STG313 | Building and optimizing a data lake on Amazon S3

Data lakes are still a popular solution for organizations that want to make their data available to different classes of users. Amazon S3 does a lot of the heavy lifting in AWS data lakes, and it’s important to understand how you can use its features to build the right solution.

STG215 | Data protection and resilience with AWS storage

Security is of the utmost importance when you’re developing a data strategy. Before you deploy any resources, make sure you understand how to keep your data available and safe from prying eyes.

ANT205 | Curate your data at scale

You won’t make effective data-driven decisions if your data is irrelevant or inaccurate. Understanding how you can identify your most valuable data sources will allow you to draw useful insights.

TNC215 | Introduction to MLOps engineering on AWS

If you appreciate what DevOps best practices have done for software development, you might be interested in learning how those concepts have been applied to the development of ML models.

TNC219 | Understand your customers better with a modern data strategy

There are a number of key services that are involved in implementing a data strategy on AWS. It’s important to have an understanding of what those services are and be able to identify the ones that should be part of your own data strategy.

ANT202 | What’s new in Amazon DataZone

I’m especially excited about the Amazon DataZone feature set. It gets right to the heart of some of the major challenges organizations face when balancing compliance regulations with collaboration requirements.

AMZ201 | Analytics at Amazon scale: Amazon Shopping and Prime Video approaches

Understanding how data architectures affect our day-to-day lives—through products we know—is a great way to bring abstract technical concepts to life.

IMP204 | Purpose-built analytics and ML solutions to better serve communities

When applied in the nonprofit space, modern data strategies can be put to work to make an impact in our communities.

ANT206 | Modern data governance customer panel

AWS re:Invent makes it possible for you to take in a number of perspectives before trying out new technologies and concepts. Hearing from AWS customers who’ve implemented data governance could provide valuable insights into how your organization might do the same.

OPN309 | Building a secure and scalable transactional data lake

Transactional data lakes require a different blend of services and techniques than traditional data lakes. Learn which services you should consider when building a transactional data lake and how they can work together to help you make data-driven decisions quickly.

ANT304 | A pragmatic approach to data governance on AWS

Get hands-on experience with services you’ll see mentioned in most of the data-related sessions you’ll attend at re:Invent so you can feel more comfortable building out your own data governance strategy with those services.

SAS301 | SaaS and AI/ML: Inside a multi-tenant AI/ML solution

If you’re in SaaS, chances are you’re either supporting a new AI/ML feature or starting to build one. This workshop will expose you to multi-tenant strategies that might be relevant to your organization.