December 6, 2023

AWS Database Services – Amazon RDS, Aurora, DynamoDB, ElastiCache

AWS Database Services are Amazon’s fully managed and scalable database solution for your applications. Amazon provides a wide range of database options such as Amazon RDS, Aurora, DynamoDB, ElasticCache, and Redshift. In this blog, I will be covering various AWS database services including Amazon RDS; the first AWS database offering. We will also cover basic features, overview, and use cases for each of these services.

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Amazon DynamoDB: Fast And Scalable NoSQL Database

Amazon DynamoDB which provides fast and predictable performance with seamless scalability. Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It’s a fully managed, multi-region, multi-active, durable database with built-in security, backup and restores, and in-memory caching for internet-scale applications. In this blog, we are going to cover one of the important Database Services offered by AWS i.e.

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Amazon RDS: Introduction and Tutorial

Amazon RDS is a Relational Database Service by Amazon Web Services. A relational database is a type of database that stores data in tables with rows and columns. Amazon RDS provides an industry-standard relational database that is cost-efficient with resizable capacity. It gives users solutions for easier setup, operation, and scale of a relational database in the cloud. In this blog, we will cover everything you need to know about Amazon RDS, Amazon RDS Pricing, and a step-by-step tutorial to create a Relational Database on AWS.

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Optimizing Data Query Processing and Storage – Redshift vs. Redshift Spectrum

Amazon Redshift has been undergoing several enhancements since 2013. One of the critical aspects of this endeavor was moving data to the “Serverless” Amazon Redshift Spectrum. This data storage solution has a massively-scalable feature, with a serverless query processing engine to allow joining data, that sits in Amazon S3 with data in Amazon Redshift. In this blog, we’ll give you insights on the tactful techniques to gather and process large data columns for better decision-making.

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