Dear Customer,

 

The Informatica Global Customer Support Team is excited to announce an all-new technical webinar and demo series – Tech Tuesdays, in partnership with our Product Experts. These technical sessions are designed to encourage interaction and knowledge gathering around some of our latest innovations and capabilities across Informatica products. In these sessions, we will strive to provide you with as many technical details as possible, including new features and functionalities, and where relevant, show you a demo or product walk-through as well.

 

Topic and Agenda

 

Topic:  Informatica Power Exchange for Snowflake – Introduction, Features and Demo

Date & Time: Dec 17th, 2019, 8:00 AM Pacific Time (US and Canada)

Duration: 1 Hour

Webinar Registration Link: https://informatica-events.zoom.us/webinar/register/WN_Uhakc9sZTIWkWE_zNAUDvA

 

Here is the agenda for the webinar:

 

  • Overview of PowerExchange for Snowflake
  • Installation/Configuration
  • Sources/targets
  • Snowflake Lookups
  • Mappings/Sessions
  • SQL Overrides
  • Tips/Tuning
  • PDO
  • Demo
  • Q/A

This session is intended as an introduction to the Informatica PowerExchange for Snowflake adapter for PowerCenter. At the end of this session, you will have an understanding of the PowerExchange for Snowflake adapter architecture and features for the PowerCenter platform,  as well as the recommended runtime configurations, and troubleshooting of common issues.

Speaker Details

Raveender

Raveender is a staff engineer / SME in the Global Customer Support organization at Redwood City CA. He has over 12 years of experience with the Informatica platform and has worked extensively in the B2B, Realtime, and PWX Adapters for Cloud Ecosystems technology areas.

Uma Chalasani

Uma is a lead engineer in the Global Customer Support organization at Austin, Texas. He has over 9 years of experience with the Informatica platform and is a specialist in the PWX Adapters for Cloud Ecosystem technologies such as Salesforce, Snowflake, Azure, Redshift, and Google BigQuery.