#AWS announced 2 new capabilities for #S3Tables!

🔹 Intelligent-Tiering storage class that automatically optimizes costs based on access patterns
🔹 Replication support that keeps #ApacheIceberg table replicas consistent across AWS regions and accounts.
Find out more: bit.ly/455DIV5

#InfoQ

Streamlining access to tabular datasets stored in Amazon S3 Tables with DuckDB | Amazon Web Services As businesses continue to rely on data-driven decision-making, there’s an increasing demand for tools that streamline and accelerate the process of data analysis. Efficiency and simplicity in application architecture can serve as a competitive edge when driving high-stakes decisions. Developers are seeking lightweight, flexible tools that seamlessly integrate with their existing application stack, specifically solutions […]

Streamlining access to tabular datasets stored in Amazon S3 Tables with DuckDB | AWS Storage Blog

aws.amazon.com/blogs/storage/streamlini...

#DuckDB #AWS #S3 #S3Tables #ApacheIceberg #DataAnalysis

DUCKDB, S3 Tables with iceberg using Iceberg Rest API I wrote my previous article about Duckberg, a combination of PyIceberg with Duckdb to access iceberg...

✍️ New blog post by Jacob

DUCKDB, S3 Tables with iceberg using Iceberg Rest API

#duckdb #s3tables #iceberg

AntStack TV | Episode 7 | Rahul Kumar Breaks Down AWS re:Invent’s Biggest Data Engineering Reveals Welcome to another insightful episode of AntStack TV! Join Rahul Kumar as he breaks down the biggest AWS re:Invent 2024 announcements, with a special focus on data engineering, cloud modernization, and serverless innovations. Key Highlights from AWS re:Invent 2024: 🔵 Amazon S3 Enhancements – Improved data integrity, rich metadata, and S3 tables optimized for big data. 🔵 AWS SageMaker Lake House – A unified approach to data lakes and data warehouses with zero-ETL integrations. 🔵 DynamoDB Updates – Strongly consistent global tables and zero-ETL integration with SageMaker Lake House. 🔵 AWS Glue 5.0 – 30% faster data processing and cost reductions for big data workloads. 🔵 Redshift Upgrades – Kafka ingestion, expanded query limits, and cross-cloud integrations. 🔵 Aurora DSQL – AWS’s distributed SQL solution for multi-region applications. 🔵 GenAI in AWS Services – QuickSight AI-driven BI, GAI-powered schema conversion in AWS DMS, and more. Why Watch? Whether you're a cloud architect, data engineer, or a tech enthusiast, this episode covers everything you need to stay ahead in the AWS ecosystem. 🔔 Subscribe to AntStack TV for expert insights, AWS deep dives, and discussions on serverless, cloud computing, and AI-driven architectures. 💬 Drop your thoughts in the comments! What AWS re:Invent update excites you the most? Contact us for starting your serverless journey: https://www.antstack.com/build-with-us/?utm_source=youtube&utm_medium=description&utm_campaign=ytConverstion 0:00 - Introduction to AntStack TV 0:10 - Overview of AWS re:Invent 2024 announcements 0:30 - Amazon S3 Tables: Optimized buckets for open table formats 1:00 - Performance benefits: 10x read and write speeds in S3 tables 1:35 - Managing Apache Iceberg tables seamlessly with S3 2:20 - SageMaker Lake House: Unified data lakes and warehouses 3:00 - Zero-ETL integrations: DynamoDB to SageMaker Lake House 3:40 - Zero-ETL for CloudWatch and OpenSearch 4:15 - CloudWatch Insights: Seamless OpenSearch integration 5:00 - Pre-built dashboards for VPC Flow Logs, WAF, and CloudTrail 5:35 - AWS DMS upgrade: GenAI-powered schema conversion 6:10 - AWS Glue 5.0: 30% faster data processing and lower costs 6:40 - DynamoDB Global Tables: Now strongly consistent 7:10 - Redshift upgrades: Increased query limits and Kafka ingestion 7:45 - AWS Clean Rooms: Expanded cross-cloud data sharing 8:15 - QuickSight AI: GenAI-powered business intelligence 8:50 - Aurora DSQL: AWS’s take on distributed SQL for multi-region apps 9:30 - Multi-region active-active replication for databases 10:00 - PostgreSQL compatibility and future roadmap for Aurora DSQL 10:30 - Recap of AWS re:Invent 2024 highlights 11:00 - Closing thoughts and community engagement Website: https://www.antstack.com/ LinkedIn: https://linkedin.com/company/antstackio Behance: https://behance.net/antstack Twitter/X: https://twitter.com/antstack Instagram: https://instagram.com/lifeatantstack #AWSreInvent #AWS #Serverless #DataEngineering #CloudComputing #BigData #DynamoDB #AmazonS3 #AuroraDSQL #ZeroETL #Redshift #AI #Modernization #TechTalk [AWS re:Invent 2024, Amazon S3 updates, AWS serverless, data engineering in AWS, AWS cloud computing, AWS modernization, DynamoDB global tables, S3 tables, S3 rich metadata, AWS Glue 5.0, Redshift Kafka ingestion, Aurora DSQL, distributed SQL on AWS, zero-ETL integrations, AWS SageMaker Lake House, serverless data processing, cloud-native databases, AI in AWS, QuickSight AI, AWS schema conversion, AWS data lakes, AWS BI tools, AWS innovations, scalable cloud solutions, enterprise cloud architecture]

𝟭𝟬𝗫 𝗙𝗮𝘀𝘁𝗲𝗿 𝗦𝟯 𝗕𝘂𝗰𝗸𝗲𝘁𝘀? 𝗬𝗲𝘀, 𝗣𝗹𝗲𝗮𝘀𝗲!
S3 Tables handle performance, scaling & cleanup, no EMR needed!

Rahul Kumar explains. More AWS re:Invent 2024 insights?

𝗪𝗮𝘁𝗰𝗵 𝗻𝗼𝘄: bit.ly/4jPLFn9

#AWS #S3Tables #reinvent2024 #Serverless #AntStack