Resources

Serie di webinar "Beyond the Basics" 2 - Aggregation Framework

Serie di webinar "Beyond the Basics" 2 - Aggregation Framework

Webinar-Reihe „Beyond the Basics" 4 - Sichern Sie Ihre MongoDB Datenbank

Webinar-Reihe „Beyond the Basics" 4 - Sichern Sie Ihre MongoDB Datenbank

GDPR: Impact to Your Data Management Landscape

How MongoDB can help facilitate EU GDRP compliance

From SQL to MongoDB Atlas at Texas American Resources Company

See how Texas American Resources, an oil and gas company, modernized their architecture by moving from a legacy SQL database, to MongoDB. They discuss their migration to MongoDB and then their migration to the cloud with MongoDB Atlas.

Executing on a Cloud Data Strategy

Getting to Insights Faster with the MongoDB Connector for BI

Pairing your real-time operational data stored in a modern database like MongoDB with SQL-based business intelligence platforms enables new insights to be discovered faster than ever before. Many leading organizations already use MongoDB in conjunction with tools like Tableau and Qlik. With our latest release of the connector, it’s never been easier to streamline the connection process between these two systems. In this presentation, we will demonstrate the power of the Connector for BI by connecting a MongoDB collection to Tableau. You’ll learn: What's new in version 2.2 of the connector, including simplified authentication and file-based configuration How to configure MongoDB with your BI tool of choice using the updated connector Best practices for working with documents in a BI environment How leading companies are using big data visualization strategies to transform their businesses Give it a try: Download the MongoDB Connector for BI View the documentation

MongoDB Atlas: the best way to run MongoDB in the cloud (Part 2)

Atlas is the Database as a Service that enables you to deploy, operate, and scale a MongoDB database in the cloud in just a few clicks. How does MongoDB Atlas secure your data How to create a private network using VPC peering How to easily import MongoDB deployments into Atlas using Live import and Mongo Mirror Using the Real Time Performance Panel to monitor your database in real time < Watch part 1

MongoDB Atlas: La mejor forma de utilizar MongoDB en la nube 1

MongoDB Atlas es la base de datos como servicio que permite implementar, utilizar y escalar una base de datos de MongoDB con tan solo unos pocos clics. Seminario web 1 Qué es MongoDB Atlas y las razones por qué debería usarlo La versión gratuita Asistencia de MongoDB Atlas a despliegues regionales y globales Utilización del explorador de datos para ver las colecciones Funcionamiento de las copias de seguridad en Atlas y utilización de copias de seguridad para efectuar consultas en instantáneas específicas

Building Your First Data Science App in MongoDB

Speaker: Robyn Allen To provide a hands-on opportunity to work with real data, this session will center around a web-hosted quiz application which helps students practice math and memorize vocabulary. After experimenting with a small demonstration dataset (generated by each individual during the workshop), attendees will be guided through working with an anonymized dataset in MongoDB. No prior MongoDB experience is required but attendees are expected to download and install MongoDB Community Edition (available for free from mongodb.com) and have a working Python 3 environment of their choice (e.g., IDLE, free from python.org) installed on a laptop they bring to the workshop. Prerequisites: Attendees are expected to bring a laptop with the following software installed: MongoDB 3.4.x Community Edition The text editor or IDE of their choice A working Python 3 environment of their choice No prior MongoDB experience is required.

Developing Apps for Developing Countries

Speaker: Jameson Hampton

Index Usage for Nested Logical Queries

Speaker: Tess Avitabile, Software Engineer, MongoDB Have you had a case of the horrible ORs? Indexing nested logical queries (ORs inside of ANDs) is traditionally a challenge for databases. In most databases, it’s on the user to ensure their queries are structured in a way that the database can find an indexed solution. In MongoDB 3.6, we recognize more nested logical queries that can utilize indexes. Theoretical computer scientist and query team engineer Tess Avitabile takes you behind the scenes to the MongoDB query planner. By knowing the internals, you will develop an intuitive understanding for when a nested logical query will have an indexed solution. You will also see how we can now index more nested logical queries by manipulating the tree structure of queries.

Jumpstart: Your Introduction to MongoDB

Speaker: Jay Gordon, Developer Advocate, MongoDB MongoDB has grown into one of the world's more popular databases and continues to expand it's reach to developers. In this talk we will discuss MongoDB foundations that attendees can use to begin their journey in creating new apps. By the end of the talk, members attending should feel prepared for the rest of their time at MongoDB World with essential information on how MongoDB works. There is no need to have previous experience with MongoDB to attend this talk, however basic understanding of database systems is recommended.