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Advanced Topic 37 of 51 Databases

Replication

Copying data across servers for availability.

How it works

Replicas copy data from a primary via logs, synchronously (safe, slower) or asynchronously (fast, may lose recent writes). Replicas serve reads and provide failover.

Where it is used

High availability and read scaling.

Common pitfall

Replication lag causes stale reads.

Where it fits in the course

Replication is topic 37 of 51 in Databases, rated Advanced. It follows Database Partitioning. The next topic is Sharding.

Practice and explore

How to study this topic

  1. Read the explanation above and restate the definition in your own words.
  2. Open the interactive lesson and answer its mini quiz.
  3. Read the common pitfall, then write a short example that avoids it.
  4. Check your understanding in the Databases quiz, and revisit the topic if you miss a question.

Frequently asked questions

What is Replication?
Copying data across servers for availability. It belongs to Databases and is an advanced-level topic.
Where do people use Replication?
High availability and read scaling.
What is the most common mistake with Replication?
Replication lag causes stale reads.
What should I learn before this topic?
Start with Database Partitioning, the topic just before it in Databases.
How can I practice it?
Answer the mini quiz in the interactive lesson, then take the Databases quiz.
Is Replication hard to learn?
It is an Advanced topic. Expect to read the explanation more than once and to connect it with earlier topics. Working through a small example by hand helps most.
How long does it take to learn Replication?
Most learners can read the explanation and finish the interactive lesson in under an hour. Fluency comes from applying the idea, so plan a few short practice sessions with the quiz.
Which topics are related to Replication?
Database Partitioning, Sharding, Recovery and Logging are closely connected. The full list is in the related topics section of this page.
What should I study after Replication?
Continue with Sharding, the next topic in Databases.

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