What is data modeling and how does partitioning work?
Data modeling is the process of creating a visual representation of a system's data. Partitioning involves dividing data into distinct segments to improve performance and manageability.
Why is partitioning important in data modeling?
Partitioning helps optimize query performance, manage large datasets more efficiently, and improve data retrieval times.
Can you explain the different types of data partitioning?
Sure! There are several types of data partitioning, including horizontal partitioning, vertical partitioning, and range partitioning, each serving different use cases.
How do I decide which partitioning strategy to use?
Choosing a partitioning strategy depends on your data access patterns, the size of your dataset, and the specific performance goals you want to achieve.
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