Gain insights into distributed systems, learn architectural patterns like replication and sharding, and explore Apache Spark and Druid to design and develop effective distributed applications.

data_eng.tar.gz

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apache_kafka

Gone are the days when monolithic applications were the norm. Most applications that we use today are too complex for that type of construction. Instead, most applications that appear as a single unit are actually built as a collection of inter-operating but independent computational components. Developers are expected to have mastery over a programming language or two. Moreover, they should also know the basics of distributed systems in order to succeed.

In this course, you’ll learn what a distributed system is, followed by the challenges unique to distributed systems. You’ll cover popular architectural patterns for achieving targets like replication and sharding. You’ll finish with a study of two popular distributed systems: Apache Spark and Apache Druid.

With the knowledge gained through this course, you’ll be able to design and develop distributed systems. You’ll be able to make optimal design and architectural choices based on the application requirements.

Introduction to Distributed Systems for Dummies

**(True or False)** Replication lag is a rare phenomenon in distributed systems.

(True or False) Replication lag is a rare phenomenon in distributed systems.

Which consistency model is suitable for an app that sends money from one user to another?

Which consistency model is suitable for an app that sends money from one user to another?

The system should continue but show an error message to the users.

The system should be made unavailable and the inconsistency must be resolved, if required, through manual intervention.

What should happen in a strongly consistent system if an inconsistent state appears?

What should happen in a strongly consistent system if an inconsistent state appears?

**(True or False)** Generally, eventual consistency suits all different systems at the beginning.

(True or False) Generally, eventual consistency suits all different systems at the beginning.

If $RF = 5$, which of the following gives strong consistency?

If <math><semantics><mrow><mi>R</mi><mi>F</mi><mo>=</mo><mn>5</mn></mrow><annotation encoding="application/x-tex">RF = 5</annotation></semantics></math>RF=5, which of the following gives strong consistency?

​​Evaluate your understanding of consistency in distributed systems.

Introduction

What Distributed Systems Achieve for Us

Data in Distributed Systems

Communication Between Nodes

Data Processing in Large Scale

Distributed System Architectural Patterns

Case Study 1: Apache Spark

Case Study 2: Apache Druid

Conclusion

Quick Quiz #8: Consistency