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Databases & Data Analytics
RDS
Amazon RDS is a fully managed relational database service that supports multiple database engines, including MySQL, PostgreSQL, SQL Server, and Aurora. It simplifies database administration tasks such as provisioning, backups, and scaling.
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Aurora
Amazon Aurora is a high-performance, fully managed relational database engine compatible with MySQL and PostgreSQL. It offers up to five times the performance of standard databases with automated backups and failovers.
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DynamoDB
Amazon DynamoDB is a fully managed NoSQL database that provides fast and predictable performance for key-value and document-based workloads. It is designed for applications requiring low-latency, high-throughput data access.
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Redshift
Amazon Redshift is a fully managed, petabyte-scale data warehouse that enables fast SQL-based queries for analytics workloads. It integrates with BI tools and supports machine learning-based optimizations.
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ElastiCache
Amazon ElastiCache provides in-memory caching services using Redis and Memcached, improving the performance of applications by reducing database load and latency.
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Glue
AWS Glue is a fully managed ETL (Extract, Transform, Load) service that simplifies data preparation and movement between different AWS data stores, making it easier to build data lakes and analytics pipelines.
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Athena
Amazon Athena is a serverless query service that allows users to analyze data stored in Amazon S3 using standard SQL, eliminating the need for complex ETL processes.
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Lake Formation
AWS Lake Formation is a service that simplifies the creation, security, and management of data lakes on AWS, providing centralized access controls and governance.
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Kinesis
Amazon Kinesis is a real-time data streaming service that enables businesses to collect, process, and analyze large-scale data in real time. It is ideal for use cases like real-time analytics, log processing, and event-driven applications.
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