SAP S/4HANA integration low-code development like Neptune DXP and Onibex One Connect

Bridging the Gap: How Onibex One Connect helps in Data Warehouse Modernization

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Key Takeaways

⇨ Seamless data movement is crucial for organizations as legacy data warehouses struggle to manage modern data complexities, emphasizing the need for cloud data warehouse modernization with solutions like Snowflake and Databricks.

⇨ Technologies like Onibex’s One Connect enhance data integration by providing low-code solutions, prepackaged SAP entity mapping, and real-time data transmission, thereby streamlining processes and improving data accessibility.

⇨ Modern data warehouses increase data quality and governance while reducing costs and improving operational efficiency, enabling organizations to make timely decisions through real-time analytics and effective data management.

Seamless data movement has become more critical than ever for organizations in an increasingly complex enterprise environment. SAPinsider research also shows that designing a comprehensive data and integration strategy is vital, as new technologies offer enhanced analytics, development, and artificial intelligence capabilities, including those of data and integration.

Traditionally, businesses used data warehouses like SAP BW as a centralized repository to store, manage, and analyze large volumes of structured and semi-structured data from various sources. However, legacy data warehouses are now limited by their rigid architecture and struggle to handle the variety, volume, and velocity of modern data.

This calls for data warehouse modernization to cloud data warehouses like Snowflake and Databricks that offer scalability, elasticity, cost-efficiency, and advanced analytics tools. But how can businesses integrate their data with these warehouses? In such a scenario, technologies like Onibex’s One Connect, fully verified by SAP, are emerging as a reliable integrator to assist organizations in achieving their data warehouse strategies. Learn more about One Connect on the SAP Store.

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Connecting a complex enterprise landscape

One Connect facilitates the seamless flow of data between SAP and Apache Kafka, a platform for building data streaming pipelines. It democratizes an organization’s data across the enterprise. One Connect, fully verified by SAP and Confluent, empowers organizations with a holistic and secure approach to connecting SAP ECC and S/4HANA with Databricks and Snowflake through Apache Kafka, delivering real-time insights into inventory, sales, and procurement. One Connect’s key features include:

  • Low/No Code Drag and Drop Graphic Data Modeler: Users can effortlessly map and integrate SAP tables and CDS views into entities using a drag-and-drop functionality, minimizing the need for coding and accelerating implementation.
  • Prepackaged SAP Entity Mapping: One Connect features the ability to upload 170 pre-mapped SAP entities via Excel from Sales Order, Customers, Materials, to Production Orders, Vendors and every data entity in between. It is a one-time setup that minimizes manual effort and streamlines the deployment process.
  • Real-Time & Batch Data Transmission: One Connect by Onibex handles both batch and real-time SAP data transmission. Start with the upload of historical batch data, then activate real-time to capture deltas. One Connect provides the option to apply filters at the SAP application layer that define the data you wish to send before it ever leaves your SAP environment. The selected data integrates the SAP data into Snowflake or Databricks via Kafka.
  • Easy Add Fields and Column Definitions: One Connect for SAP allows users to add fields and columns with a double-click, eliminating the need for ABAP or complex coding. It automatically creates missing tables or columns, derives table names from Kafka topic names, and supports automatic mapping of SAP data to predefined structures.

What this means for SAP Insiders

Modern data warehouses enhance data quality and governance. As organizations prepare for a future where AI plays a more significant role in the way that they run their businesses, ensuring data quality across the enterprise is becoming increasingly important. An SAPinsider survey indicates that 35% of the organizations surveyed report this as a crucial factor that drives their data and integration strategy. Streamlining data flows and automating data integration processes improve data quality and reduce errors.

Effective data management reduces costs and improves efficiency. Automating many manual data integration tasks frees IT resources for other critical projects. It also improves operational efficiency, reduces errors, and optimizes resource allocation, all of which lead to significant cost savings for the business. Technologies like One Connect empower SAP users to optimize their data flow by facilitating integration with over 200 Confluent connectors.

Data warehouse modernization leads to an agile organization. By integrating diverse data sources, including structured, semi-structured and unstructured data, and leveraging modern ETL/ELT tools for efficient data ingestion and transformation, modern data warehouses support real-time or near-real-time data ingestion and analytics, enabling businesses to make timely decisions. Moreover, streaming technologies like Apache Kafka help in real-time processing while data lake integration allows organizations to analyze raw and curated data in a single environment.

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