Category: Database
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DAX – Amazon DynamoDB Accelerator
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Watch Video Amazon DynamoDB Accelerator (DAX) is a fully managed, highly available, in-memory caching service specifically designed to enhance Amazon DynamoDB performance. It is ideal for read-heavy applications that require extreme speed, such as real-time gaming, bidding platforms, and high-traffic retail sites. Let us deep dive To use Amazon DynamoDB Accelerator (DAX), you create a cluster within your Virtual Private Cloud (VPC) and modify your application to use the client SDK to point to the cluster endpoint. No application logic changes are required because DAX is API-compatible with DynamoDB. DAX Setup and Configuration Create a DAX Cluster By using either the AWS Command Line…
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How Databases Guarantee Durability (Even After Crashes)
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One of the things that make databases truly powerful is their ability to protect your data even in the face of unexpected failures. Whether the database server crashes, restarts, or there’s a sudden power outage, you can trust that your committed data won’t simply disappear. This promise is known as Durability — one of the four essential ACID properties of databases. But, what does it actually take to make a database durable? In this article, we’ll explore the key techniques databases use to ensure durability, including: 1. Write-Ahead Logging (WAL) One of the most fundamental techniques databases use to guarantee…
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Sharding vs. Partitioning
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Sharding and partitioning are two of the most commonly confused concepts in system design. At first glance, they may seem similar, and people often use them interchangeably. But they are not the same. Both are techniques to divide and scale large databases; however, they differ in how the data is divided. Simply put, partitioning typically means breaking down database tables within a single server while sharding is about distributing data across multiple servers. In this article, we’ll clear up the confusion between the two. You’ll learn: 1. What is Partitioning? Partitioning is the process of splitting a large database table…
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