Webinar: New Models of Data Processing in Amazon Web Services

WEBINAR: NEW MODELS OF DATA PROCESSING ON AMAZON WEB SERVICES (AWS)

Past approaches to data processing included expensive data warehouses, fragile ETL processes, and expensive BI tools for analysis. 

Join us for a live webinar on Thursday, April 25th at 1:00 PM ET to learn how to leverage modern, cloud-native approaches to data ingestion and analysis to improve performance, lower cost, and gain deeper insights. 

WEBINAR DETAILS

  • When: April 25th, 1:00 PM ET
  • Who: Dan Greene, Director of Cloud Services at 3Pillar Global and Dave Rocamora, Solutions Architect at Amazon Web Services 
  • What's it all about? The key components of data processing, and comparisons between the old, the not-so-old, and the latest data processing models available on AWS.
  • Who should attend? Cloud, technology, and product professionals looking to understand the latest best practices for cost effective data ingestion and analysis.

This webinar begins in...

-
Days
-
Hours
-
Minutes
-
Seconds

MEET THE PRESENTERS

Dan Greene is the Director of Cloud Services at 3Pillar Global. Dan is an AWS Certified Solution Architect and has more than 20 years of software design and development experience, with software and product architecture experience in eCommerce, B2B integration, Geospatial Analysis, SOA architecture, Big Data, and Cloud Computing.

Dave Rocamora is a Solutions Architect at Amazon Web Services. For the last 4+ years, he has worked with teams of Solutions Architects that help AWS customers build cloud-based products the world needs and notices. 

DURING THIS FREE WEBINAR, YOU WILL LEARN:

  • The key components of data processing: The four parts of data processing – Source Data; Extract, Transform, Load (ETL); Analytical Store; and Analysis Engine.


  • The differences between the old school and the latest models of data processing. Pros and cons of both the old school (from warehouses and cubes to data lakes) and the latest models of data processing in the cloud. 


  • Real world examples of the latest models of data processing: Learn from our own experiences of real client engagements working on Amazon Web Services, issues faced, and how we tackled them.