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In each instalment of the series, a specialist demonstrates how their preferred tool would handle each task, giving you key insights into where each database excels—or falls a little short. Join Kirsten Hunter as she shows how MongoDB, a powerful document database, would deal with these challenges. Kirsten demonstrates how to create a database in MongoDB, join data sets, and search data after discussing the strengths and weaknesses of MongoDB. She also discusses create, read, update, and delete (CRUD) operations in MongoDB, as well as how to perform calculations in the database.
Syllabus :
1. Data and MongoDB in Five Minutes
- A brief overview of MongoDB
- Strengths and weaknesses of MongoDB
2. Create a Database
- Database creation
- Overview of database creation in MongoDB
- Explore the data structure
- Create a database in MongoDB
- Insights on database creation in MongoDB
3. Join Two Data Sets
- Locked content
- Join data sets
- Overview of data joins in MongoDB
- Import data
- Combine two data collections
- Calculate on joined data collections
- Insights on joining data sets in MongoDB
4. Search a Database
- Search a database
- Overview of search in MongoDB
- Aggregation functions in MongoDB
- Search a database in MongoDB
- Insights on searching data in MongoDB
5. Create, Read, Update, and Delete Operations
- CRUD operations
- Overview of CRUD operations in MongoDB
- Create records in MongoDB
- CRUD operations in MongoDB
- Insights on CRUD operations in MongoDB
6. Averages and Calculations
- Calculations
- Overview of calculations in MongoDB
- Reshape data for calculations
- Perform calculations in MongoDB
- Insights on calculations in MongoDB
