Understanding B-Trees: The Data Structure Behind Modern Databases
B-trees are a popular data structure for storing large amounts of data, frequently seen in databases and file systems. But how do they really work? What makes them efficient? In this video, we explore the inner workings of the B-tree, aiming to understand the properties that make them useful and the elegant algorithms that make working with them possible.
In this tutorial, Joshua Maas-Howard introduces the topic of B-Trees. You'll learn how B-Trees are structured, what their benefits are, and when you should think about using them.
In this lecture we are going to consider the concepts and data structures behind databases and the external memory.
We need totally different approaches than with internal memory. Why? Because we have to take access time into consideration. It is way slower to access an item present on the external memory. This is why we cannot apply the same approaches as we have seen with standard data structures (such as arrays, linked lists...).
We will come to the conclusion that B-trees are the best data structures for organizing data on the external memory. And this is exactly why databases rely heavily on B-trees as well.
Understanding B-Trees: The Data Structure Behind Modern Databases
B-trees are a popular data structure for storing large amounts of data, frequently seen in databases and file systems. But how do they really work? What makes them efficient? In this video, we explore the inner workings of the B-tree, aiming to understand the properties that make them useful and the elegant algorithms that make working with them possible.
In this tutorial, Joshua Maas-Howard introduces the topic of B-Trees. You'll learn how B-Trees are structured, what their benefits are, and when you should think about using them.
In this lecture we are going to consider the concepts and data structures behind databases and the external memory.
We need totally different approaches than with internal memory. Why? Because we have to take access time into consideration. It is way slower to access an item present on the external memory. This is why we cannot apply the same approaches as we have seen with standard data structures (such as arrays, linked lists...).
We will come to the conclusion that B-trees are the best data structures for organizing data on the external memory. And this is exactly why databases rely heavily on B-trees as well.
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