| Sumario: | MongoDB is one of the most widely used databases in the enterprise. It employs a document-based data model that allows for agile and iterative development, is designed to be highly scalable, and can handle large amounts of data. Understanding the fundamentals of MongoDB is crucial for any data professional who wants to work with modern data technologies and build scalable applications with a robust database. In this on-demand course, join Jean Nunes da Silva as he guides you on how to get started with MongoDB. You'll learn about key components and the internal structure of MongoDB; how to create and manage databases, collections, and documents; how to use CRUD operations to manage data effectively; how to use indexes to optimize query performance, as well as advanced querying techniques; and how and when to use security features. After this course, you'll be able to create, manage, and develop on a MongoDB database for your own data driven applications. What you'll learn and how you can apply it MongoDB's internal structure Data modeling concepts and best practices for MongoDB MongoDB security and best practices Install MongoDB Design and build MongoDB databases and collections Query and filter data in MongoDB using different techniques Optimize MongoDB query performance This course is for you because... You're a developer whos want to build scalable, modern applications by using a popular NoSQL database that offers a flexible data model and high performance. You're a database administrator who wants to expand your knowledge of database management and add MongoDB to your skillset. You're a data analyst who needs to work with large datasets and want to learn how to use a powerful set of querying and aggregation tools, via MongoDB, to perform advanced analytics. You're a data engineer who wants to learn how to design and build MongoDB databases and collections, as well as best practices on modeling data to build a scalable and responsive structure. Prerequisites: Basic command-line proficiency Previous experience with other databases or programming language knowledge, such as JavaScript, is welcome but not required.
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