Amazon Web Services (AWS)
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AWS Elastic Compute Cloud (EC2) is a web service that provides resizable compute capacity in the cloud, making web-scale computing easier for developers.
Run code without thinking about servers. Pay for only the compute time you consume.
Amazon Simple Storage Service (S3) is storage for the Internet. A simple web services interface used to store and retrieve any amount of data, at any time, from anywhere on the web.
Amazon Relational Database Service (RDS) is a web service that makes it easy to set up, operate, and scale a relational DB in the cloud: Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server.
Amazon Chime is a secure, real-time, unified communications service that transforms meetings by making them more efficient and easier to conduct. The service delivers high-quality audio and video through an application that is easy to use and stays in sync across all devices.
Amazon QuickSight is a cloud-based business intelligence (BI) service that help employees to build visualizations, perform ad-hoc analysis, and quickly get business insights from their data.
Nonrelational database for applications that need performance at any scale
Amazon Aurora is a fully managed relational database service that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Compatible with MySQL and PostgreSQL, Aurora delivers up to five times the throughput of standard MySQL databases and up to three times that of standard PostgreSQL databases. It is designed for high availability, offering up to 99.99% availability within a single region and up to 99.999% across multiple regions. Aurora's architecture includes a distributed, fault-tolerant storage system that automatically scales up to 128 tebibytes, ensuring continuous data access and durability. Additionally, Aurora provides serverless configurations, allowing automatic scaling based on application needs, and integrates seamlessly with other AWS services for machine learning and analytics. Key Features and Functionality: - High Performance: Delivers up to five times the throughput of MySQL and three times that of PostgreSQL, enabling efficient handling of demanding workloads. - High Availability: Designed for up to 99.99% availability within a single region and up to 99.999% across multiple regions, ensuring continuous data access. - Scalability: Automatically scales storage up to 128 tebibytes and supports up to 15 read replicas for read-intensive applications. - Serverless Configuration: Offers Aurora Serverless, which automatically adjusts capacity based on application demand, eliminating the need for manual provisioning. - Machine Learning Integration: Integrates with Amazon SageMaker and Amazon Comprehend, allowing for in-database machine learning capabilities without data movement. - Security: Provides multiple layers of security, including network isolation, encryption at rest and in transit, and compliance with various industry standards. Primary Value and Solutions Provided: Amazon Aurora addresses the need for a high-performance, highly available, and scalable relational database service that is cost-effective and easy to manage. By offering compatibility with MySQL and PostgreSQL, it allows organizations to migrate existing applications without significant code changes. Aurora's automatic scaling and serverless options cater to applications with variable workloads, reducing operational overhead and costs. Its integration with AWS machine learning services enables real-time analytics and predictive capabilities directly within the database, enhancing application functionality. Overall, Aurora simplifies database management while delivering enterprise-grade performance and reliability.
Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools.
Amazon Web Services (AWS) Reviews
Caleb F.
Data Analyst | BigQuery, SQL, Python | Looker Studio, Looker, Power BI, Tableau | Industrial EngineerAWS Lambda simplifies automation and the execution of serverless logic
Caleb F.
Data Analyst | BigQuery, SQL, Python | Looker Studio, Looker, Power BI, Tableau | Industrial EngineerVisual and traceable orchestration for complex flows in AWS
Caleb F.
Data Analyst | BigQuery, SQL, Python | Looker Studio, Looker, Power BI, Tableau | Industrial EngineerAWS Glue: Scalable and automated ETL with seamless integration into the AWS ecosystem
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What is Amazon Web Services (AWS)?
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