Overview
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Discover Amazon S3 Tables and how they revolutionize managing tabular data at scale in this comprehensive 30-minute webinar. Explore the architecture built on Apache Iceberg support that enables seamless storage and querying across multiple analytics engines including Athena, Redshift, EMR, and Apache Spark. Learn about key use cases for streaming data ingestion and understand how S3 Tables deliver improved performance, enhanced security, and optimized cost management for modern data lakes. Gain insights into essential best practices for optimization, automatic table maintenance using bin-pack compaction methods, and discover partner integrations that streamline data workflows. Master techniques for real-time analytics with low latency, cost-effective storage optimization through background compaction, and seamless integration with tools like Amazon Kinesis, Apache Pulsar, and AWS Glue Catalog. Understand smart partitioning strategies, snapshot management, and tuning for concurrent commits to maximize performance and cost efficiency in your data architecture while leveraging the full potential of Apache Iceberg's transactional consistency and REST catalog specifications.
Syllabus
Amazon S3 Tables: Architecture, use cases, and integrations
Taught by
StreamNative