Data Modeling with 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!
MongoDB & FSI in the Blockchain Era
The financial services industry is undergoing massive technological, regulatory and social changes. Blockchain technology is fueling the rise of decentralized finance (DeFi) as a major disruptive force against traditional finance, and billions of dollars have been poured into the ecosystem by both VCs and end users. The specific features of DeFi require a reliable and modern infrastructure to support their operations. MongoDB and its solutions ecosystem are the perfect fit for organizations striving to achieve scalability, high availability and agility to offer their users an amazing product and to empower developers to innovate and build faster. Download the paper which covers: The DeFi ecosystem Centralized Exchanges Limitations of Blockchain The role of MongoDB
Who Owns Security in the Cloud?
At MongoDB, our overriding mission is to make data easier to work with. This can’t happen if data becomes compromised for any reason. We’ve designed our cloud services to be secure from day one. But we also provide the tools customers need to configure their environments for their own requirements. As more organizations move to the cloud, it’s imperative for customers to know who’s responsible for what when it comes to cloud security. Understanding these roles and responsibilities is crucial for ensuring cloud workloads remain secure and available.
Best Practices for Deploying MongoDB Atlas on Google Cloud
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 explored recommended MongoDB deployment topologies. We also covered 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: we reviewed 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
Supply Chain Security In MongoDB's Software Development Lifecycle
It doesn’t take a high-profile data breach for MongoDB to aggressively search for and resolve security issues. By developing new products and features using industry-standard methodologies, working closely with top cybersecurity firms, and acting on feedback from the security community, we’re continuously striving to maintain the highest level of security at each stage in the software development lifecycle (SDLC).
Intro to Atlas Search
11AM EST / 3PM GMT 11AM BST / 10AM GMT 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. Join us for our Intro to Atlas Search webinar where, with a few clicks and keystrokes, 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!
MongoDB Atlas Search eWorkshop
10am - 1pm CEST Il 6 luglio, unisciti a noi per il Workshop interattivo della durata di 3 ore su Atlas Search. Durante l’evento, sarai guidato su come far fronte alle sfide del mercato utilizzando la Data Platform di MongoDB, con un focus particolare su MongoDB Atlas Search. Il workshop sarà gestito dal nostro team di solution architect e ti darà un accesso esclusivo al nostro team di esperti di Atlas. In particolare, vedremo: Come creare relazioni di dati utilizzando il nostro potente aggregation framework Come creare indici di ricerca Come scrivere complesse query di ricerca su Atlas Search Le regole per esporre collection da essere interrogate direttamente con GraphQL dal nostro backend Realm Schemi a generazione automatica Come scrivere resolver personalizzati più potenti dal nostro aggregation pipelines E molto altro! Alla fine del workshop avrai una applicazione frontend reale, integrando Atlas Search attraverso una API sicura e moderna. Per la natura pratica del workshop, i posti sono limitati.
MongoDB Developer Data Platform for FinTech
This webinar describes why fintech companies from startups to some of the world’s largest financial services banks drive success by unleashing the power of software and data with MongoDB's developer data platform. Whether its trading platforms, end-to-end digital loan origination, AI/ML-driven fraud detection systems, financial 'super apps', or insurance no-code/low-code platform, 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. Webinar Details ： Date: June 29 Time: 14:00 - 15:00 HKT Speakers： Cathlon Lau, Advisory Solutions Architect, MongoDB Terence Ho, Chief Commercial Officer, Nanoinsure Language: Cantonese
MongoDB & Manufacturing: From Shop Floor to Cloud with MongoDB and Kafka
10am - 11am BST IT/OT convergence is crucial for manufacturing companies to achieve higher grades of automation, gain deeper insights to optimize processes and produce higher quality products. In this webinar, based upon a small-scale factory model, we will explain how you can use Kafka to collect OT data and store it in MongoDB time series collections using our Kafka Sink connector. Additionally, we will demonstrate how you can use MongoDB Charts to get insights fast, by creating live dashboards on top of the collected data. This session will cover: Why MongoDB Atlas for gathering data from the shop floor. The integration of MongoDB & Kafka for real-time data streaming. The benefits of Atlas Time Series collections. [Demo] From MQTT to MongoDB Atlas: Real-time data streaming with Kafka [Demo] Shop Floor Data Visualization with Atlas Charts Q&A - 15 mins
Replay Best practices for deploying MongoDB on AWS
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
MongoDB Atlas + AWS Immersion Day
10am - 1pm BST Join the MongoDB and AWS teams for free 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. Register below to learn how you will gain a competitive advantage when moving to MongoDB Atlas. Topics include: 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 Atlas App Services All attendees have the chance to win MongoDB swag and Atlas credits! Places are very limited so act quick to reserve your spot
2022 MongoDB 資料與創新報告
一項針對亞太地區 2,000 名 IT 專業人士的調查展示了創新的重要性，以及阻礙創新的隱性負擔。 創新是一項艱巨的任務。研究人員表示，每獲得一次商業成功，需要嘗試 3,000 個原創想法。但這也是必要的；富有創新力的組織在很多方面都更為成功，包括盈利能力。 為了更好地瞭解資料在實現基於軟體的創新中的作用，我們採訪了亞洲各地 (包括台灣、中國大陸、香港、印度、澳大利亞、新西蘭和韓國) 的 2,000 名專業技術人員。 調查報告突顯了創新的重要性、建置新應用程式所面臨的技術挑戰，以及建置失敗的後果。主要調查結果包括： 73% 的受訪者表示，資料是應用程式建置過程中最難的部分 60% 的受訪者表示，數位化轉型增加了資料架構的複雜性 阻礙創新的主要因素包括開發人員工作量過大、資料架構、技術落後和技術債務 我們發現，創新的意願並沒有反映在技術團隊的工作內容和工作方式上。無論是過於複雜的資料架構，還是保持資料收集和使用合規性的艱巨性，都會影響團隊的效率，也會讓資源枯竭。這些因素將成為創新的沉重負擔，即讓技術人員難以取得成功以及組織難以確立和保持競爭優勢的一系列阻礙。 若要瞭解所有調查結果並詳細瞭解提高創新關注度的必要性，請下載完整報告。