Brief Summary
This course dives into MongoDB's advanced features, focusing on indexing, aggregation, and replication. By the end, you'll know how to create various indexes, perform complex queries, and ensure your database's availability like a pro.
Key Points
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Understanding single field, compound, and multikey indexes.
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Learning geospatial indexes and how to query them.
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Mastering text indexes for full-text searches.
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Performing aggregation operations to group document values.
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Implementing replication for data availability and redundancy.
Learning Outcomes
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Create and configure different types of indexes.
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Perform geospatial queries for locations.
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Execute aggregation operations to analyze data.
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Understand data redundancy and replication strategies.
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Support full-text search capabilities in your database.
About This Course
A complete guide for Indexing, Aggregation and Replication in MongoDB
MongoDB is a scalable and high-performance open source leading NoSQLdatabase designed to handle document-oriented storage. This course on MongoDB will give you great understanding on MongoDB concepts needed to create and deploy a highly scalable and performance oriented database.
By the completion of this Advanced MongoDB development Course, you will have a strong understanding of how to use the advanced concepts in MongoDB such as Indexing, Aggregation and Replication. In this course we'll cover:
- Single Field Indexes, Compound Indexes and Multikey Indexes
- Geospatial Indexes and Queries
- Text Indexes
- Performing Aggregation operations to group values from multiple documents
- Replication for redundancy, data availability and protecting a database from the loss of a single server.
All the books and PDFs are included, allowing you to follow along with the author throughout the modules in this course.
Create and configure different types of indexes for different purposes.
Create indexes that support data stored as GeoJSON objects and legacy coordinate pairs.
Build and configure indexes that support full-text searches.
Saswata D.
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