From SAP to AI: Building Your Data Foundation with Fivetran and Snowflake on AWS

From SAP to AI

AI is only as good as the data behind it. For most enterprises, the most critical data sits in SAP ECC, S/4HANA or RISE. It is often hard to reach and hard to combine with CRM, e-commerce and operational data.

At this session, AWS, Metrodata and Fivetran will show you a proven path:

Extract: Fivetran replicates SAP data with fully managed, automated pipelines. No custom code, no middleware.

Store and scale: Snowflake on AWS gives you one governed, secure platform for all your data.

Activate: Use that data for forecasting, inventory optimisation, customer insights and generative AI.

Why Attend

See SAP extraction in action. Fivetran connects at the SAP application layer, so SAP keeps managing authorisation and access.

Protect your SAP performance. Change capture uses change pointers and table triggers. It also compresses data in transit to keep the load on your production system low.

Cover your full SAP landscape. Fivetran supports ECC, S/4HANA and RISE with SAP, including CDS views, long texts and SAP date conversion.

Meet enterprise security standards. Connect over VPN, SSH, AWS PrivateLink or SAP SNC. Hybrid deployment keeps data processing inside your own environment.

Learn from a peer. Hear how a customer moved its SAP data to Snowflake on AWS, and what results it saw.

Who Should Attend

Heads of Data and Analytics

Data engineers, data architects and analytics leads

BI and reporting teams

SAP teams: Basis, SAP data and SAP functional leads

Agenda

12:00 - 13:30: Registration & Networking Lunch

13:30 - 13:45 : Opening Remarks by AWS

13:45 - 14:45: [Fivetran] Unlocking SAP Data for AI: Automated, Secure Extraction into Snowflake

14:45-15:00: Coffee Break

15:00 - 16:00: [Metrodata] Beyond Reporting: Combining SAP and Non-SAP Data in Snowflake for Enterprise AI

16:00 - 16:30: Customer Story

16:30-16:45: Q&A

16:45 - 17:00: Closing & Networking

[Fivetran] Unlocking SAP Data for AI: Automated, Secure Extraction into Snowflake

Speaker: Lee Kai Yu, Principal Solutions Architect

Getting data out of SAP is often the hardest step in any analytics or AI project. Custom extraction scripts break. Middleware adds cost and complexity. Heavy queries slow down production systems.

This session shows how Fivetran solves this. You'll learn how Fivetran:

Connects to SAP ECC, S/4HANA and RISE at the application layer, with SAP keeping control of authorisation.

Captures changes using change pointers and table triggers, which keeps the load on your SAP system low.

Handles complex SAP structures, such as CDS views, long texts and SAP date formats, automatically.

Runs securely over AWS PrivateLink, VPN or SAP SNC, with a hybrid deployment option that keeps processing inside your environment.

Combines SAP data with 700+ other sources in Snowflake, fully managed with a 99.9% uptime SLA.

You'll leave with a clear picture of how to go from SAP to an AI-ready data foundation in days, not months.

[Metrodata] Beyond Reporting: Combining SAP and Non-SAP Data in Snowflake for Enterprise AI

Speaker: Arif Nanda Atmavidya, Data & AI Division Manager

Once your SAP data is in Snowflake, what comes next? This session shows how SAP customers combine finance, supply chain and sales data from SAP with CRM, e-commerce and operational data in one governed platform on AWS. You'll see real use cases, such as demand forecasting, inventory optimisation and AI assistants for finance teams, built with Snowflake Cortex AI.