Optimizing Your S3 Data Lakehouse Architecture with Starburst Galaxy
Blog post from Starburst
Optimizing a data lakehouse architecture with Starburst Galaxy on AWS enhances data management by combining the strengths of data lakes and data warehouses, ensuring efficient data handling and improved performance. Starburst Galaxy provides flexibility in query execution, supports modern data formats like Apache Iceberg, Delta Lake, and Hudi, and integrates seamlessly with AWS services, which helps address the challenges of managing raw data in traditional data lakes. By utilizing open table formats, implementing detailed security controls, and building a structured reporting system, organizations can efficiently manage the data lifecycle from raw input to analysis-ready information. This approach allows for more effective data access and role customization, and facilitates the migration of queries from Amazon Athena to Starburst Galaxy, ultimately maximizing the potential of an AWS data lakehouse.