Delivering Modern Commerce Experiences with MongoDB & Amplience
Customers today are more sophisticated and have higher expectations than ever before. A ‘range-it and they will come’ philosophy will no longer cut it. Brands need to deliver digital-first personalized, localized and consistent experiences across all touchpoints to beat the competition. So how do they compete in this customer-centric world? It requires a change in mindset, from “product-out” to “customer-in” – and data is at the center of this. Traditionally, companies have tried to solve this with their current legacy technologies that do not allow the flexibility to meet the integrated, onmichannel experiences needed. This paper describes how Amplience and MongoDB help companies solve these challenges by providing rentable microservices and packaged business capabilities that brands can rapidly implement to get value quickly without the complexity of building it all yourself.
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.
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 and IBM zSystems
Modernizing Mainframe Applications and Data Modernization of data and applications on the mainframe is a necessary priority for modern organizations. The MongoDB Operational Data Layer (ODL) is a widely used approach to make critical mainframe data available for modern mobile and web applications. MongoDB and IBM have collaborated to discuss how IBM replication technologies can be combined with Kafka and the MongoDB Sink Connector to set up real-time replication from Db2 to MongoDB ODL on Linux on IBM Z, the pros and cons of available Change Data Capture (CDC) tools, and their usability for different use cases. In this paper, the possible replication architectures, their tradeoffs and implementation of best practices will be discussed to create stronger technical decisions and accelerate mainframe data and application modernization efforts. Download the whitepaper now to learn more.
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
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
MongoDB’s 2022 Report on Data and Innovation
A survey of 2,000 IT professionals in Asia-Pacific reveals the importance of innovation — and the hidden tax that can hold it back. Innovation is hard. Researchers have suggested it takes 3,000 raw ideas to achieve just one commercial success. But it is also necessary; highly innovative organizations are more successful across a number of measures, including profitability. To better understand the role of data in enabling software-based innovation we spoke to 2,000 technology professionals across Asia (Australia, China, Hong Kong, India, New Zealand, South Korea, and Taiwan). Our survey and resulting report highlights the importance of innovation, the technical challenges to building new things, and the consequences when you fail to do so. Among our key findings: 73% say that data is the hardest part of building applications 60% say digital transformation has increased data architecture complexity Top blockers of innovation include developer workloads, data architecture, legacy technologies and technical debt We found the desire to innovate is not reflected in how technology teams spend their time or the way they work. From overly complex data architectures to the struggle to remain compliant in the collection and use of data, teams get slowed down and resources are depleted. features. These factors create a tax on innovation — a set of hurdles that make it harder for technologists to succeed and for organizations to build and maintain competitive advantage. To unlock all our findings and understand more about the need for an increased attention on innovation, download the full report.
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!
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