Agenda

Date and TimeTitle
Apr 24, 2019
12:12pm - 12:43pm (Pacific)
Data Virtualization to Survive a Multi and Hybrid Cloud World

Hybrid cloud computing is slowing becoming the standard for businesses. The transition to hybrid can be challenging depending on the environment and the needs of the business. A successful move will involve using the right technology and seeking the right help. At the same time, multi-cloud strategies are on the rise. More enterprise organizations than ever before are analyzing their current technology portfolio and defining a cloud strategy that encompasses multiple cloud platforms to suit specific app workloads, and move those workloads as they see fit.

In this session, you will learn:

  • Key challenges of migration to the cloud in a complex data landscape
  • How data virtualization can help build a data driven, multi-location cloud architecture for real time integration
  • How customers are taking advantage of data virtualization to save time and costs with limited resources
Dec 3, 2020
10:07am - 10:08am (Pacific)
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Feb 23, 2021
3:20pm - 4:20pm (Pacific)
Test Livestream
Mar 23, 2021
1:00pm - 2:00pm (Pacific)
Group Meeting
Mar 23, 2021
3:30pm - 4:30pm (Pacific)
Staff Meeting
Feb 23, 2022
11:36am - 11:38am (Pacific)
Session 1: Getting to Know the Company

In this session, we will be introducing you to our most valuable aassets -- our staff! Come meet the CEO, CFO, CMO, and Vice President to learn more about how they got started. 

Mar 29, 2022
3:27pm - 3:31pm (Pacific)
Session 2: Company values and Mission

Learn more about the Company's values and how you can shape your career around them.

Jun 15, 2022
10:12am - 10:28am (Pacific)
Prologis: How Data Virtualization Enables Data Scientists

Data science requires vast amounts of data. And that too from multiple sources. Data virtualization integrates the data across these disparate sources and provides a unified view of the data to data science algorithms. With it, data scientists can deliver important answers to business questions that enable the business users to perform their functions efficiently.

In this session, you will learn:

  • The data science requirement at Prologis - cost optimization
  • How data virtualization can be used to support data science projects
  • Architectural setup with data virtualization feeding data science algorithms