Description
Course info
Level
Beginner
Updated
Jun 23, 2020
Duration
1h 38m
Description

MongoDB is amazing! It is fast, reliable, highly scalable, and flexible; it is so flexible that since its beginnings it allows for full text search. In this course, Searching for Text in MongoDB, you will learn everything you need to know about text searches and indices. First, you will learn about text queries in MongoDB. Next, you will discover how to refine and order your results by relevance. Finally, you will explore how to handle corner cases with multiples languages, case-sensitiveness, and diacritic sensitiveness in your collections. When you have finished this course, you will have a foundational knowledge of full text search in MongoDB that will enable you to create pretty amazing and complex queries to search for text patterns!

About the author
About the author

Axel Sirota has a Masters degree in Mathematics with a deep interest in Deep Learning and Machine Learning Operations. After researching in Probability, Statistics and Machine Learning optimization, he is currently working at JAMPP as a Machine Learning Research Engineer leveraging customer data for making accurate predictions at Real Time Bidding.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi everyone. My name is Axel Sirota. Welcome to my course, Searching for Text in MongoDB. I am a machine learning engineer at ASAPP, ML fanatic, Python overtime lover, and I am very excited to present this to you. MongoDB is amazing! It is fast, reliable, highly scalable, and flexible. It is so flexible that since its beginnings, it allows for full‑text search. Full‑text search is a feature that enables you to submit keyword queries that should match titles, descriptions, and text in other fields within a collection. Our journey begins at the definition of text queries in MongoDB and understanding the nuances of the text operator. Next, we will learn about ordering our results by relevance and how to refine our text queries for optimal results, only to deep dive into text indexes, the main ingredient for full‑text search in MongoDB. Finally, you will explore how to handle corner cases with multiple languages, case sensitiveness, and diacritic sensitiveness in your collections. When you have finished this course, you will have a foundational knowledge of full‑text search in MongoDB that will enable you to create pretty amazing and complex queries to search for text patterns. I hope you'll join me on this journey to learn how to search for text with the Searching for Text in MongoDB course, at Pluralsight.