Best Practices for Deploying MongoDB Atlas on Google Cloud
During this interactive session, we showcased how to deploy MongoDB Atlas, a fully-managed Cloud database to discover the latest innovation that MongoDB on Google Cloud is offering. MongoDB Atlas ensures that when you deploy your clusters in Google Cloud, your databases run according to operational and security best practices. At this exclusive webinar, you will learn: Why MongoDB Atlas on Google Cloud: we will review the benefits, integrations, and more An intro to MongoDB’s Application Data Platform, with a focus on Atlas Search An overview of Google Cloud Analytics - BigQuery, VertexAI, and how to use them Demo - MongoDB Atlas + Google BigQuery Real-time Bi-directional Sync
Data as a Product, Data Mesh, and MACH applied
To provide the superior and personalised experiences customers demand, and to improve internal systems and processes in support of this goal, a better framework for collecting, managing, and sharing data is needed. Data-as-a-product is a strategic and technical initiative that pushes the ownership of enterprise data away from a centralised data team and into the hands of separate teams or business units. To establish data-as-a-product and lay the groundwork for a better customer experience, companies must craft a data mesh that binds their data sources into a new domain-driven architecture model. Combined with fine-grained governance and access controls, and the integration of data from legacy mainframes and databases, the data mesh becomes a foundational technology necessary to modernise. Choosing the framework on which to build your applications is essential to fully exploit the promise of a data mesh. MACH, which stands for microservices-driven, API-first, cloud-native, and headless, is a set of architectural pillars that allow organizations to modernise their technology stack, while also giving it a firm foundation for future evolution. In this webinar, we cover: The concept of building a data as a service driven organization in the context of the data mesh and MACH principles The evolution of data and why a better framework for collecting, managing, and sharing data is crucial when looking to modernise How the design concepts of MACH are perfectly suited for MongoDB and mesh perfectly with the architectural concept of the data mesh An overview of what the complete MACH and data mesh implementation looks like – including a payment processes example highlighting what enrichment and polymorph data really mean for the solution You’ll hear from Boris Bialek, Managing Director Industry Solutions, MongoDB
Content Discovery: Driving Digital Audience Engagement with Better Search and Recommendations
Have you mastered the push and pull of content discovery? Telecommunications and media companies around the world are striving to build better engagement with their customers, which is hard to do in an always-on, on-demand media environment. Learn how to compete for audience attention through easy-to-use tools that build personalized recommendations and an excellent search experience for your customers in this MongoDB Industry & Solutions presentation. Join Steve Dalby, Director of Industry Solutions, MongoDB, to learn how to: Make your content more discoverable with real-time recommendations Build best-in-class search capabilities, powered by Apache Lucene Work on a single developer developer data platform
The Future of Ecommerce: Strategies for Modern Retail Customer Experiences
As shifting customer trends prompt retailers to focus growth strategies around digital-first selling, IT leaders are rethinking ways to continue to modernize legacy ecommerce solutions. As architects and business leaders run into a lack of flexibility and scalability with legacy databases and architectures, they are unable to deliver the real-time customer engagement, inventory verification and order management, mobile support, and omnichannel view of operations needed to modernize their retail businesses. This presentation covers: What emerging ecommerce trends across the industry mean for organizers and consumers How enterprises are escaping monolithic, siloed data structures along the modernization journey Retail industry modernization success stories using the MongoDB developer data platform
Intro to Atlas Search on Google Cloud
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. 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. This webinar covers: 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 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 Q&A
Atlas Device Sync: The Future of Mobile to Cloud Synchronization
Most mobile apps are data-dependent. Eventually, many apps need to share that data with other apps and the outside world.This means that every mobile app needs to solve the following problems for every client platform: serialization a consistent schema of objects gracefully handling network failures and slowdowns resolving conflicts between changes to the same data on different clients Sign up to watch how Atlas device Sync keep your data up-to-date across devices, users, your backend, simplify development and ensure performance in any environment.
Data Modeling with MongoDB
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 video, 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
Replay Episode 3: Live migration and benefits of moving from a relational database to MongoDB
In this last episode we will migrate a customer data from the MySQL database to MongoDB. At the end of the webinar you will learn the benefits and key aspects of migrate your application to MongoDB. We will close this series with a wrap up and a Q&A session.
Replay Episode 2: How to migrate from a relational database to MongoDB?
Deciding to migrate an application from a relational database to a NoSQL database might be a logical choice, but how to do this? In this webinar we will see together what are the different scenarios that a company can face and what strategies to apply according to their needs. You will see a live demo of MongoDB Atlas, the multi cloud data platform.
Replay Episode 1: Why migrate from a relational database to MongoDB?
More and more companies are considering moving their existing applications from a relational database to a more modern NoSQL database. In this recording you will discover the advantages of a digital transformation by migrating applications to MongoDB Developer Data Platform and how to use relational data in a document model using the concept of embedding.
Real-time Analytics for Modern Applications
The modern applications are evolving at fast-pace to provide more personalized customer experiences, react more quickly to market trends, detect and prevent potential problems. But few of them can respond to changes in data minute by minute or second by second. Let’s learn these challenges and how organizations can be enabled through MongoDB capabilities.