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SQL is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS). It is particularly useful for handling structured data, i.e. data incorporating relations among entities and variables. SQL offers both a data definition language (DDL) and a data manipulation language (DML). The scope of SQL includes data insert, query, update and delete, schema creation and modification, and data access control.
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Choosing the right approach for generative AI-powered structured data retrieval | Artificial Intelligence
In this post, we explore five different patterns for implementing LLM-powered structured data query capabilities in AWS, including direct conversational interfaces, BI tool enhancements, and custom text-to-SQL solutions.
Fluent Commerce’s approach to near-zero downtime Amazon Aurora PostgreSQL upgrade at 32 TB scale using snapshots and AWS DMS ongoing replication | AWS Database Blog
Fluent Commerce, an omnichannel commerce platform, offers order management solutions that enable businesses to deliver seamless shopping experiences across various channels. Fluent uses Amazon Aurora PostgreSQL-Compatible Edition as its high-performance OLTP database engine to process their customers’ intricate search queries efficiently. Fluent Commerce strategically combined AWS-based upgrade approaches—including snapshot restores and AWS DMS ongoing replication—to seamlessly upgrade their 32 TB Aurora PostgreSQL databases with minimal downtime. In this post, we explore a pragmatic and cost-effective approach to achieve near-zero downtime during database upgrades. We explore the method of using the snapshot and restore method followed by continuous replication using AWS DMS.
Accelerate SQL Server to Amazon Aurora migrations with a customizable solution | AWS Database Blog
Migrating from SQL Server to Amazon Aurora can significantly reduce database licensing costs and modernize your data infrastructure. To accelerate your migration journey, we have developed a migration solution that offers ease and flexibility. You can use this migration accelerator to achieve fast data migration and minimum downtime while customizing it to meet your specific business requirements. In this post, we showcase the core features of the migration accelerator, demonstrated through a complex use case of consolidating 32 SQL Server databases into a single Amazon Aurora instance with near-zero downtime, while addressing technical debt through refactoring.