Introduction Gartner found that nearly 97% of data sits unused by organisations, and more than 87% of the organisations are classified as having low maturity levels in terms of business intelligence and analytics capability. This capability deficit could severely restrict a company’s growth and introduce risk to its existence as it cannot reinvent itself. Every […]
Introduction Our customers increasingly want to combine their SAP and non-SAP data in a single data lake and analytics solution to bridge siloed data and drive deeper business insights. Last year, we launched the Amazon AppFlow SAP OData Connector to make it easier for customers to get value out of SAP data with AWS services. […]
Introduction At AWS, we commonly hear from customers that they are looking to not only move their SAP systems to the cloud, but transform the way they use data and analytics capabilities within the organisation. Furthermore, they want to combine the SAP data with non-SAP data in a single data and analytics solution on AWS. […]
Implementing a continual learning machine learning pipeline with Amazon SageMaker, AWS Glue DataBrew and SAP S/4HANA
Machine learning is increasingly becoming a core part of the digital transformation. It helps companies recognize patterns at scale and find novel ways to delight customers, streamline operations, or help make a product successful in a competitive marketplace. In practice, when you build an architecture based on machine learning, you need to understand the data, […]
With more than 5,000 active customers running SAP on Amazon Web Services (AWS), AWS has become the de facto cloud platform for SAP workloads. For years, customers have chosen AWS for their mission-critical SAP applications due to our high-performance, cost-effective global infrastructure, wide variety of Amazon EC2 instance types certified for SAP, and extensive experience […]
Customers are looking at ways to tap into SAP data along with non-SAP application data. They want real-time streaming data generated by internet-powered devices to build data and analytics platforms on AWS. In this post, I cover various data extraction patterns supported by SAP applications. I also cover reference architectures for using AWS services and other third-party solutions to extract data from SAP into data lakes on AWS.
Instead of clicking through the SAP GUI searching for the data you need, you can set up a connection to SAP HANA using AWS Glue and extracting data to Amazon S3. This post shows you how.
In this series of blog posts, learn how to integrate your SAP Process Integration and Orchestration (SAP PI/PO) and SAP Cloud Platform Integration with AWS Transfer for SFTP (AWS SFTP). Also, see how to use the data that AWS SFTP stores in Amazon Simple Storage Service (Amazon S3) for post-processing analytics.
Using the SAP HANA SDA feature and ODBC drivers from Amazon Athena, you can now federate queries from SAP HANA to Athena, combining data from SAP HANA with data that is available in an Amazon S3 data lake without needing to copy this data to SAP HANA first.