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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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Why Oracle Thinks PostgreSQL Isn’t Enough
Oracle has announced the general availability of its Oracle Globally Distributed Exadata Database on Exascale Infrastructure. This new architecture is geared for new-generation agentic AI use cases that need to scale rapidly and unpredictably, said Wei Hu, senior vice president, high availability technologies, Oracle.
Managing Remote Database Connections from Quarto Documents | R-bloggers
R offers excellent facilities for working interactively with SQL databases on a remote server. It becomes more challenging to do so in a self-contained Quarto document, especially if you wish to be able to render it without running into errors. F...
Scaling transaction peaks: Juspay’s approach using Amazon ElastiCache | AWS Database Blog
Juspay powers global enterprises by streamlining payment process orchestration, enhancing security, reducing fraud, and providing seamless customer experiences. In this post, we walk you through how Juspay transformed their payment processing architecture to handle transaction peaks. Using Amazon ElastiCache and Amazon RDS for MySQL, Juspay built a system that processes 7.6 million transactions per hour during peak events, achieves sub-millisecond latency, and reduces infrastructure costs by 80% compared to their previous solution.
How Wiz achieved near-zero downtime for Amazon Aurora PostgreSQL major version upgrades at scale using Aurora Blue/Green Deployments | AWS Database Blog
Wiz, a leading cloud security company, identifies and removes risks across major cloud platforms. Our agent-less scanner processes tens of billions of daily cloud resource metadata entries. This demands high-performance, low-latency processing, making our Amazon Aurora PostgreSQL-Compatible Edition database, serving hundreds of microservices at scale, a critical component of our architecture. In this post, we share how we upgraded our Aurora PostgreSQL database from version 14 to 16 with near-zero downtime using Amazon Aurora Blue/Green Deployments.