Improve Your Data Architecture with MongoDB Atlas on Google Cloud
Thursday, 27 October 2022 | 2:00 - 3:30 PM (Vietnam) Please note that this virtual hands-on workshop will be delivered in a mix of both English and Vietnamese. MongoDB Atlas is our fully-managed data platform to increase Developer and DevOps productivity by streamlining operations and management. Combined with the power of Google Cloud, Atlas ensures that you deploy your clusters with utmost ease and scalability while making sure your databases are run according to operational and security best practices. Join MongoDB, GCP and CloudAce teams from Vietnam on Thursday, 27 October at 2:00 PM (Vietnam) for a free and virtual hands-on workshop exclusively for you! This eWorkshop will introduce you to MongoDB Atlas - our Developer Data Platform and showcase some key differences between Atlas and Community Edition. Register now! Agenda Opening Intro to MongoDB Developer Data Platform Shared Architecture with GCP MongoDB Atlas Demo Q&A Mini Game Featured Speakers Thao, CloudAce Linh Duong, Corporate Account Manager, Google Cloud Hailey Dinh, Senior Account Executive, MongoDB Eugene Tan, Associate Solutions Architect. 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 live 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!
Advanced Querying: Beyond the Basics
11 AM ET 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!
MongoDB vs Imitators: Why choose MongoDB
10am GMT Developers consistently rate MongoDB as their favorite database to work with, which has led other database providers to emulate the MongoDB API for their users. Cosmos DB is a prominent example of this, although it does not offer the same ease of use, performance, or functionality. Join us for our upcoming webinar, MongoDB vs Imitators: Why Choose MongoDB, where we will explore the key differences between MongoDB and the Cosmos DB API emulator for MongoDB, to help you decide which database is right for your applications. During this session we will be covering: MongoDB technology fundamentals, including data modeling using the document model and MongoDB architecture Introduction to MongoDB Atlas, our cloud-based application data platform A comparative analysis of MongoDB and Cosmos DB including queries, performance, deployment How to seamlessly migrate from Cosmos DB to MongoDB Customer stories and use-cases We look forward to seeing you there!
Intro to MongoDB
11 AM EST Ready to begin your MongoDB Atlas adventures — but not sure where to start? Join our Intro to MongoDB webinar at 11am ET on Wednesday, September 12th to learn more! At this free event, Senior Developer Advocate Jesse Hall will showcase the unique advantages of the document data model and show you how to deploy an Atlas cluster. Jesse will present a demo of how to get started with MongoDB Atlas and walk you through how to: Create your first cluster Add an IP address Add a database user Load sample data using a Next.js e-commerce demo app Connect to the database You will also have the opportunity to ask questions throughout the webinar. Seats are limited, reserve your spot today!
ESG showcase: Win in the cloud with database-as-a-service
As traditional databases become less efficient in the face of constant change, organizations are looking to the cloud for flexibility – but migrating to and operating in the cloud can be quite difficult. In fact, ESG research indicates that 76% of organizations consider operational management in the cloud to be challenging or very challenging, which impacts their cloud-based management and analytics strategy. Access this ESG Showcase to learn how organizations can succeed by embracing a managed services model - database-as-a-service - to facilitate their cloud journey and to leverage the collective skills of MSPs and leading cloud platform providers.
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
MongoDB vs. Imitators: Warum sich für MongoDB entscheiden
11am CEST MongoDB ist eine auf dem Dokumentenmodell basierende, universell einsetzbare Datenbank, die für viele moderne und erfolgskritische Anwendungen weltweit im Einsatz ist. MongoDB ist dabei eine der bei Entwicklern beliebtesten Datenbanken, was auch dazu geführt hat, dass viele andere Datenbanken die MongoDB API für ihre Services imitieren. Cosmos DB ist ein bekanntes Beispiel hierfür. Allerdings bietet Cosmos DB nicht die gleiche Benutzerfreundlichkeit und die Datenbankmanagement-Funktionalitäten, Performance oder den gleichen Funktionsumfang. In diesem Webinar stellen wir die wichtigsten Unterschiede zwischen MongoDB und dem Cosmos DB API Emulator für MongoDB vor, um Dir bei der Auswahl der richtigen Datenbank für Deine Anwendungen zu helfen. Hier die Agenda für diese Session: MongoDB Grundlagen, einschließlich der Datenmodellierung mit dem Dokumentenmodell und der MongoDB-Architektur Einführung in MongoDB Atlas, unsere Database-as-a-Service und die Cloud Daten-Plattform Vergleich von MongoDB und Cosmos DB, einschließlich Queries und Performance, Deployments, Datenbank-Management, Skalierbarkeit, Monitoring, Backups und Recovery sowie der gesamten Betriebskosten Die nahtlose Migration von Cosmos DB zu MongoDB Customer Stories, Anwendungsfälle und vieles mehr! Melde Dich jetzt an!
Implementing an Operational Data Layer for Product Catalog Modernization
For a seamless digital, in-person or omnichannel experience, retail data needs to be consistent and available in real-time for a number of different retail front ends- the ecommerce website, the customer facing application, in-store workforce applications, POS devices and more. The creation of the operational data layer for the product catalog can be the start in a journey to move away from legacy tech all together. Retailers will begin to build functionality, analytical insights and use the product catalog as a point to begin to redevelop existing applications. The maturity curve in retailers follows a staged approach, transforming the role of the data layers. Product catalog data management is a complex problem for retailers. Read this paper to learn: Modernization drivers and common problems with legacy product catalogs How to architect an operational data layer for product catalogs Create, enrich, and offload reads and writes to make an ODL system of transaction and system of record
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