![]() (It just rolls off the tongue.) This service connects companies with data-labeling professionals for a wide variety of data types. Next, AWS realized that labeling data is a massive bottleneck for most of their customers so theyĪnnounced Amazon SageMaker Ground Truth Plus. ![]() During the CEO keynote,ĪWS announced that the new Trn1 instances that use this chip are now available in preview. ![]() A vital part of this is the Trainium chip. Speaking of model training, AWS covered in great detail how they are improving the training speed for With this, we now have one place for all of the data prepĪnalytics model training and optimization that we could ever want. We also learned about an update to Sagemaker Studio Notebook which enables users to integrate EMR Sagemaker Studio Notebook add EMR support Will need to tell the service what you want to predict, but the service will try to automatically select theīut wait there’s more! We can easily shuffle all that work over to Sagemaker Studio and data scienceĬolleagues can then refine the model from there. Users can bring their own data or leverage existing data services like S3. This visual tool gives people who are not data science experts the ability to get actionable insights Sagemaker Canvas is a perfect example of how AWS is continuing to make machine learning even Working to demystify machine learning and open it up to a wider audience. There was no shortage of machine learning news out of re:Invent. Head over to the A Cloud Guru blog for a more detailed hands-on look at S3 Glacier Instant Retrieval and which S3 Storage Class is right for you. Tiering to make it seamless to transition your objects to the correct storage class. The best part of this is that it integrates with Intelligent Amazon S3 Glacier Instant Retrievalįinally, we have a new archive storage class in Amazon S3 Glacier Instant Retrieval, which provides access in milliseconds to your archived objects. So if you have specific requirements for your SQL Server applications that weren’t possible in RDS previously, you should check this out. Amazon RDS Custom for SQL ServerĪmazon is making it possible to bring even more SQL Server workloads into the cloud with Amazon You can seamlessly switch the table class at any point. One of the great things about this is that you don’t have to migrate your data to a new table to takeĪdvantage of this. Infrequent access table class, resulting in up to 60% savings over the standard table class. DynamoDB infrequent access table classĪnother big announcement in this space is one that affects DynamoDB users: there’s now an The three serverless offerings are all in public preview, but the on-demand option for Kinesis Data However, you no longer have to worry about managing the infrastructure. Since this is on demand you don’t quite get all the benefits of serverless as you’ll have to pay a baseĬost whether you use it or not. In addition to these serverless options, we now have an on-demand version of Kinesis Data Streams. We now have serverless versions of Elastic Map Reduce (or EMR), Redshift, and Managed Streaming for Kafka (or MSK). Several critical services around data analytics. The big announcement in this category was that there are now serverless and on-demand versions of The work you have to do to maintain the infrastructure. Over and over again was AWS making it even easier to process large amounts of data while reducing Storage, data, and analytics newsĭata was a key focus of the announcements at re:Invent 2021. Here’s our rundown of the most exciting news from AWS re:Invent 2021. If you missed the event or are looking for a recap of the highlights from the flood of announcements, The week had all the energy you would expect from re:invent, which hasn’t been held in Gathered in person (and virtually) for a handful of keynotes, hundreds of sessions, and a bit of It was an action-packed time in Las Vegas last week for AWS re:Invent 2021.
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