MongoDB is the most popular NoSQL database in the market today. With support for real-time analytics, it is being used by many big enterprises for efficient and fast processing of data. The importance of NoSQL databases, and particularly MongoDB, has also increased with the rise of IoT.Spanning over 4 hours, this tutorial will show you how you can get the most out of MongoDB’s advanced features with ease. After getting a quick overview of the basics of MongoDB, you will directly jump to covering the concepts related to advanced data modelling, complex querying, indexing and database operations. You will also implement a highly available MongoDB database for high performance by implementing techniques like sharding, aggregation and replication. Finally, you will also cover aspects like cloud deployment which is important when it comes to web applications, and integration with Hadoop for fast and efficient Big Data processing.By the end of this tutorial, you will have mastered all the concepts of MongoDB when it comes to querying, data modelling and the other database operations.
About the Author
Rick Copeland is the Principal Consultant of Arborian Consulting, which provides MongoDB and Python-focused consulting, training, and custom development services. Rick has been using MongoDB since 2009 and Python since 2005, and has spoken at various user groups and conferences on both topics. He is a member of the Python Software Foundation and the Masters of MongoDB.
The viewer is probably familiar with SQL databases such as Postgres or MySQL and is interested in MongoDB. This video will position MongoDB versus relational (SQL) databases, with a special take on the why of the differences.
One of the biggest differences between MongoDB and SQL databases is the use of BSON documents to store data. This video shows how BSON documents are structured to contain complex data.
Replication is the core method to achieve durability in MongoDB. Developers need to understand why replication is important and the basics of how it works.
MongoDB clusters scale best by sharding (partitioning) data across many servers. Developers need to know the basics of how this works and how it affects their application design.
To start using MongoDB, you must be able to connect to a database server using the "mongo" command-line shell and perform basic operations.
How can you query the database using the shell?
The student should be able to write simple data to the database as well as query.
The student should be able to use the shell to create and drop various index types.
To start using MongoDB, the student must be able to connect to a database server using the pymongo driver.
The student needs to know how to manage cursors through large data sets in pymongo.
The student should be able to write performant bulk load/update scripts using pymongo.
The student needs to understand how MongoDB uses its basic b-tree indexes for both queries and sorting.
Understand how MongoDB documents give more flexibility to schema design.
Understand how to design your schema to allow for scaling via sharding.
Understand how and when to use MongoDB's covered queries, geospatial indexes, and full-text indexes.
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