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Topic

Data Fusion

Google Cloud Data Fusion

data_integration etl google_cloud

4

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Activity Trend

1 peak/qtr
2020-Q1 2026-Q1

Activities

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Discover how to transition from legacy, siloed systems to a unified, scalable, and insights-driven data platform on GCP. This session will cover best practices for data migration, overcoming common challenges, and integrating SaaS and third-party solutions using key Google Cloud services like BigQuery, Data Fusion, Cloud Storage, Application Integration, Cloud Run, Cloud Build, and Artifact Registry.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

IHG Hotels & Resorts, managing 6,500+ hotels across 19 brands, faced data challenges amidst rapid growth. Cognizant & Google Cloud helped modernize their infrastructure. Using Data Fusion & migration tools, 320TB of data moved from Teradata to BigQuery, enabling scalability, security, and advanced analytics. This laid the foundation for IHG's future growth and empowers data-driven decision-making. Please note: seating is limited and on a first-come, first served basis; standing areas are available. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

DataFusion and Arrow: Supercharge Your Data Analytical Tool with a Rusty Query Engine

Learn how Rust, the Apache Arrow project, and the Data Fusion Query Engine are increasingly being used to accelerate the creation of modern data stacks.

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Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Ahmed Elsamadisi. Ahmed started his career at Cornell’s Autonomous Systems Laboratory focusing on human-robot interaction and Bayesian data fusion as well as building algorithms for autonomous cars. He then joined Raytheon to develop tactical AI algorithms for missile defense, four of which are still in use today by the US Military. Eventually he moved on to Raytheon’s Advanced Technology division to focus on building human exoskeletons--like the Iron Man suit but made of rubber because it’s way more energy efficient and not a fictional concept ignoring proper scientific practices-- and algorithms for adaptive decision making. In 2015 Ahmed joined We Work, and over the next two years Ahmed built We Work’s standard data infrastructure and grew its data team from one to forty Data Engineers and Data Analysts. After implementing a single time series table data model at We Work and seeing the immediate results, Ahmed wanted to figure out a way to bring this new found knowledge to the world. Ahmed founded Narrator to allow startups to leverage this new approach, ask questions, understand customer behavior, and analyze data across all their systems from a simple Universal Data Model.  Show Notes 3:26 – Tell us about algorithms for autonomous cars 6:26 – Anything you can say around missile defense? 8:58 – Tell us about human exoskeletons 13:18 – What kind of data were you using to make decisions around the Iron Man suit? 16:02 – What did you learn at We Work? 25:00 – How we answer a question in the world of Narrator 32:24 – Does Narrator sit between the application and the database? 33:28 – Walk us through a Use Case Website: Narrator AI.com Books:  The Power of Bad Never Split The Difference Ahmed Elsamadisi - LinkedIn    Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.