This is Module 5 of the Data Engineering Complete course where Aditya Sharma (Data Architect at PepsiCo) will give you all information about CAP Theorem and ACID Properties Check out our free masterclasses by industry-leading experts here: https://www.scaler.com/events?utm_sou...

Topics Covered
00:00 - Introduction
01:03 - ACID Definition
06:45 - ACID Properties & Examples
14:12 - CAP Theorem
28:17 - Delta Live Tables
30:35 - Advantages of Data Live Tables
39:10 - ADF Dashboard

CAP Theorem and ACID properties are two fundamental concepts in data engineering, each addressing different aspects of designing and managing data systems.

What is CAP Theorem?
The CAP Theorem, proposed by computer scientist Eric Brewer in 2000, asserts that in a distributed data system, it is impossible to simultaneously achieve Consistency, Availability, and Partition tolerance. Consistency refers to all nodes in the system having the same data at the same time, Availability ensures that every request receives a response, even if some nodes are down, and Partition tolerance allows the system to continue operating despite network failures.

According to CAP, a distributed system can only guarantee two out of these three properties at any given time, leading to trade-offs in system design. For instance, in scenarios where network partitions are common, designers may prioritize Availability and Partition tolerance over strong Consistency, leading to eventual consistency models like those employed in NoSQL databases.

What are ACID Properties?
On the other hand, ACID (Atomicity, Consistency, Isolation, Durability) properties define the characteristics that ensure reliability and integrity in database transactions. Atomicity guarantees that transactions are treated as a single unit, either fully completed or not at all, Consistency ensures that only valid data is written to the database, Isolation ensures that the concurrent execution of transactions produces a result that is equivalent to some serial execution, and Durability guarantees that once a transaction is committed, it will remain in the system even in the event of a crash. ACID properties are essential for maintaining data integrity and reliability in traditional relational database systems.

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