Week 2 is starting soon so here are my picks of the data related sessions.
- Machine Learning Keynote
- Using Amazon QLDB as a system-of-trust database for core business apps
- Get started with Amazon SageMaker in minutes
- What’s new in Amazon RDS for SQL Server
- Fast distributed training and near-linear scaling with PyTorch on AWS
- Building a successful inventory planning solution with Amazon Forecast
- Get deep insights about your ML models during training
- Amazon Aurora Serverless v2: Instant scaling for demanding workloads
- Paving the way toward automated driving with BMW Group
- Migrating databases to Amazon DocumentDB (with MongoDB compatibility)
- Train large models with billions of parameters in TensorFlow 2.0
- How New Relic is migrating its Apache Kafka cluster to Amazon MSK
- Deliver viewing experiences for super fans with Amazon Personalize
- Running Apache Cassandra workloads with Amazon Keyspaces
- Harness the power of data with AWS analytics
- What’s new with Amazon Redshift
- Power modern serverless applications with GraphQL and AWS AppSync
- How Amazon Redshift powers large-scale analytics for Amazon.com
- New use cases for Amazon Redshift
- Beyond AWS DMS: Programs and partners to ace your migration
- Amazon.com’s use of AI/ML to enhance the customer experience
- Migrating a legacy data warehouse to Amazon Redshift
- What’s new with Amazon EMR
- Choose the right machine learning algorithm in Amazon SageMaker
- Understanding AWS Lambda streaming events
- Infrastructure Keynote (ok not strictly data services but it's always interesting to see the scale of what is powering them)
- Serverless data preparation with AWS Glue
- Deep dive on Amazon Aurora with MySQL compatibility
- Under the hood: How Amazon uses AWS for analytics at petabyte scale
- Building real-time applications using Apache Flink
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