Resources

Best Practices for Deploying MongoDB Atlas on Google Cloud

Agenda Summary: An intro to MongoDB’s Developer Data Platform, with a focus on Atlas Search An overview of GC Analytics - BigQuery, VertexAI Demo: How to use MongoDB’s Integration with Big Query Q&A - 15 min

Real-Time Analytics with MongoDB Change Streams Hong Kong

MongoDB & Manufacturing: From Shop Floor to Cloud with MongoDB and Kafka

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

The Database and Cloud Market – Trends, Challenges & Opportunities in Austria

What does the cloud landscape in Austria look like and what are the major trends we see in the market? We discuss these and more questions in this interview with Gustavo Loewe, Area Vice President at MongoDB, and Barnabas Poeltl, Senior Enterprise Account Executive at MongoDB. In the conversation, we cover the trends in the world of data in Austria this year and the importance of putting developers first when it comes to modern software development. In this context, we also talk about the process of digital transformation, modernizing legacy systems and reducing the cost of complex IT architectures. Lastly, we touch on the move to the cloud – or going multi-cloud. According to the 2021 Cloud Monitor Study by KPMG, 54% of Austrian enterprise companies use multi-cloud computing, and 44% use multi-cloud strategies to increase redundancy and avoid cloud outages. Apart from this, a multi-cloud strategy allows companies to avoid vendor lock-in. However, there are also common concerns and challenges when moving to the cloud, such as balancing development speed vs. risk, and finding the right way to monitor and manage risks. If you would like to know more about how you can move your data to the cloud with MongoDB Atlas and reduce the cost of your IT infrastructure by moving to a single developer data platform, reach out to us and talk to one of our experts today: https://www.mongodb.com/contact. In the Interview: Gustavo Loewe, Enterprise Area Vice President, Central and Eastern Europe, MongoDB Zurich, Switzerland Barnabas Poeltl, Senior Enterprise Account Executive, MongoDB Vienna, Austria

Get Started with MongoDB Realm

MongoDB’s Atlas ,developer 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 like MongoDB Realm to support additional application data workloads. In this session we will share how Realm enables offline mode for mobile apps with sync automation for Atlas. MongoDB Realm empowers you to build, deploy, and scale mobile apps with ease. Don’t miss the chance to learn why Realm is made for developers and get your mobile apps related questions answered.

MongoDB Atlas Search 225 eWorkshop

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

MongoDB Developer Data Platform for FinTech Webinar Hong Kong

For financial institutions to thrive, they must fully commit to digital transformation – liberating data, empowering developers, and embracing disruption. Our webinar “MongoDB Developer Data Platform for FinTech” describes how fintech companies, from startups to some of the world’s largest financial services banks have driven 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.

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

Replay Discover MongoDB for modernizing Retail Ecommerce

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

Expanding Telco Digital Services with TIM, Telefónica, and MongoDB

As digital services’ share of the digital economy expands, 5G, IoT, and AI technologies are fueling innovation at TIM and Telefónica Telcos are transitioning from communication services providers to dynamic enterprises delivering cutting edge IoT, 5G and AI-powered digital services. Dive into this engaging one-hour interview with Paolo Bazzica, Head of Digital Solutions, TIM, and Carlos Carazo, Global CTO, Telefónica Tech IoT & BD, as they dive into their innovative tech strategies to build customer experiences and digital services, underpinned by MongoDB technology.

MongoDB Advanced Query Language APAC

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 will talk about indexes, and the things you should consider when indexing your collections. Finally, we will 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.