Resources | MongoDB

Otimizando a experiência do Varejo com Real-Time Analytics e MongoDB

Omnichannel, personalização e muito mais para o Varejo A convergência do varejo para uma experiência omnicanal apresenta novos desafios para a plataforma e gestão de dados. Embora os varejistas usem análises diárias há um tempo, existe uma busca para poder reagir em segundos ou milissegundos - convergindo as experiências online e da loja. Os varejistas precisam se adaptar para o engajamento ao cliente orientado a dados e ainda, serem capazes de analisar os dados atuais e antigos em tempo real, em uma plataforma de dados convergente, independentemente das fontes de dados. Nesse webinar, mostraremos as tecnologias fundamentais para os vários casos de uso de análises em tempo real e sua importância para o sucesso no setor varejista. Vamos cobrir: Personalização e próxima melhor oferta: oferecendo personalização em tempo real ao longo de toda jornada do cliente, seja em compras online ou na loja. Reconheça seu cliente quando ele retornar ao seu site ou aplicativo e combine suas preferências e histórico de produtos. Gerenciamento da cadeia de suprimentos: análise em tempo real está revolucionando o setor, permitindo redes de fornecedores mais complexas. Volumes enormes de dados são analisados para relatar o nível de estoque nos Centros de Distribuição e PDV, além de serem usados para prever as necessidades de produção e envio. Essa eficiência em tempo real reafirma se os varejistas têm as quantidades e produtos certos na hora certa. Caso contrário, ofereçam substituições de produtos relevantes em tempo real. Detecção de fraude: para classificar como fraude uma transação com cartão é necessário uma lógica complexa de mais de 100 consultas, todas trabalhando de forma coerente para identificar potenciais padrões de fraude. No momento em que um cartão é passado, o banco de dados deve determinar em milissegundos se deve recusar a transação.

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Activate Data: Data Science Innovation with MongoDB & Iguazio

MongoDB and Iguazio deliver unprecedented ease in the integrated delivery of data and data science on multi cloud platforms. While data science and machine learning is often equivalent to long-term projects, MongoDB, with Iguazio, allows rapid implementation to leverage data through ML/AI, and Real Time use cases. In this webinar we introduce the simplicity of integrating both platforms and discuss real world innovation use cases of data science, from retail personalization to fraud prevention and preventative maintenance, and how the most disruptive tech companies are leading with data science. MongoDB enables a more intuitive process for data management, while Iguazio simplifies and automates the ML/AI process, streamlining an organization’s path to innovation.

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Fast Track Modern Applications in Public Sectors

This webinar, co-organized by HashiCorp, is designed for accounts in the public sectors in Singapore and Malaysia. You will learn how MongoDB and HashiCorp are better suited to application modernization efforts in the webinar.

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[On-Demand] MongoDB Atlas on AWS 101 eWorkshop

Tune in to watch the MongoDB and AWS teams host a 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.

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Modernization with MongoDB & Accenture Webinar Recording

Learn how MongoDB & Accenture can help organizations modernize from their legacy applications to MongoDB, enabling them to fully leverage the benefits of a document-based, distributed database that is built to handle the data- in real time, anywhere.

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Reaching Scalability: Do More with MongoDB Atlas

You know about the relational world, the NoSQL world, and you're ready to dive in deeper. We will discuss: What’s Realm? (mobile devs, you won't want to miss this) What can we use Realm for? Serverless offerings and Free Tier features Trigger / Function Demo Third-Party Integration Demo Auth Demo What’s Multi-Cloud? Why Multi-Cloud? How to set up Multi-Cloud Cluster About the speaker: Currently a Senior Developer Advocate for MongoDB, Adrienne Tacke is also a Filipina software engineer, speaker, published author of the book Coding for Kids: Python, and a LinkedIn Learning instructor who specializes in Cloud Development courses. Perhaps most important, however, is that she spends way too much money on desserts and too many hours playing Cyberpunk 2077. What is MongoDB Atlas? MongoDB Atlas is the global cloud database for modern applications. Distributed and secure by default, Atlas is available as a fully managed service on AWS, Azure, and Google Cloud. MongoDB Atlas is free to start for learning, prototyping and early development. Did you know this webinar is part of an educational series? Check it out - Scaling Your Startup with MongoDB Atlas: A Series

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[On-Demand] MongoDB Atlas 101 Multi-Cloud eWorkshop

Multi-cloud clusters are now generally available on MongoDB Atlas! Tune into the on-demand session to learn how to distribute your data in a single cluster across multiple public clouds, simultaneously. With MongoDB Atlas multi-cloud clusters, you can take advantage of unique tools and services native to AWS, Google Cloud, and Azure without any added complexity to the data management experience. Watch now to learn more about multi-cloud clusters and how you will gain a competitive advantage when moving to MongoDB Atlas.

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Back to Basics Webinar APAC

Learn the fundamentals of the world’s most popular NoSQL database, MongoDB.

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Everything You Know About MongoDB Is Wrong Webinar HK

There are many myths around MongoDB - what it is, how it works, and what it does wrong. Like any database product, you need to know its capabilities and how to get the best out of it. On top of this, the product has changed a lot over the years, but lots of information out there hasn't caught up. We covered these myths around MongoDB, explain how they're wrong, why the myth originated in the first place (some of them weren't originally myths).

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