Why you need SAP data integration
Why bother with SAP data integration at all? The reason is simple, most large organizations use SAP data for analytics in their ERP operations in one way or the other. As one of the most popular ERP software in the world SAP is used by large organisations to manage their financials, logistics, human resources, and other business areas. The data in these systems is rich and suitable for powerful insights especially when combined with other company data to provide a 360-degree view of customers and other business insights. Hence organisations are looking at integrating SAP data with non-SAP data on the cloud data lakes or data warehouses in destinations like Snowflake, Redshift, S3, Azure Synapse, ADLS Gen2, Azure SQL DB, SQL Server and Google BigQuery to drive powerful analytics engines and get that competitive edge.
SAP data integration starts with SAP extraction, a not so easy starting point
SAP data extraction is where it all begins. Many organizations face real difficulties in extracting SAP data. SAP is a difficult data silo and needs specialised SAP data replication tools for this purpose. SAP data replication tools can make the data available real-time to analytics platforms for SAP Analytics. Organisations can get a consolidated view across SAP and non-SAP data on these analytics platforms for business insights and advanced machine learning for e.g getting SAP data to Snowflake or SAP HANA to Snowflake, merging it with other data and transforming it for analytics. Creating CDS Views in SAP HANA for data extraction
Challenges with SAP ETL: Extracting SAP Data from the Data Silo
Data replication for SAP ETL often proves a challenge as SAP data could have thousands of tables with complex relationships as well as proprietary data formats that make data hard to access outside of a SAP environment. Some of these design decisions were taken earlier in the SAP software when databases could not cope with large amounts of data and fields – but unfortunately, they are here to stay for some SAP installations. The logic required to piece the data is sometimes also required and is hard to replicate on the destination data lake or data warehouse. This structural complexity means that SAP data integration for SAP Analytics can be time consuming and expensive.
SAP BW and creating an SAP OData Service
Some issues with SAP data integration
SAP databases use a proprietary language
SAP uses the proprietary ABAP language that is not very conducive to replication since it remains batch only. This needs to be worked around for getting real-time data or near real-time data. Real-time data with our SAP ETL Tool
Highly compressed SAP Pool and Cluster tables
SAP ECC (ERP Central Component) is used by a lot of organizations and stores data in Pool and Cluster tables. This data is stored in a highly compressed, encoded format so for SAP data extraction, decompression and decoding is required. Going forward, SAP HANA is getting rid of Pool and Cluster tables, however it will be some time before SAP ECC is completely phased out. Create SAP OData Service on ADSOs and BW Queries in SAP BW on HANA
SAP HANA migration needs to be factored in
Even if you are using SAP ECC today, at some point in the future you will need to migrate to SAP HANA. You need a SAP data integration tool that can liberate SAP data from your Pool and Cluster tables and also handle the SAP data extraction and replication from SAP HANA in the future.
Data extraction from SAP S/4 HANA in 5 different ways
What to look for in a SAP data integration tool?
Even though SAP has its own SAP Data Integration software, a third party SAP data integration tool like BryteFlow can make it faster and easier to replicate and integrate SAP data with other types of data and to load the data as required into a SAP data warehouse, SAP data lake, or other analytics platforms on the cloud. With the right SAP data integration solution, you can easily define, copy, and move the SAP data you need to the destinations continually and securely, with the business rules intact. SAP data integration becomes no code and effortless. And with enterprise-class Change Data Capture technology, SAP data integration will have almost no operational impact. SAP SLT Replication using ODP Replication Scenario
SAP Data Integration for Real-Time SAP Analytics
BryteFlow for SAP is a completely automated SAP data integration tool that extracts SAP data from silos and replicates SAP data to your cloud data warehouse, data lake, or operational data store including AWS and Azure in real-time. BryteFlow supports flexible connections to SAP including: Database logs, ECC, HANA, S/4HANA and SAP Data Services. It also supports Pool and Cluster tables for real-time SAP Analytics.
Automated table creation by our SAP data replication tool
Our SAP data replication tool decodes complex data structures like pool and cluster tables and GUID types into easily accessible data models for your target systems, allowing you to quickly integrate SAP and other types of data and continuously update target systems using Change Data Capture. BryteFlow also allows you to take selective columns and rows across, making SAP integration on the destination faster and easier. SAP data formats, especially for date and time data types can be converted with a few clicks, so that they can be accessed on the destination in a uniform and consistent manner.