Most enterprises have the same problem. Their most valuable business data — sales figures, supply chain records, HR data, financial transactions — lives inside SAP. But their analytics teams, data scientists, and AI builders are working in platforms like Snowflake. Getting data from one world to the other has always meant painful extraction jobs, ETL pipelines, duplicate copies, and the constant worry that by the time the data lands in Snowflake, it is already out of date.
SAP has solved this. With SAP Business Data Cloud (BDC) and SAP Snowflake, those two worlds now connect natively — without moving a single byte of data, without rebuilding pipelines, and without losing the business meaning that makes SAP data so valuable.
This blog is a follow on from my previous blog Need to Know – Unlocking the Power of AI in SAP Analytics Cloud explaining how you can extend AI, machine learning and predictive from SAP Analytics Cloud using SAP Snowflake that is part of SAP Business Data Cloud.
Most enterprises have the same problem. Their most valuable business data — sales figures, supply chain records, HR data, financial transactions — lives inside SAP. But their analytics teams, data scientists, and AI builders are working in platforms like Snowflake. Getting data from one world to the other has always meant painful extraction jobs, ETL pipelines, duplicate copies, and the constant worry that by the time the data lands in Snowflake, it is already out of date.SAP has solved this. With SAP Business Data Cloud (BDC) and SAP Snowflake, those two worlds now connect natively — without moving a single byte of data, without rebuilding pipelines, and without losing the business meaning that makes SAP data so valuable.This blog is a follow on from my previous blog Need to Know – Unlocking the Power of AI in SAP Analytics Cloud explaining how you can extend AI, machine learning and predictive from SAP Analytics Cloud using SAP Snowflake that is part of SAP Business Data Cloud. Read More Technology Blog Posts by SAP articles
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