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Mastering Database Replication: An Essential Guide for 2024
Image from Level Up Coding Introduction In the digital age, data is the backbone of businesses, and ensuring its availability, consistency, and durability is paramount. Database replication is a funda...
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Replication
This one is especially popular with databases, and it helps with scaling them, too. Replication means you will run a few instances of your service in parallel with duplicated data, all handling incomi...
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Mastering Database Replication: An Essential Guide for 2023
Grokking System Design Fundamentals Dive Deep into Replication Techniques, Their Challenges, and What the Future Holds. In our interconnected world, data is the heart of many systems. Whether you’re ...
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How to Choose a Replication Strategy
In the last issue, we kicked off a 2-part series exploring common data replication strategies. We learned about the leader-follower model - its synchronous and asynchronous variations, consistency con...
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Data Replication: A Key Component for Building Large-Scale Distributed Systems
Data replication is critical for building reliable, large-scale distributed systems. In this issue, we will explore common replication strategies and key factors in choosing a suitable strategy. Throu...
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Database Replication Explained 3
In the modern era of the internet, data replication is everywhere. From bank accounts to Facebook profiles to your beloved Instagram pictures, all data that people deem important are almost for sure…
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Database Replication: Benefits and Trade-Offs
Design better systems by understanding the trade-offs and benefits of database replication Continue reading on Better Programming
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How Database Replication Works
Databases are an essential piece of almost every software product. A database is an organized place to store data. At some point, every company realizes that the amount of data they have increases…
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System Design Fundamentals: Data Replication and Partitioning
The performance of a system is usually dependent on how well its database performs. If a system’s database is down, the system as a whole is very likely to be unavailable. Similarly, if a system’s…
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Advanced Database Replication Strategies and Troubleshooting
Image from Fivetran In the fast-paced realm of database technologies, mastering replication not only involves setting up but also optimizing and troubleshooting to ensure high performance and durabili...
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Latency and consistency tradeoffs for data replication
Understanding the tradeoffs is very important not only in system design interviews but also designing real-world systems. When we talk about data replication, there is a fundamental tradeoff between l...
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Replication & Partitioning in Distributed Systems
To build modern Data-Intensive applications, it’s almost a mandatory requirement for these applications to be distributed. And in every distributed system, data replication and partitioning play…
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Data Replication for DBMS Using the Commit Log
In this article, we will see how developers can break down information silos for their teams and business by replicating data across multiple systems. First, we will review why developers will…
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Master-slave replication
In this scenario, all the servers are able to perform read-only operations, but there's only one master server that can also write. The data is replicated from the master, through the slaves, either i...
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Multi-master replication
You can also have a system with multiple master servers. If there are two servers, you have a master-master replication scheme. If one of the servers dies, the others can still operate normally. Howev...
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Deep Dive into Primary/Secondary Replication for Fault Tolerance
A very common tradeoff pattern in distributed systems today is presented as follows: to scale up services and achieve high performance, a common strategy used is to shard data horizontally across…
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Data Versioning: All You Need to Know
Introduction to Data Versioning with LakeFS command line. lakeFS introduces git-level manageability of your data and introduces CLI and UI interfaces to work with
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Setup MySQL Replication Cluster: Architecture, Use Cases and Tutorial
In the era of cloud computing, there are many managed MySQL solutions available. However, due to data compliance, and other audit requirements, we will have to choose self-managed solutions. In such c...
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Distributed Databases: Addressing the challenges
Distributed Databases: Addressing the Challenges Photo by Markus Winkler on Unsplash Like typical database management systems, distributed database management systems also store data. Still, the only...
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Read replica pattern
In this post, we talk about a simple yet commonly used database design pattern (setup): Read replica pattern. In this setup, all data-modifying commands like insert, delete, or update are sent to the ...
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How to implement read replica pattern
There are two common ways to implement the read replica pattern: 1. Embed the routing logic in the application code (explained in the last post). 2. Use database middleware. We focus on option 2 here....
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Introduction to Distributed Data Storage
Data is today’s foundation! It supports everything from your favorite cat videos to the billions of financial transactions that happen everyday. At the heart of all this is distributed data storage…
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The Data Share — Join our Discord
Having been a part of Towards Data Science (TDS) for a couple of years now and watched our community grow to the hundreds of thousands of readers we have today, I thought it was about time that we…
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Replicate Data between 2 Oracle Autonomous Database using OCI Marketplace GoldenGate 19c…
Oracle Autonomous Database now supports capturing of Data as Source using an Extract and applying it to another Autonomous Database in another region. Previously with Goldengate you could only replica...
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