data_eng.tar.gz

AWS_ACCESS_KEY_ID

AWS_SECRET_ACCESS_KEY

AWS_DEFAULT_REGION

Apache_Druid

Mapreduce

aws_load_balancer

service_sharding

cqrs

apache_spark

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

Multi-stage user registration on a website.

**(Select all that apply)** Which of the following is a good example of the session-tracked service?

(Select all that apply) Which of the following is a good example of the session-tracked service?

**(True or False)** In lambda architecture, read and write paths are separated.

(True or False) In lambda architecture, read and write paths are separated.

CQRS is possibly suitable for large-scale systems.

Write and read databases have to be synced.

Read schema can be optimized for various use cases.

In CQRS, the command and query are on the same path.

**(Select all that apply)** Which of the following statements about CQRS is false?

(Select all that apply) Which of the following statements about CQRS is false?

**(True or False)** In a sharded services pattern, the whole application is replicated in multiple nodes.

(True or False) In a sharded services pattern, the whole application is replicated in multiple nodes.

**(True or False)** In lambda architecture, the speed layer ensures speed but the batch layer ensures correctness.

(True or False) In lambda architecture, the speed layer ensures speed but the batch layer ensures correctness.

Evaluate your understanding of the architectural patterns discussed in the chapter.

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 #12: Distributed Systems Architecture Patterns