MongoDB

Technologies: Mongo 3.4.3, MongoDB 4.0
MongoDB is a NoSQL database program that uses JSON-like documents with schemata and it has become a popular tool for data wrangling and data science. To carry out data wrangling tasks you need to gather, filter, modify, and query data. This course will show you how to perform MongoDB actions related to data wrangling using Python with the PyMongo library.…
MongoDB is a NoSQL database program that uses JSON-like documents with schemata and it has become a popular tool for data wrangling and data science. To carry out data wrangling tasks you need to gather, filter, modify, and query data. In this Skillsoft Aspire course, you will learn to perform MongoDB actions related to data wrangling through the PyMongo library.
MongoDB is a powerful NoSQL database that can use Spark to perform real-time analytics on its data. Examine how to integrate and use MongoDB and Spark together using Java and Python.
One of MongoDB's best strengths is its ability to scale. Examine cloud deployments of MongoDB using Cloud Manager and how MongoDB can integrate with Hadoop.
The MongoDB Java Driver can be used to provide both synchronous and asynchronous interaction with MongoDB. Explore the Java Async Driver for making asynchronous connections in MongoDB.
MongoDB tends to be heavily used in performance-critical and large-scale environments. This means monitoring and backup solutions are important. Discover how to monitor MongoDB stats, and work with backup and restore methods.
It's important that data in a MongoDB database is available to users at all times and that it's secure. Discover how to configure replication and security for MongoDB.
MongoDB has some very powerful features to allow you to query and manipulate data. Explore the use of MapReduce and Atomic Counters, as well as how to store binary data using BSON.
MongoDB includes a number of features to query and manipulate data. Discover how to use persistence, Java REST API, and GridFS in MongoDB.
Managing MongoDB is more than just storing and retrieving data. Explore the operational requirements and user management tasks that must be handled to manage MongoDB users.
Correctly managing a MongoDB allows for seamless storing and retrieval of data. Discover how to manage databases and collections, as well as use the GUI management tools.
MongoDB can be queried, manipulated, and managed with Python. Discover how to install the Python driver for MongoDB - PyMongo, use GridFS with Python, and use a Python REST interface.
MongoDB provides CRUD operations to read and write documents within collections. Discover how to create and manage documents, as well as how to query them using the find() method and aggregation.
Administrating a MongoDB database includes ensuring queries respond fast enough for users to obtain the correct data from the database. Learn how to create indexes and perform query optimization in MongoDB.
MongoDB is an open-source documentation database that can be installed on various operating systems with minimum requirements. Explore MongoDB, and discover how to install it on Linux and Windows.