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In this blog we identify the most important SAP Sales and Distribution (SD) tables for users of:
Most SAP data workflows run on a schedule. They wake up, read from SAP, and work out what changed. That works, but there is always a window where you are acting on stale data. There is another way. SAP can push the change to you the moment it happens. A customer gets created, an order gets saved, a journal gets posted, and your workflow runs within seconds. This post explains how the DVW Flow Tool captures SAP changes, the event-driven version of change data capture, at the application layer. No database triggers, no log-mining, no replication layer. Getting SAP data into Databricks has traditionally been a headache. Teams write custom extracts, stage files, and wait for a pipeline to finish before the data science work can even start. There is a faster way. With the DVW Flow Tool you call SAP directly from a Databricks notebook and land your data into a table in minutes. This short demo shows how it works, from an empty flow to a clean table ready for forecasting and trend analysis. SAP now shares data with Snowflake and Databricks with no copy. It is a real step forward, and it has generated plenty of excitement. But getting SAP data into your platform is the easy half. For AI, success is determined by what the model is fed. This post looks at what zero-copy sharing solves, what it does not, and how to stay in control of the SAP data your analytics and AI actually use. SAP has set a deadline that is reshaping the plans of tens of thousands of large organizations. Mainstream support for SAP ECC, the ERP that has run finance, supply chain and operations for many of the world's biggest companies for the better part of two decades, is coming to an end. This is a short, plain-English guide to what that actually means, the real dates, why SAP is doing it, and what customers are doing about it, whether they are migrating to S/4HANA or staying on ECC for years yet. In this blog we identify the most important SAP Warehouse Management (WM) and Extended Warehouse Management (EWM) tables for users of:
In this blog we identify the most important SAP Project System (PS) tables for users of:
In this blog we identify the most important SAP Plant Maintenance (PM) tables for users of:
In this blog we identify the most important SAP Quality Management (QM) tables for users of:
In this blog we identify the most important SAP Production Planning (PP) tables for users of:
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SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries. Alteryx is a registered trademark of Alteryx, Inc. KNIME is a registered trademark of KNIME AG. Dataiku is a registered trademark of Dataiku SAS. All other product, company, and brand names mentioned herein are the trademarks or registered trademarks of their respective owners and are used for identification purposes only.










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