mongodb

Recursos de programación de mongodb
MongoDB Stitch is a serverless platform which accelerates application development with simple, secure access to data and services from the client – getting your apps to market faster while reducing operational costs and effort. Stitch Triggers is a service running on MongoDB Stitch, letting you execute custom logic in response to database changes, as they happen. This talk will cover all the MongoDB Stitch features - Functions, Query Anywhere, Triggers, Stitch Mobile Sync - in a live demo. About: Maxime Beugnet, Developer Advocate EMEA - MongoDB Maxime has been working with MongoDB for the past 5 years and in the IT industry for 8 years. He is a MongoDB and Java trainer, with DEV and DBA MongoDB certifications. Maxime joined MongoDB as a Developer Advocate EMEA a year ago to share his experience with the community. He loves clean code, scuba diving, code challenges and vikings!
¿JavaScript sigue siendo solo un lenguaje de front-end? ¡Ya no! Con MongoDB, Express y Node, puedes llevar tus habilidades de ninja de JavaScript al backend.La idea es conseguir comprender los conceptos básicos de un marco de back-end con NodeJs y así obtener una comprensión profunda de cómo encaja todo, teniendo una visión global.Veremos cómo es la estructura de un proyecto backend, entre otras muchas cosas, crearemos diferentes rutas para las diferentes funciones de tu API, conectaremos con MongoDB, una base de datos NoSQL, para hacer que tu API sea completamente dinámica y mucho más About: Beatriz De Miguel Pérez, Senior Developer, Kairos DS Madrileña de adopción pero PTV (Pamplonesa de Toda la Vida). Programadora front desde hace 5 años y recientemente más enfocada en el mundo backend. Actualmente trabajo en KairosDS
MongoDB Stitch is a serverless platform which accelerates application development with simple, secure access to data and services from the client – getting your apps to market faster while reducing operational costs and effort. Stitch Triggers is a service running on MongoDB Stitch, letting you execute custom logic in response to database changes, as they happen. This talk will cover all the MongoDB Stitch features - Functions, Query Anywhere, Triggers, Stitch Mobile Sync - in a live demo. ------------- Todos los vídeos de Codemotion 2019 en: https://lk.autentia.com/Codemotion-YT ¡Conoce Autentia! Twitter: https://goo.gl/MU5pUQ Instagram: https://lk.autentia.com/instagram LinkedIn: https://goo.gl/2On7Fj/ Facebook: https://goo.gl/o8HrWX
¿JavaScript sigue siendo solo un lenguaje de front-end? ¡Ya no! Con MongoDB, Express y Node, puedes llevar tus habilidades de ninja de JavaScript al backend. La idea es conseguir comprender los conceptos básicos de un marco de back-end con NodeJs y así obtener una comprensión profunda de cómo encaja todo, teniendo una visión global. Veremos cómo es la estructura de un proyecto backend, entre otras muchas cosas, crearemos diferentes rutas para las diferentes funciones de tu API, conectaremos con MongoDB, una base de datos NoSQL, para hacer que tu API sea completamente dinámica y mucho más. ------------- Todos los vídeos de Codemotion 2019 en: https://lk.autentia.com/Codemotion-YT ¡Conoce Autentia! Twitter: https://goo.gl/MU5pUQ Instagram: https://lk.autentia.com/instagram LinkedIn: https://goo.gl/2On7Fj/ Facebook: https://goo.gl/o8HrWX
"Once you start working with Big Data systems, you discover a whole bunch of problems you won’t find in monolithic systems. Monitoring all of the components becomes a big data problem itself. In the talk, we’ll mention all of the aspects that you should take in consideration when monitoring a distributed system using tools like: Web Services, Kubernetes, Spark, Cassandra, MongoDB, Google Cloud, AWS. Not only the tools, what should you monitor about the actual data that flows in the system? We’ll cover the simplest solution with your day to day open source tools, the surprising thing... that it comes not from an Ops Guy."
A few years ago I created a small system to automate some tasks in our barn where we keep pet potbelly pig and our chickens. Simple things, like scheduling when the lights turn on and off, temperature monitoring and a webcam. It was nice to automate those things, but the best part for me was being able to tinker with the sensors and devices and learn new libraries, frameworks and languages. I’ve recently re-imagined the system as a way to learn more new technologies. I’ve created a prototype version to demonstrate how I might build it again if I were to start over from scratch and in this session we’ll look at that model and learn about the hardware and software used in it. At it’s core, the system uses an Arduino, Raspberry Pi and various pumps, solenoids, motors and sensors to simulate the automation of certain tasks like filling a water bowl, opening and closing doors, monitoring environment and turning on and off lights on demand or via schedule. The hardware runs a Groovy based program which interfaces with Kafka for messaging to both store sensor data in a MongoDB instance as well as receive commands for remotely performing certain tasks on demand. The persisted data is formatted and displayed on a web application running in a Docker container that is deployed to a cloud-based Kubernetes cluster. We’ll look at both the hardware and software that power this system and how I’ve used the project as a playground for learning new technologies, languages and frameworks. ------------- Todos los vídeos de Greach 2019 en: https://lk.autentia.com/Greach19-YT ¡Conoce Autentia! Twitter: https://goo.gl/MU5pUQ Instagram: https://lk.autentia.com/instagram LinkedIn: https://goo.gl/2On7Fj/ Facebook: https://goo.gl/o8HrWX
Para amantes de MongoDB. Entra en las profundidades de tu BD NoSQL favorita. Modelos de datos NoSQL en MongoDB. Consultas Avanzadas. MMS. DBaaS: MongoDB en Cloud. Herramientas de trabajo con MongoDB y Casos de uso en MongoDB.
Descripción del sistema de almacenamiento y explotación de datos NoSQL. Presentación de las características de NoSQL en PostgreSQL. Integración con JSON. Comparativa de rendimiento de MongoDB con PostgreSQL en relación con SELECTS, INSERTS, carga de datos y tamaño de la base de datos. Breve reseña a ToroDB.