Data-Replication

Data replication is a crucial process in modern computing that involves copying and maintaining data across multiple locations or systems. This technique enhances data availability, durability, and performance by ensuring that information is accessible from various sources. It is widely used in distributed systems, databases, and cloud environments to prevent data loss and minimize downtime during failures. By implementing different replication strategies, such as master-slave or multi-master setups, organizations can improve system resilience and provide faster access to data for users across different geographical locations. Overall, data replication plays a vital role in ensuring the reliability of data-driven applications.

Data Replication: A Key Component for Building Large-Scale Distributed Systems

 ByteByteGo Newsletter

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

 Towards Data Science

In the modern era of big data, 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 to…

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Mastering Database Replication: An Essential Guide for 2024

 Javarevisited

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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Mastering Database Replication: An Essential Guide for 2023

 Level Up Coding

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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Data Replication for DBMS Using the Commit Log

 Better Programming

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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Latency and consistency tradeoffs for data replication

 ByteByteGo Newsletter

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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How Database Replication Works

 Better Programming

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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Synthetic Data

 Analytics Vidhya

Every year the world generates more data than the previous year. According to International Data Corporation, in 2020, an estimated 59 zettabytes of data will be “created, captured, copied, and…

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5 Tools for Reproducible Data Science

 Towards Data Science

The definition of reproducibility in science is the “extent to which consistent results are obtained when an experiment is repeated”. Data, in particular where the data is held in a database, can…

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Advanced Database Replication Strategies and Troubleshooting

 Javarevisited

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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Replication, psychology, and big science

 Simply Statistics

Reproducibility has been a hot topic for the last several years among computational scientists. A study is reproducible if there is a specific set of computational functions/analyses (usually specifie...

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How to Choose a Replication Strategy

 ByteByteGo Newsletter

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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