The Road to Smart Banking
A Guide to Moving from Mainframe to Data Mesh and Data-as-a-Product A world-class customer experience is mandatory for banks that wish to build engagement and loyalty, and expand their share of wallet. Smart banking is crucial to providing and supporting such an experience. But like any other digital transformation, smart banking requires a fundamental change in the understanding of IT processes and a bank’s relationship with data. By moving away from providing a database service via shared infrastructure to a model where internal groups provide the data itself as a product, smart banks can provide better customer experiences and increase their speed of innovation, while also reducing costs. Read 'The Road to Smart Banking: A Guide to Moving from Mainframe to Data Mesh and Data-as-a-Product' to learn: How to establish data-as-a-product across a bank How a data mesh is foundational for smart banking How to integrate data from legacy mainframes and databases into a data mesh Getting started with a 5 step guide to mainframe offloading 9 case studies of MongoDB clients adopting smart banking principles
Intro to MongoDB Atlas Search APAC
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. In this session 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 Don’t miss this opportunity to learn about Atlas Search and get your questions answered.
MongoDB Atlas Shared Responsibility Model
Download Cloud security is a shared responsibility between a customer and cloud provider. MongoDB strives to take the maximum burden of that responsibility, so customers can focus on application development and business requirements. This datasheet outlines customer and MongoDB's shared responsibility in securing MongoDB Atlas data platform
Data Modelling with MongoDB
Want to learn the Data Modelling best practices that you can leverage when designing your next application? Watch the first instalment of our two part Data Modelling webinar series, where our experts talk through key considerations, design patterns and share real-life use case examples. Agenda topics will cover: Introduction to Data Modelling with MongoDB Data Modelling key considerations Linked vs Embedding Design Patters Use case examples ** Click here to watch the recording of the second instalment of the Data Modelling webinar series - Query Optimisation.
Query Optimisation with MongoDB
The second instalment of our two part Data Modelling Webinar Series. In this session our experts walk through Query Optimisation to improve performance, exploring key considerations with real life use case examples. We will cover: Introduction to Query Optimisation with MongoDB Query Optimisation Key Considerations Design Patterns Use Case Examples ** Click here to watch the recording of the first instalment of our Data Modelling webinar series.
Introduction to MongoDB Thailand
Sign up for an exclusive on-demand session on Introduction to MongoDB in Thai to learn the fundamentals of the world’s most popular NoSQL database, MongoDB. Ajay Raghav, Solution Architect with Peiling Jierapong, Corporate Account executive at MongoDB, will introduce you to the foundational concepts of the world’s most popular NoSQL database, MongoDB and explain how you can leverage the MongoDB Cloud to build modern, data-driven applications. Agenda includes: A brief overview of how data is stored in MongoDB vs relational databases MongoDB Application Data Platform Tips and tricks you should know to get the best out of MongoDB Who will get the most out of this webinar? Developers, DBAs, Architects.
Manufacturing with MongoDB
Gain a real-time, single view of operations from raw materials to final product From rapidly advancing automation opportunities to the recent impacts of the global pandemic, the manufacturing industry is under constant pressure to produce more, with better quality, at a lower cost. The first step in dealing with so much change is to look at how your data is working for you. Whether it’s adopting IIoT solutions or gaining a single view of your business from raw goods to shipped products, data underpins the entire operation. Instead of depending on reactive data analysis, slowed by siloed and legacy systems, MongoDB’s application data platform connects your operational technology and IT data for improved overall equipment effectiveness (OEE), and enables the jump from manufacturer to a business able to accelerate customer satisfaction and monetize connected, smart products. With MongoDB’s application data platform, you can combine the enormous variety and volume of data you produce into a single view and analyze it all in one place. Make real-time decisions that increase OEE, automate your factory, and serve customers long after your products have left the shop floor. To learn how MongoDB can meet your needs, read the ebook below .
The MongoDB Guide To Personalized Retail
Digital differentiation matters Customers want personalized experiences. That means retailers – already under pressure from discounters, online upstarts, and having to reconfigure their businesses after the pandemic – are now also in a race to differentiate themselves versus their competition by collecting relevant data, mining it for insights, and using it to deliver delightful customer experiences. What's more, personalization is no longer confined to the online experience. Customers are starting to expect personalized store greetings, location-based offers on nearby products, and the hyper-customization of products, services, and special offers. MongoDB gives retailers the tools to easily leverage their data to personalize the customer experience. But MongoDB’s application data platform isn’t limited to these operations: It serves as a strong foundation for any technology that uses the high-volume, multi-structured, time-sensitive data typical of today’s fast-moving retail operations, including chat bots, in-store beacons, artificial intelligence, RFID tags, and much more. To learn more about how MongoDB can empower your teams and transform your retail organization, read the below ebook.
How Financial Services Achieve A Strategic Advantage With Data-Driven Disruption
Seven Industry Leaders Reveal Why They Choose MongoDB For financial institutions to thrive, they must fully commit to digital transformation – liberating data, empowering developers, and embracing disruption. To successfully transform and retain their customer base, financial firms must become more adept at using the copious amounts of data at their disposal. And how they store, manage, analyze, integrate, and use data will have a direct impact on success. This ebook describes how many fintech startups to some of the world’s largest financial services banks have driven success by unleashing the power of software and data with MongoDB's application data platform. At the core of our application data platform is the most advanced cloud database service on the market, MongoDB Atlas, which can run in any cloud, or even across multiple clouds to get the best from each provider with no lock-in. Whether its trading platforms and end-to-end digital loan origination, or AI/ML-driven fraud detection systems and financial 'super apps', MongoDB is replacing relational databases and mainframes as the data platform financial services use to modernize legacy workloads and build leading experiences for their customers. Read the ebook below.
How Financial Services Eliminate Cloud Concentration Risk
Regardless of their size and business mix, most financial institutions have come to understand how cloud and multi-cloud computing services can benefit them. As the industry continues to embrace cloud services, regulators are becoming more aware of the challenges associated with cloud computing, especially those that could expose financial institutions to systemic risks potentially undermining the stability of the financial system. Regulators are increasingly focused on cloud concentration risk, or the potential peril created when so much of the technology underpinning global financial services relies on so few large cloud services providers. An outage or cyberattack, they worry, could derail the global financial system. This ebook will tackle cloud concentration risk for financial services firms, examining how that risk came to be and how multi-cloud can be used to navigate this risk and prepare for future regulations. Part 1 : What is cloud concentration risk for financial services? Part 2 : Why financial services are evolving from hybrid to multi-cloud Part 3 : Solve cloud concentration risk with cross-cloud redundancy Part 4 : The limits of a single-vendor public cloud solution Part 5 : Commercial and technical benefits of multi-cloud for financial services Read the ebook below.
Building Modern Microservices Apps With MongoDB On Google Cloud
Many organizations are building their applications around microservices architectures because of the flexibility, speed of delivery and maintainability they deliver. MongoDB & Google Cloud offer a differentiated set of features that makes it easier for organizations to develop and deploy microservices-based applications, enabling them to innovate faster, and meet today’s demanding development and delivery challenges. During this webinar, we have covered an introduction to the concepts behind microservices, and how to implement a microservices architecture using MongoDB and Google Cloud. Agenda includes: Why MongoDB & Google Cloud are a good fit for Microservices How to implement a microservices architecture using MongoDB and Kubernetes Overview of Google Cloud Microservices
MongoDB Atlas and AWS Immersion Day eWorkshop
Join the MongoDB and AWS teams for a virtual hands-on training! This eWorkshop will help you use MongoDB Atlas, our fully-managed database, to increase developer and DevOps productivity by streamlining operations and management. MongoDB Atlas ensures that when you deploy your clusters in AWS, your databases run according to operational and security best practices. The new AWS cloud region in UAE gives you more choice and flexibility to leverage advanced technologies. Register to learn how you will gain a competitive advantage when moving to MongoDB Atlas. Topics for this session: Take advantage of MongoDB's integration in the AWS Marketplace Create a database using MongoDB Atlas Secure the database & Load sample data Create indexes and learn about general index building guidelines Create aggregation pipeline queries On-demand scaling that allows you to focus on your code, instead of the ops Optimization tools such as real-time triggers, global clusters, and performance advisors Overview of MongoDB Realm All attendees have the chance to win gift cards, MongoDB swag and Atlas credits!