Analyzers in Atlas Search
Learn all about analyzers in Atlas Search and the crucial role they play in making search results relevant and accurate.
Analyzers in Atlas Search
Unit Overview
In this unit, you'll learn all about analyzers and how they enhance applications to provide the most relevant and accurate search results based on your use case. You'll learn how to use built-in analyzers to improve search results, as well as use multiple analyzers on a single field in your data. Finally, you’ll learn how to create a custom analyzer to transform, filter, and group characters for specific use cases.
Prerequisites
- Getting Started with MongoDB Atlas
- MongoDB Aggregation
- MongoDB Indexes
- Introduction to Atlas Search
- Advanced Queries with Atlas Search
Lessons in This Unit
- Lesson 1 – Analyzer Overview
- Lesson 2 – Built-In Analyzers
- Lesson 3 – The multi Option
- Lesson 4 – Custom Analyzers: Character Filters
- Lesson 5 – Custom Analyzers: Tokenizers
- Lesson 6 – Custom Analyzers: Token Filters
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01.
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02.Lesson 2: Built-In Analyzers
- Learn
- Practice
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03.Lesson 3: The multi Option
- Learn
- Practice
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04.Lesson 4: Custom Analyzers: Character Filters
- Learn
- Practice
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05.Lesson 5: Custom Analyzers: Tokenizers
- Learn
- Practice
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06.Lesson 6: Custom Analyzers: Token Filters
- Learn
- Practice
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07.Conclusion
- Learn
John McCambridge | University Curriculum Engineer
John is a Curriculum Engineer on the University team at MongoDB. Before his work as a Curriculum Engineer, he was an instructor and teaching assistant for coding boot camps at UT (Austin), and UCLA. Additionally, he worked as a QA engineer for a startup called Coder and spent five years at Apple Inc. John is a passionate software engineer and educator who enjoys taking complex topics and making them digestible for the community.
Katie Redmiles | Curriculum Designer
Katie is a Curriculum Designer at MongoDB. Before joining the Curriculum team, Katie worked on the University Enablement team developing Learning Bytes and instructional materials for the MongoDB for Academia program. Katie also worked within the Digital Learning Division at the Foreign Service Institute where she honed her skills at developing online learning for a global audience. Katie is passionate about making education accessible and engaging for everyone.
Vick Mena | Director, Curriculum
My name is Vick and I've been in the wild for over 25 years. I grew up at IBM working on the BIOS for the IBM eServer line in Austin, TX before moving to Wall St. I've worked on all phases of software development from low-level to middleware to UI but feel most comfortable in the middle. I also drank the devops kool-aid having moved a product line to AWS while at Dow Jones & Co with the help of an amazing team. I then pivoted into the secure space and worked on software/hardware reverse engineering. I always thought I'd eventually teach and this role lets me leverage all of my experience to lead this motley crew of passionate educators.
Sarah Evans | Senior Curriculum Engineer
Sarah is a Senior Curriculum Engineer on the Curriculum team at MongoDB. Prior to MongoDB, she taught and developed curricula for developer bootcamps. Sarah has a MAT degree from Columbia University Teachers College and studied Software Engineering at Flatiron School in Chicago, IL.
Manuel Fontan Garcia | Senior Technologist
Manuel is a Senior Technologist on the Curriculum team at MongoDB. Previously he was a Senior Technical Services Engineer in the Core team at MongoDB. In between Manuel worked as a database reliability engineer at Slack for a little over 2 years and then for Cognite until he re-joined MongoDB. With over 15 years experience in software development and distributed systems, he is naturally curious and holds a Telecommunications Engineering MSc from Vigo University (Spain) and a Free and Open Source Software MSc from Rey Juan Carlos University (Spain).
