Swami Sivasubramanian’s Keynote at AWS re:Invent 2021
AWS re:Invent is always THE event in cloud. Swami Sivasubramanian took the stage to deliver the machine learning focused keynote on day three.
This is the Twitter thread of my coverage of the keynote…
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it’s a journey and it’s critical to use the right tool at the right time
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2. unify => take the data lake approach
3. innovate => create new experiences & draw new insights
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Managing infrastructure, that’s so 90’s
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more on Aurora at https://t.co/8QVWyGjjjR
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GA today
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more on the service at https://t.co/EPCeIcH6rf
<< the announcement today was that it now supports SQL Server as well. GA today
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please?
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can’t wait to hear @alexbdebrie’s thoughts
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it’s a life saver
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more on that at https://t.co/MqGU3Dl0xJ
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don’t do that
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more on Athena at https://t.co/mZ43E2kUxc
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interactive => Athena
big data => EMR
ops & logs => OpenSearch
real-time => Kinesis & MSK
warehouse => Redshift
(roughly)
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the #serverless announcement yesterday will open it up to a whole new audience
more on that at https://t.co/IhHDSxhYZS
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to be fair, 99% of ML is data clean up, organization, and management
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that’s amazing powerful and something we don’t consider often enough
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my favourite AWS name, “AWS Glue Data Brew” << it’s true, you can use it too
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first the informercial “on-premises” view
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more on the sharing features at https://t.co/wtTwWCuJU2
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that’s the goal of the @awscloud Well-Architected Framework & these types of services make it way easier to strike that balance
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quick message from @slack now…
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basically, you want to start at the top layer & stay there as long as possible.
when necessary, move to the SageMaker layer
…hope you never need the bottom layer
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super interesting from a math/engineering perspective but also, quite a ways away from business value
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(though SageMaker is amazing)
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just hand the service something and get a result…
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they do self-driving vehicle tech
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this is just an ad for the fact they are working on the tech. I wanted more
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unstructured data is far more common
SageMaker has features to help with both
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more at https://t.co/pNpwc746kf
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GA today
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- Amazon SageMaker Training Compiler << 50% speed boost for training
- …Inference Recommender << reduce time to deploy
- … #Serverless Inference << f—k infrastructure
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should be the default for everything…
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3 steps:
- access & browse the data
- prepare the data
- train & build the model
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…slick
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can’t wait to find out!
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that’s actually kind of cool. the @awscloud has grown to the point where there’s entire categories you’ll never touch as a builder
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sign up with an email address and start learning!
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goes hand-in-hand with the D2L textbook: https://d2l.ai/
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