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Article: The Next Evolution of the Database Sharding Architecture

InfoQ Articles

In this article, author Juan Pan discusses the data sharding architecture patterns in a distributed database system. She explains how Apache ShardingSphere project solves the data sharding challenges. Also discussed are two practical examples of how create a distributed database and an encrypted table with DistSQL. By Juan Pan.

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Replication and Sharding in MongoDB Tutorial | Simplilearn

Simplilearn

Replication and Sharding Hello and welcome to Lesson 5 of the Mongo DB Developer course offered by Simplilearn. This lesson will explain how the replication and sharding features in MongoDB help in scaling read and write operations. Let us explore the objectives of this lesson in the next screen.

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Capped Collection in MongoDB | Simplilearn

Simplilearn

Written in C++, this open-source NoSQL database has a sharding and aggregation framework, coupled with fine-grained locking, document validations, and all solutions required to meet the complex requirements of modern applications. Flexibility, scalability, and easy usage have helped MongoDB, a document-oriented database rise to popularity.

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Article: Create Your Distributed Database on Kubernetes with Existing Monolithic Databases

InfoQ Articles

Apache ShardingSphere is the ecosystem to transform any database into a distributed database system and enhance it with sharding, elastic scaling, encryption features, and more. However, they are more difficult to manage than the application layer, since Kubernetes is designed for stateless applications. By Trista Pan.

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Things to Know Before Using AWS Elasticsearch

Whizlabs

Know About the Elasticsearch Shard Design and Index. The data partitions within the Amazon Elasticsearch Service are termed as shards. The shard count should be configured for better seamless operations. Also, there are basically two types of shards, primary shards and replica shards.

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AWS Kinesis Data Streams vs AWS Kinesis Data Firehose

Whizlabs

The Kinesis data stream is basically a collection of shards, with each shard featuring a sequence of data records. Users must employ manual configuration for shards to ensure proper provisioning of KDS. Data streams impose the burden of managing the scaling tasks manually through configuration of shards. Provisioning.

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MongoDB & PostgreSQL – The 5 Big Differences

Astera

Its key features include: Automatic sharding: MongoDB’s automatic shading feature allows for horizontal scaling of data across multiple servers. This enables efficient processing of large datasets, as each shard processes only the relevant portion of data for a query.