Indeed's petabyte-scale data lake modernization with Amazon S3 Tables | Amazon Web Services

In this video, learn how Indeed adopted Amazon S3 Tables with Apache Iceberg to eliminate data silos, reduce infrastructure overhead, and unlock data access across the organization so every team can draw better insights and help job seekers and employers find matches. Key highlights: 100% migration from hybrid cloud to AWS 10% annual cost savings on data lake 1,000+ developer hours saved each year Improved data interoperability using Apache Iceberg open table format Learn more: AWS for Data: https://go.aws/data Amazon S3 Tables: https://go.aws/s3-tables Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.aws/free Connect with an expert: https://go.aws/contact Explore more: https://go.aws/more Next steps: Explore on AWS in Analyst Research: https://go.aws/reports Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace Join the AWS Partner Network: https://go.aws/partners Learn more on how Amazon builds and operates software: https://go.aws/library Do you have technical AWS questions? Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb Why AWS? Amazon Web Services is the world’s most comprehensive and broadly adopted cloud, enabling customers to build anything they can imagine. We offer the greatest choice of innovative cloud capabilities and expertise, on the most extensive global infrastructure with industry-leading security, reliability, and performance. #AWS #Indeed #DataAnalytics #ApacheIceberg #S3Tables #CloudMigration #CustomerStory