What are the different data management techniques and how do they compare?

What are the different data management techniques and how do they compare?

There are several data management techniques, including relational databases, NoSQL databases, data lakes, and data warehouses. Each has its strengths and weaknesses depending on the use case.

Can you explain the differences between relational databases and NoSQL databases?

Relational databases use structured query language (SQL) and are great for structured data with relationships. NoSQL databases, on the other hand, are more flexible, allowing for unstructured data and horizontal scaling.

What are the advantages of using a data lake?

Data lakes allow for the storage of vast amounts of raw data in its native format, making it easier to analyze diverse data types. They are cost-effective and support big data analytics.

When should I choose a data warehouse over a data lake?

Choose a data warehouse when you need structured data for reporting and analysis, as it provides optimized performance for complex queries.