18 Questions
When designing a schema in MongoDB, what is the recommended approach for combining objects?
Combine all objects into a single document
In MongoDB, what should be considered when duplicating data in the schema?
Consider disk space as cheap compared to compute time
What is the advantage of doing joins while writing in MongoDB?
It speeds up data retrieval during reads
How should the schema be optimized in MongoDB according to the text?
Optimize for most frequent use cases
What does the text suggest about disk space and compute time in MongoDB schema design?
Disk space is more important than compute time
In MongoDB schema design, what is the best practice regarding complex aggregation?
Do complex aggregation within the schema
What is a key feature of the MongoDB schema design mentioned in the text?
Dynamic schema with nested data structures
How does the RDBMS schema design differ from the MongoDB schema design?
RDBMS schema requires joining multiple tables while MongoDB shows data from one collection
Which database system mentioned is specifically designed to handle large amounts of data across multiple servers?
Cassandra
What benefit does Apache Cassandra provide in terms of availability?
High availability with no single point of failure
In the MongoDB schema design, what structure is used to represent the tags associated with each post?
Array
What type of database is Apache Cassandra categorized as?
NoSQL Database
What is the advantage of MongoDB over RDBMS in terms of schema design?
MongoDB allows for a dynamic schema, where one collection can hold different documents with varying structures.
How does MongoDB handle the structure of a single object in a document?
The structure of a single object is clear in MongoDB documents.
What type of queries can be performed in MongoDB due to its dynamic schema?
Dynamic queries on documents using a powerful query language.
How does MongoDB differ from RDBMS regarding the number of tables and relationships?
MongoDB has no concept of table relationships, unlike RDBMS.
Which feature contributes to the 'deep query-ability' advantage of MongoDB?
Dynamic queries on documents using a powerful query language.
How does MongoDB's ease of scale-out differ from traditional databases?
MongoDB provides easy scalability through its architecture.
Learn about embedding different employee information documents into a single document in a normalized data model. Understand how to structure data for efficient retrieval and management.
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