Amazon Redshift Spectrum - Mastering Series скачать в хорошем качестве

Amazon Redshift Spectrum - Mastering Series

Welcome back to AWS Mastery Labs !!! As data lakes continue to grow in size and complexity, organizations increasingly need a powerful and efficient way to query data stored in Amazon S3—without having to load it into their data warehouse. Amazon Redshift Spectrum extends the analytic power of Amazon Redshift beyond its local storage, enabling you to directly query exabytes of data in open file formats like Parquet, ORC, Avro, CSV, and JSON—right from your Redshift cluster. In this advanced video of the “Mastering” series, we deep-dive into Redshift Spectrum’s architecture, performance tuning strategies, data lake integration patterns, and best practices. This session is ideal for data engineers, architects, and analysts who are looking to unlock the full potential of their S3 data lake using Redshift’s massively parallel processing (MPP) capabilities, without sacrificing speed or cost efficiency. ✅ What you’ll learn in this video: • What is Redshift Spectrum and how it fits into modern data lake architecture • How Redshift Spectrum queries S3 data directly using external schemas • Setting up external schemas and tables using AWS Glue Data Catalog • Understanding the role of partitions and optimizing them for performance • Choosing file formats for cost-efficient, high-performance queries • Best practices for data layout, compression, and statistics collection • Monitoring and tuning Redshift Spectrum queries for speed and cost 🔗 Helpful Resources: • Redshift Spectrum Overview: https://docs.aws.amazon.com/redshift/... • AWS Glue Integration: https://docs.aws.amazon.com/glue/late... • Redshift Spectrum Best Practices: https://docs.aws.amazon.com/redshift/... #AWSMasteryLabs #AmazonRedshift #RedshiftSpectrum #DataLakeArchitecture #BigDataAnalytics #S3Queries #AWSAnalytics #ServerlessQuery #AdvancedAWS #DataWarehouseIntegration #CloudDataEngineering