that run legacy data systems are unable to build avant-garde applications that can create revenue from data. TechM and MongoDB are helping enterprises to fast-track data monetization initiatives to make the most of their data with the help of data modernization and analytic capabilities. This webinar offers insights on how TechM and MongoDB can help BFSI companies to churn out data monetization use-cases, build a Data-as-a-Service portfolio, co-create offerings with Industry partners, and design & develop solutions that are compliant with regulations. Speakers: Praveen Soni, Solution Architect, Global D&A Competency, Tech Mahindra. Praveen Nair, VP, Data Architecture, Credit Suisse. Paresh Saraf, Technical Director, Partner Solutions & APAC Partner SAS, MongoDB.
Data Modeling w/ MongoDB
11 AM 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!
FHIR API for MongoDB
MongoDB has partnered with FHIR API experts Exafluence to offer an all-in-one FHIR solution. The partnership simplifies digital transformation for healthcare by offering modernization accelerators using MongoDB Atlas. Support for real-time and batch-data ingestion Flexible deployment options (multi-cloud, on-premises) Maintains the native FHIR data format using MongoDB’s JSON based document model Learn more about the partnership, and how you can benefit, in this quick guide.
FHIR Today, Interoperability Tomorrow
Both MongoDB and FHIR natively support the JSON format, the standard that supports rich data structures and objects prevalent in healthcare such as patient data, claims, policies, and treatment information. In addition, the flexibility of the document model at the heart of MongoDB is uniquely qualified to adapt to future changes to the FHIR format. Learn why leading healthcare providers and payers choose MongoDB as the foundation for their healthcare data platform in this solution brief.
Application-Driven Analytics: Defining the next wave of successful modern apps
By building smarter apps and increasing the speed of business insights, Application-Driven Analytics gives you the opportunity to out-innovate your competitors and improve efficiency. To do this however, you can no longer rely only on copying data out of your operational systems into separate analytics stores. Moving data takes time. Instead, analytics has to be “shifted left” to the source of your data – to the applications themselves. We call this shift application-driven analytics. And it’s a shift that both your developers and analytics teams need to be ready to embrace. In this we cover: The rise of application-driven analytics and the problems it solves. The foundational capabilities needed to be successful on the journey to smarter applications. Organizations that are already reaping the benefits of application-driven analytics. Watch the On-demand version now!
Leveraging MongoDB to Create Asset Administration Shells and Enable Industry 4.0
To achieve digital manufacturing through Industry 4.0, it is critical to aggregate and manage the huge amount of data generated in the factory by Industrial Internet of Things (IIoT) sensors and devices. Having connected machines, workers, and systems is just the start of the digital transformation journey. To extract real value from this connectivity, a digital twin of machines and processes have to be modeled in a standardized manner, which will help aggregate heterogeneous data and provide valuable insights to drive productivity and efficiency. This white paper explores Industry 4.0-compliant data modeling principles and how to use MongoDB Atlas to fulfill demands of Industry 4.0: interoperability, flexibility and scalability.
Write a Microservice With Rust and MongoDB
11 AM EST Are you an experienced software developer looking to build your first application in Rust? You’ve come to the right place! Rust is a powerful and expressive programming language. To get the most out of this webinar we recommend you to watch these MongoDB videos beforehand. In the webinar we will cover the following topics: Design and architecture expectations Sync vs async communication (HTTP or gRPC vs messages or queues) Available code generators (synchronous and asynchronous) and limitations Crates that can be used for synchronous communication (for web, such as Axis, Axum, and Rocket) and other purposes, such as dotenv REST implementation tips Middleware Logging vs. tracing Use of traits, asynchronous traits and dynamic dispatch Use of newtype pattern By the end of the webinar you will have learned: What to expect when developing microservices in Rust Dos and don’ts when developing microservices in Rust Areas you can explore for your next Rust development project Join us!
Manage Wealth on MongoDB
Modernize Legacy Infrastructure to Deliver Enhanced Insights Wealth management firms aggregate and analyze large amounts of data from various sources to find deep insights to advise their clients. The wealth management market is very competitive, and customers expect personalized content near real-time. Most firms struggle to do this today because data is locked in rigid database systems that increase the cost and time-to-market for any change and stifle innovation. Wealth management firms must upgrade their systems' capabilities to provide real-time customer advisory based on deep insights. Modern data platforms leverage hardware and software advances to support large amounts of highly heterogeneous data for high availability. This is in contrast to the current relational database management systems, which require storing all data in rigid table schemas and are challenging to integrate with AI/ML platforms. This white paper looks at how you can use MongoDB to establish an elegant and efficient data aggregation, analytics, and client outreach platform for investment advisory firms.
Advanced Querying: Beyond the Basics
11 AM EST 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. Then we'll talk about indexes, and the things you should consider when indexing your collections. Finally, we'll introduce you to some fundamental data modeling patterns, giving you a solid starting point for learning to effectively model data in MongoDB. Don’t miss this opportunity to learn about advanced querying and get your questions answered. We look forward to seeing you there! Seats are limited, reserve your spot today!
Componentized Core Banking
The next generation of composable banking processes built upon MongoDB The financial services industry is in a phase of transition. Challenger banks and Fintechs are introducing new products at high speeds which requires established players to review their existing information landscapes. Often driven by regulatory and compliance changes, many systems, originally designed for never-changing processes, become the static throttle against innovation. Nothing more so than the so-called core banking systems that are the backend of all accounting and can reach back to the 1970s in their designs. Thanks to the progress of software design and the emergence of better data infrastructure based on JSON, the next-generation of composable core banking processes is here, and it’s built on a paradigm of a developer data platform. In this whitepaper, explore the following: Chapter 1: the history of core banking and how the industry has evolved, as well as some of the challenges that traditional core banking systems face Chapter 2: take a closer look at the current state of core banking and some of the solutions that are available Chapter 3: explore the building blocks that are necessary for a composable ecosystem – we focus on four key building blocks: JSON, BIAN, MACH, and Data Domains and how these technologies can be used together to create flexible and scalable core banking systems Chapter 4: learn about real-world use cases for how MongoDB can be used to power core banking systems