Getting Started with MongoDB Atlas Search
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. Watch the Getting Started with MongoDB Atlas Search webinar where, with a few clicks and keystrokes, we unravel the mystery behind the search bar. The session searches through different data types, including text, numbers, dates, and geoJSON while exploring a variety of search capabilities.
Case study: How to build an edge architecture and manage edge applications
In the competitive world of telecommunications, providers are thinking more and more about the ways that network intelligence can be used to build smarter applications. In this presentation, Verizon's Robert Belson discusses his own journey in managing and scaling edge applications. Watch this video to learn: What does "the edge" really mean in the context of your architecture? How to identify and overcome common edge computing architecture pain points How to manage and scale edge applications and best practices for reliability, performance excellence and cost efficiency.
Establishing a simpler, cloud-based database model to benefit internal operations
Complexity kills speed and innovation. For the notoriously complex telecommunications industry, it's vital that IT decision makers transform legacy systems while building edge architecture in the cloud. In this presentation, MongoDB Chief Technology Officer Mark Porter shows CSPs how to simplify. Watch this video to learn how to establish and enable a next-generation database that takes on the challenges of real-time analytics and the need for schema flexibility.
MongoDB vs Imitators: Why Choose MongoDB Hong Kong
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 webinar, MongoDB vs Imitators: Why Choose MongoDB, where we explored the key differences between MongoDB and the Cosmos DB API emulator for MongoDB, to help you decide which database is right for your applications. This session covered: 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 The session was delivered in Cantonese.
MongoDB Atlas on Google Cloud eWorkshop (Hong Kong)
Watch this on-demand session to join the MongoDB and Google Cloud teams for virtual hands-on training! In this 3-hour eWorkshop, we will teach you how to use MongoDB Atlas 一 the most wanted, fully elastic, resilient, and secure cloud data platform 一 on Google Cloud to help you build better applications. Choosing MongoDB Atlas on Google Cloud not only ensures your databases run according to operational and security best practices, but it is also the best way to combine Google’s constant innovation with the best database for building modern applications in the cloud. eWorkshop agenda : MongoDB technical overview MongoDB on Google Cloud CRUD operations hands-on Aggregation Framework hands-on Atlas Search hands-on Note: eWorkshop content is geared towards senior solution/technology architects and data engineers. (basic knowledge of MongoDB is a plus)
Let’S Explain Aggregations
Gain a better understanding of how aggregations are optimized and executed in MongoDB — whether you are writing a new one or looking to tune something that is already in production. You will also learn tips and tricks to improve query performance. We'll cover: An overview on the structure of explain plans in MongoDB Various optimizations that MongoDB executes when parsing aggregation pipelines Best practices you can leverage to avoid commonly observed anti-patterns Additional tips & tricks to improve the query performance
Purpose Built Optimizations for Time-Series Workloads in MongoDB 5.0
Time series data is generated everywhere-- from the heartbeat sensor in your smartwatch all the way to DevOps teams monitoring network traffic. However, you can face many challenges while building applications for time series data when using Relational and NoSQL databases. Both require manual schema optimization in order to provide high speed data ingestion, as well as custom ETL routines for archiving aged data. In MongoDB 5.0, all the hard work is done for you! During this 25-minute session, we’ll showcase some of the powerful and new native time series capabilities introduced in MongoDB 5.0. Through schema and indexing optimizations coupled with powerful new indexing and query functionality, you’ll learn how to build and run time series workloads faster, easier, and at a lower cost than ever before. Topics include: What is Time Series Data? The Challenges of Existing Time Series Solutions New Time Series Capabilities on MongoDB 5.0: Native Time Series Platform How to Use MongoDB’s Purpose Built Time Series Collections for your Applications
Staying one step ahead of payments fraud with Featurespace and MongoDB
How money, data and fraud are three areas that are often intertwined Globally, payments fraud is constantly changing and evolving as consumers and businesses demand more digital experiences and payments services. With the number of transactions constantly rising, service providers must be able to determine if they are genuine and processed smoothly, while avoiding fraudulent ones. Preventative technology is key and constantly evolving, but so is fraud. A recent global survey conducted by Celent shows that 74% of corporates are willing to pay for improved security and fraud prevention. The payment service providers that succeed will be those that can stay one step ahead and protect their customers and stop fraudulent activity in its tracks. But how can this be achieved? In this on-demand webinar during International Fraud Awareness Week, we discussed: The state of the industry with emerging patterns and trends How organisations can overcome data silos and improve speed to action with data all in one place to detect fraud How to bring fraud prevention to life with MongoDB and Featurespace Real-life case studies on fraud prevention implementations and achieving measurable results You will hear from: Boris Bialek , Global Head of Industry Solutions, MongoDB Sean Neary , Senior Product Officer, Featurespace By filling in this form, you are agreeing to MongoDB sharing your data with Featurespace who participated in this discussion.