AWS re:Invent 2024 - How Ford unlocked real-time insights using Apache Iceberg on AWS (AUT311)

In the era of connected vehicles, it’s crucial for automakers to use real-time, data-driven insights to enhance customer experiences and drive operational efficiencies. This session explores Ford’s collaboration with AWS to develop the Event Store, a key component of Ford’s Transportation Mobility Cloud (TMC). This platform processes 4 TB of real-time data daily from over 20 million vehicles, allowing insights around OTA updates, vehicle command and control, and telemetry. Ford’s strategic adoption of AWS services facilitated a petabyte-scale data lake using Apache Iceberg, improving data management and analysis and reducing SLAs by 50% while meeting low-latency requirements. Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4 About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster. #AWSreInvent #AWSreInvent2024

AWS re:Invent 2024 - Build and optimize a data lake on Amazon S3 (STG323)
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AWS re:Invent 2024 - Build and optimize a data lake on Amazon S3 (STG323)

AWS re:Invent 2024 - Innovations in AWS analytics: Data processing (ANT346)
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AWS re:Invent 2024 - Innovations in AWS analytics: Data processing (ANT346)

AI, DevOps, and Kubernetes: Kelsey Hightower on What’s Next
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AI, DevOps, and Kubernetes: Kelsey Hightower on What’s Next

AWS re:Invent 2024 - An insider’s look into architecture choices for Amazon DynamoDB (DAT419)
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AWS re:Invent 2024 - An insider’s look into architecture choices for Amazon DynamoDB (DAT419)

More Designs, Same Standards by Remi Denoyer , Lead Data Scientist, Behaviorally
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More Designs, Same Standards by Remi Denoyer , Lead Data Scientist, Behaviorally

Apache Hudi Vs Apache Iceberg! Apache Hudi and Iceberg Comparison!
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Apache Hudi Vs Apache Iceberg! Apache Hudi and Iceberg Comparison!

AWS re:Invent 2024 - How Gousto reduces food waste and increases workforce productivity (MFG202)
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AWS re:Invent 2024 - How Gousto reduces food waste and increases workforce productivity (MFG202)

AWS re:Invent 2024 - Real-world success: Unified architecture for analytics with Iceberg (AIM244)
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AWS re:Invent 2024 - Real-world success: Unified architecture for analytics with Iceberg (AIM244)

AWS re:Invent 2024 - CEO Keynote with Matt Garman
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AWS re:Invent 2024 - CEO Keynote with Matt Garman

Data Lake Fundamentals, Apache Iceberg and Parquet in 60 minutes on DataExpert.io
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Data Lake Fundamentals, Apache Iceberg and Parquet in 60 minutes on DataExpert.io

Apache Kafka Meets Apache Iceberg: Real-Time Data Streaming • Kasun Indrasiri • GOTO 2024
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Apache Kafka Meets Apache Iceberg: Real-Time Data Streaming • Kasun Indrasiri • GOTO 2024

AWS re:Invent 2024 - Never a slow news day: Transforming 24/7 news operations (MAE204)
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AWS re:Invent 2024 - Never a slow news day: Transforming 24/7 news operations (MAE204)

Intro to Amazon EMR - Big Data Tutorial using Spark
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Intro to Amazon EMR - Big Data Tutorial using Spark

AWS re:Invent 2024 - Reimagine business intelligence with generative AI (BSI101)
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AWS re:Invent 2024 - Reimagine business intelligence with generative AI (BSI101)

Apache Iceberg on AWS with S3 and Athena [FULL COURSE IN 30MIN]
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Apache Iceberg on AWS with S3 and Athena [FULL COURSE IN 30MIN]

AWS re:Invent 2024 - How US Foods successfully built and scaled a generative AI sales tool  (RCG203)
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AWS re:Invent 2024 - How US Foods successfully built and scaled a generative AI sales tool (RCG203)

AWS re:Invent 2024 - Building advanced workflows with AWS Step Functions (API402)
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AWS re:Invent 2024 - Building advanced workflows with AWS Step Functions (API402)

AWS Tutorials - Creating Glue Job with Apache Iceberg Table
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AWS Tutorials - Creating Glue Job with Apache Iceberg Table

Streaming from Apache Iceberg - Building Low-Latency and Cost-Effective Data Pipelines
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Streaming from Apache Iceberg - Building Low-Latency and Cost-Effective Data Pipelines

AWS re:Invent 2024-Zero-ETL replication to Amazon SageMaker Lakehouse & Amazon Redshift (ANT353-NEW)
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AWS re:Invent 2024-Zero-ETL replication to Amazon SageMaker Lakehouse & Amazon Redshift (ANT353-NEW)