Course info
Jun 11, 2020
1h 45m

MongoDB occupies the 5th position in database usage, making it a popular and trending technology. In this course, Querying Data from MongoDB, you will learn how to efficiently create Mongo DB queries. First, you will explore using the Mongo shell to connect to Mongo servers and write database queries. Next, you will discover how to filter data by using the most common query operators. Then, you will move on to implementing sorting, paging and field selection. Beyond this, you will learn how to write complex queries such as nested documents or geospatial data. Finally, you will gain an understanding on handling edge cases caused by the schema-less nature of MongoDB, such as null values, missing fields or queries by data type, as well as querying array fields. By the end of this course, you should feel confident tackling a wide range of queries in real MongoDB databases. In fact, you will be able to use these skills in real projects right away.

About the author
About the author

Dan is a passionate software developer, clean code enthusiast, and blogger. He loves to write code and to create software courses for aspiring programmers.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
[Autogenerated] Hi, everyone. And welcome to my course. Querying data from Mongo DB My name is Dan Jamuna. I am a passionate, softer developer, crinkled into zest and blogger. You can find you online on Twitter, Pat Romanian coder or my blawg www that remain colder, not come. I'm really excited about this course because I have been working with Mongo db for seven years and I have the chance to use it in a variety of projects on with all the major technology stacks. As you may know, Mongo DB is a popular and trending technology. In fact, it occupies the fifth position in database usage, so it's a great time to learn about it, and his course will help you become proficient at scoring data, along with maybe some of the major topics that we will cover include filtering data by using the most common quarry operators, implementing sorting Beijing and feel selection writing complex queries for Nestor documents or geospatial later hunting. Each case is caused by the scheme Alice Nature of Mongo DB. Such is now missing fields or queries by feel type, and finally we'll look into acquiring array feels by the end of this course you will learn harder. Tackle most aspects related to finding documents in a mongo database. What's even better? We'll be able to use your skills in real projects right away. Before beginning this course, you should have a good understanding of how databases work in general and some basic JavaScript and Jason knowledge. I hope you'll join me on this exciting journey to learn how to quit date and mongo. Db it according data from Uncle Be course, get a parasite.