Elevate Your Data Exploration with AWS



With the rapidly changing tech landscape, navigating your path can be daunting. Come learn new skills and connect with others on a similar journey.


Join Slalom, Amazon Web Services (AWS), Women in Analytics and Women in Big Data (Wisconsin Chapter) at our upcoming event of learning, discussion and connecting with others in the data & analytics landscape. Details on this free event are below!



When: Wednesday, October 21st | 11:00AM - 12:50PM EST

Where: Zoom platform (details will be sent out once registered for event)

Who should attend: This free workshop is open to all genders across all platforms and technologies.

  • IT Leaders looking to bring business value to cloud transformations
  • Solutions Architects, Developers, Technical Managers and Decision Makers who want to understand the fundamentals or deep dive into the data & analytics of AWS platforms
  • Data Scientists, Architects, and Analysts looking to accelerate their data knowledge



  • 11AM - 11:15AM - Intros & Welcome
  • 11:15AM - 12:00PM - Breakout sessions begin with AWS
    • Track 1: Introduction to Big Data & Analytics in AWS
      • Learn about the fundamentals of data lakes in AWS and options for ingesting and analyzing that data, including AWS services such as Amazon S3 (Simple Storage Service) and AWS Glue.
    • Track 2: Deep Dive on Big Data & Analytics Capabilities in AWS
      • ​​​​​​​An in-depth learning session on Analytics offerings within AWS such as Amazon EMR (Elastic Map Reduce) and Amazon Redshift.
  • 12:00PM - Panel discussion around data & analytics key trends, career paths, mentorships and fueling innovation at your organizations. 
  • 12:35PM - Closing


AWS HANDS-ON LAB (after the event for 60mins & optional):


AWS Lake Formation Workshop gives you the opportunity to explore using AWS Lake Formation to build, secure and manage data lakes on AWS. These hands-on labs are designed to be self-paced and allow you to explore some common topics encountered and AWS services used when setting up a Data Lake.


 The workshop is divided into three sections:

  •  Beginner: AWS Glue Data Catalog & AWS Glue ETL
  • Intermediate: Databases, Permissions, & Querying the Data Lake
  • Advanced: Integration with Amazon EMR & Handling Real-Time Data


Please register below

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Choose the breakout session you would like to attend during this event.