Read and follow along to complete the labs. Lab instructor will give you a high-level overview of the labs and help answer any questions. Don’t worry if you get stuck, we provide hints along the way.
In this workshop we will cover various data extraction patterns supported by SAP applications and hands-on labs on to extract data from SAP into data lakes on AWS.
Business transformations by extending SAP Data!!
Data is ubiquitous and is being exponentially generated in enterprise. However, the majority of this data is dark data. The Gartner glossary defines dark data as the information assets that organizations collect, process, and store during regular business activities, but which they generally fail to use for other purposes. Those other purposes could include analytics, business relationships, and direct monetization.
➡️ Although the business case for migrating SAP workloads to AWS is well-articulated, many customers are also looking to build stronger business cases around transformations powered by data and analytics platforms.
➡️ We hear firsthand from customers that they are looking at ways to tap into SAP data along with non-SAP application data.
➡️ Our customers want real-time streaming data generated by internet-powered devices to build data and analytics platforms on AWS.
Make sure to also watch our video from AWS re:Invent 2019 on SAP Extend to get deeper insights on big data and analytics for SAP.