Revolutionize your data analysis with a powerful new capability now widely available for your database. This feature, known as DSQL, allows you to break down data silos and query information directly where it resides, specifically in Amazon S3, using familiar SQL syntax.
Traditionally, accessing and analyzing data stored outside your primary database, like in data lakes on S3, required complex processes. You’d typically need to extract, transform, and load (ETL) that data into your database or use separate analytical engines. This adds layers of complexity, cost, and latency, making it harder to get timely insights.
DSQL for Amazon Aurora changes this paradigm entirely. It enables your database to directly query data files stored in S3 buckets, supporting popular formats such as Parquet and ORC. This means you can run analytical queries that combine data from your Aurora tables with vast datasets stored cost-effectively in S3, all within a single SQL statement.
The benefits are substantial. First and foremost is Simplicity. You eliminate the need for many ETL jobs just to move data for analysis. You can query data in place, simplifying your data architecture significantly. This leads to Faster insights, as you bypass data movement steps and leverage the processing power of your Aurora cluster directly on external data. It can also be significantly more Cost-effective, reducing data ingestion costs and storage duplication within your database.
This capability is now Generally Available, making it ready for production workloads and fully supported by AWS. It integrates seamlessly with your existing Aurora PostgreSQL-compatible and MySQL-compatible databases (depending on version compatibility), offering a powerful extension to your analytical toolkit.
With DSQL, you can easily query historical archives, large log files, or data generated by other systems stored in S3, joining it with operational data in your Aurora database for comprehensive analysis and reporting. This represents a major step forward in making your data more accessible and actionable, empowering you to unlock value faster and more efficiently. Explore how this new feature can transform your data analysis workflows.
Source: https://aws.amazon.com/blogs/aws/amazon-aurora-dsql-is-now-generally-available/
