Public Sector in Middle East: How to leverage data to stay innovative
MongoDB is the next-generation data platform helping the Public Sector transform their mission critical challenges by harnessing the power of data. From local governments to federal agencies, MongoDB is used to create applications never before possible at a fraction of the cost and time. This session is around MongoDB best practices in the Public Sector industry using MongoDB cloud solution, Atlas. In this session you will learn about: MongoDB Atlas data platform Typical use cases in the Public Sector industry such as: Single View, Legacy Modernisation, IoT & time series How Governments are already using MongoDB with a real life example of the UK Department of Work and Pensions: https://www.mongodb.com/customers/department-for-work-and-pensions Thanks for watching the Presentation!
Build your competitive advantage with MongoDB Application Data Platform
MongoDB’s application data platform is the first in the industry that allows companies to move fast and simplify how they build with data for any application. MongoDB application data platform extends the core technology of MongoDB to support additional application data workloads. During the webinar, you will learn about how MongoDB Application Data Platform extends MongoDB Atlas, Atlas Search, Realm, Charts, Atlas Data Lake, where MongoDB ensures enterprise-grade security, scalability, and resilience with a multi-cloud solution that incorporates leading-edge security, compliance, and governance capabilities.
Modernisation Webinar: Moving Workloads from Relational Databases to MongoDB's Document Model
Speaker: Boris Bialek, Global Head of Innovation + Industry Solutions, MongoDB MongoDB is a general-purpose, document model database that supports modern, mission-critical applications around the globe. Developers have consistently ranked MongoDB as one of the most wanted databases for many years, the main reason being the document model, which is a natural fit to modern object-programming frameworks and provides developers the fastest way to innovate in building transactional, operational, and analytical applications. In this webinar, we discussed how to get started with the modernization of applications on relational databases to the document model with MongoDB. Based on a practical example from the financial sector, we looked into the conversion of an application and its move to the cloud. At the end we introduced the MongoDB Smoke Estimator which allows you to build a quick business case for a successful conversion. No matter where you are in your data management journey, MongoDB offers a simplified, strategic solution that enables greater innovation with the flexibility to take risks without risking it all. This webinar introduced the simple steps to modernize and innovate traditional relational DB infrastructures to a flexible MongoDB data platform and will cover the following: Benefits and business value provided by an agile and flexible data infrastructure for application development Step-by-step migration strategy of relational database applications to the MongoDB document model, using an example from the financial sector Introduction to the Smoke Estimator, which allows you to generate a business case for the migration of your applications
A Whirlwind Tour of MongoDB Atlas on Google Cloud
In this video, MongoDB Senior Developer Advocate Mark Smith will take you on a whirlwind tour of MongoDB. He will show you how to spin up a MongoDB Atlas cluster on Google Cloud and connect to it with code. He will talk about how documents compare to what you may be used to, and then show you some of the features you get over and above the database with a MongoDB Atlas subscription. Start building MongoDB Atlas on GC today
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.
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.
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
Best Practices of Deploying MongoDB Atlas on Aws
An interactive session to help you and your team use MongoDB Atlas, a fully-managed Cloud database to discover the latest innovation that MongoDB on AWS is offering. MongoDB Atlas ensures that when you deploy your clusters in AWS, your databases are run according to operational and security best practices. What Will You Learn: Why MongoDB & AWS are powerful and why our partnership is becoming even more relevant. Deploy a MongoDB cluster hosted on AWS in minutes using MongoDB Atlas. Scale your cluster vertically, horizontally or globally across AWS regions according to business demand. Take advantage of advanced search capabilities, all with no additional infrastructure to manage, using Atlas Search. Monitor your cluster, and visualize your data natively using MongoDB charts. Intelligently tier data to S3 persisting the same powerful query language using Atlas Data Lake, and while paying only for the queries you run.
Data Mesh for Financial Services
This talk by Boris Bialek, Global Head, Industry Solutions at MongoDB, addresses the evolution of payments services and the underlying architectures. We also cover the concept of Data Mesh, combining both analytical as well as transactional workload and how the MongoDB application data platform enables data mesh implementations. This presentation was delivered as part of our Launch Event for the Polish market together with Google Cloud.
eCommerce Evolution in MACH Speed
This talk by Boris Bialek, Global Head, Industry Solutions at MongoDB, addresses eCommerce use cases including personalization and how they can be implemented leveraging MongoDB and the concept of MACH Architectures: M: icroservices A: PI-first C: loud-native H: eadless This presentation was delivered as part of our Launch Event for the Polish market together with Google Cloud.