Intro to Atlas Search
11 am - 12 pm EDT 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. 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. We look forward to seeing you there!
Data Modeling w/ MongoDB
11am EDT / 4pm GMT 11am GMT / 6am EDT 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
11am EDT / 4pm GMT 11am GMT / 6am EDT 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!
MongoDB Aggregation APAC
10:30 AM IST | 1:00 PM SGT | 3:00 PM AEST MongoDB’s aggregation pipeline makes it easy for you to transform and analyze data of any structure, right inside the database. You can leverage this functionality to easily create and run incredibly complex data pipelines, however, you must also take into consideration its performance characteristics compared to more traditional operations. Join us for our upcoming MongoDB Aggregations webinar to gain a better understanding of how aggregations are optimized and executed, whether you are writing a new one or looking to tune something that is already in production. We will also share tips and tricks to improve the query performance and you will get an opportunity to get your questions answered in the live Q & A session. Save your spot today!
開始使用 MongoDB Atlas Search
Atlas Search 將 Apache Lucene (世界上最受歡迎的搜尋引擎採用的技術) 的強大功能與 MongoDB Atlas 的開發人員生產力、規模和彈性結合，能夠比以往更輕鬆地將快速、基於相關性的搜尋功能整合到所有 MongoDB 應用程式中。 請加入我們的線上研討會，只需按幾下，即可解開搜尋列背後的秘密。我們將搜尋不同的資料類型 (包括文字、數字、日期及 geoJSON)，同時探索各種搜尋功能。 請勿錯過這個瞭解 Atlas Search 的良機，並讓您的問題得以解答。 線上研討會詳情： 日期：5月26日 星期四 時間：14:00 - 15:00 HKT 主講人：Cathlon Lau, MongoDB Advisory Solutions Architect 語言：廣東話
Digital Innovation with MongoDB & Google Cloud
The keys to success in the digital age are how quickly you can build innovative applications, scale them, and gain insights from the data they generate – but legacy systems hold you back. MongoDB application data platform extends the core technology of MongoDB to support additional application data workloads such as search, mobile & edge data, real-time analytics, data engineering, and more. Companies can move fast and simplify how they build with data for any application, and innovate their digital transformation by using MongoDB Atlas (fully-managed cloud database by MongoDB), to its full potential on Google Cloud. Topics we will cover : MongoDB Application Data Platform Using MongoDB Change Streams and Google Cloud Pub/Sub to do real time data syncronization into BigQuery Using BigQuery ML to train a machine learning model to derive insights, and fed back into MongoDB to enrich front-end user experiences Webinar Details : Date : June 2, Thursday Time : 14:00 - 15:00 Language : Cantonese Speakers : Gabriel Woo, Regional Vice President, MongoDB Cathlon Lau, Advisory Solutions Architect, MongoDB William Tsoi, Customer Engineer & Data Analytics Specialist, Google Cloud
Best Practices for Deploying MongoDB Atlas on Google Cloud
11am BST Google Cloud and MongoDB Atlas offer developers the smart infrastructure, sophisticated data intelligence and analytics, and developer-centric tools they need to power modern, data-driven cloud applications. In this webinar (including a demo), we explore recommended MongoDB deployment topologies. We also cover best practices to reliably and optimally run MongoDB clusters on Google Cloud (GC). By the end of this session you will learn: Why MongoDB Atlas on Google Cloud (MDB): 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 Q&A - 15 min
MongoDB Atlas and AWS Immersion Day eWorkshop
10am-12pm GST 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!
Best practices for deploying MongoDB on AWS
11am-12pm GST To respond to Middle East companies' needs, AWS opened a new cloud infrastructure in UAE! This new region will give you more choice and flexibility to leverage advanced technologies. Learn how MongoDB Atlas and AWS make the dream team for your deployments. Together, we incorporate optimizations and automated best practices to increase performance, availability, and security for all your MongoDB deployments on AWS. In this webinar with AWS, you will discover: The benefits of MongoDB Atlas and AWS Data and Analytics on AWS, including MongoDB Atlas Data Lake A live demo of MongoDB Atlas on AWS Best practices for MongoDB Atlas deployment on AWS Q&A session Register today to attend this first session in Middle East!
Discover MongoDB - the Data Platform for modernizing Retail Ecommerce
3PM GST The explosion in the volume of ecommerce activity dominates headlines, but that’s only half the story. Even before the COVID-19 pandemic, shoppers were steadily increasing their browsing, comparing, and purchasing. The legacy systems of record need to be integrated with all of the customer-facing channels (i.e. web, mobile web, native app, web chat, social, voice, store, etc.) to make this seamless consumer experience. With legacy data infrastructure, it is difficult to deliver. For example, retailers need to display consistent product availability information and maintain customer context from one channel to the other. Unfortunately, that can be difficult to deliver if their channels receive and maintain data through different data stores and synchronized end of the hour/day/week/month. MongoDB enables retailers to deliver a personalized customer experience through rich features such as dynamic schema, expressive query language, full text search and real-time analytics. Join us during this webinar to learn on: Trends and challenges Ecommerce & Retail companies face How the MongoDB Data Platform allows retailers to be more competitive Live demo of how to optimize the search function of your application through Atlas Search Realm , the edge-to-cloud data sync that handles conflict resolution and networking code for you Q&A Session
Reduce DIRT in Your Data Infrastructure Webinar Series (APAC)
As companies accelerate their digital transformation, many discover a convoluted data infrastructure that reflects the adoption of new layers of components to “get things done” as well as years of tech debt. That infrastructure complexity slows down the pace of development and requires time and money that should be spent on driving innovation. We think of complexity as a tax on innovation — we call it “DIRT,” a Data and Innovation Recurring Tax. Join us for the Reduce DIRT in Your Data Infrastructure Webinar Series, where we will walk you through how to leverage MongoDB as your application data platform to tame infrastructure complexity and reduce this tax. Developers become more productive as you remove obstacles to progress, including infrastructure sprawl, rigid data structures, and fragmented developer experiences. Webinar Series Date & Topics at a glance : Language: English Time: 2:00 PM, SGT Session 1 - March 2, Introduction to MongoDB Atlas recording . Reduce DIRT with a single multi-cloud data platform for your modern applications Session 2 - March 30, Reduce DIRT Tip 1: MongoDB Atlas Search . Get full text search for your apps with no ETL needed Session 3 - April 27, Reduce DIRT Tip 2: MongoDB Realm . Enable offline mode for mobile apps with sync automation for Atlas Session 4 - May 25, Reduce DIRT Tip 3: MongoDB Charts . Build rich real-time visualizations with native JSON support for your apps and reports Session 5 - June 22, Reduce DIRT Tip 4: MongoDB Atlas Data Lake . Federate queries to MongoDB & AWS S3 data lake with a single query API This webinar series will be carried out on a monthly basis, register once to attend all the 5 sessions! Don’t miss your opportunity to learn how to tackle DIRT in a better, streamlined way.
Building an Enterprise Eventing Framework
Learn how Centene improved their ability to interact and engage with healthcare providers in real time with MongoDB and Confluent Platform. Centene is fundamentally modernizing its legacy monolithic systems to support distributed, real-time event-driven healthcare information processing. A key part of their architecture is the development of a universal eventing framework designed to accommodate transformation into an event-driven architecture (EDA). The business requirements within Centene's claims adjudication domain were solved leveraging the Kafka Stream DSL, Confluent Platform and MongoDB. Most importantly, Centene discusses how they plan on leveraging this framework to change their culture from batch processing to real-time stream processing.