Gain insights into database internals, explore different database types, delve into their structures, and discover the data structures and transaction features essential for efficient data management.

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Databases are a type of system for storing data in an organized manner. Understanding the inner workings of databases and knowing about paradigms used in different types of databases is crucial for organizing information. 

In this course, you’ll learn about the fundamental characteristics of databases, how they’re structured internally for efficient distribution, what kind of capabilities are needed to support the distribution model, what features transactions provide, and how they’re implemented.

Different kinds of databases—and their structure, architecture, and functionality—will be discussed in depth. You’ll also learn about data structures that work best in certain database models and why they’re chosen over others. After completing this course, you’ll know the basic building blocks and mechanics behind every kind of database management system you might encounter.

Deep Dive into the Internals of the Database

Linearizability is a strong consistency model.

Linearizability gives the illusion of a single copy of the data in a distributed environment.

Linearizability is an isolation guarantee, which focuses on how concurrently running transactions see each other’s data.

Linearizability ensures that backward movement of data does not happen.

**(Select all that apply.)** Which of the following statements are valid for linearizability?

(Select all that apply.) Which of the following statements are valid for linearizability?

**(True or False)** Sequential consistency ensures that the result of concurrent operations by multiple clients are sequenced in order.

(True or False) Sequential consistency ensures that the result of concurrent operations by multiple clients are sequenced in order.

**(True or False)** Two events are causally related if one event happens before the other. 

(True or False) Two events are causally related if one event happens before the other.

Test your understanding on consistency models.

Introduction

Taxonomy of Databases

Database Architecture

Data Structures used in Databases

Disk Layout

Database Index

Transaction

Replication

Partitioning

Concurrency Controls

Consistency Models

Consensus

Common Problems Associated with Distributed Databases

Conclusion

Database Internals Assessment

Quiz on Consistency Models