Unlock Business Value with a Scalable Sap Data Lake Reference Architecture

A scalable SAP data lake reference architecture can help businesses unlock significant value by providing a centralized platform for storing, processing, and analyzing large amounts of data.

By leveraging a data lake, organizations can reduce data silos and improve data governance, enabling faster decision-making and better business outcomes.

A well-designed data lake can also facilitate real-time analytics and machine learning, allowing businesses to stay ahead of the competition and capitalize on new opportunities.

With a scalable data lake, businesses can process and analyze vast amounts of data from various sources, including SAP systems, cloud applications, and IoT devices.

Data Ingestion is a crucial step in building a robust SAP Data Lake. BryteFlow's SAP Data Lake Builder extracts SAP data directly from SAP applications, using SAP BW ODP Extractors or CDS Views as OData Services, ensuring that data is extracted with application logic intact.

This process is a huge time-saver and allows access to data without licensing issues, making it ideal for users who cannot connect to the underlying database. BryteFlow Ingest can be used for database log-based Change Data Capture.

For real-time SAP ETL, BryteFlow SAP Data Lake Builder extracts SAP ERP data at the application level with business logic intact, replicating data with business logic intact to your SAP Data Lake or SAP Data Warehouse. This automated setup of data extraction and analysis of the SAP source application ensures that your data is ready-to-use on the target for various uses cases, including Analytics and Machine Learning.

BryteFlow SAP Data Lake Builder supports various data sources, including SAP ECC, S4HANA, SAP BW, and SAP HANA, using the Operational Data Provisioning (ODP) framework and OData services. It also supports CDC with BryteFlow Ingest, allowing you to extract SAP data at the database level.

Here are some of the data sources that BryteFlow SAP Data Lake Builder supports:

In addition, BryteFlow SAP Data Lake Builder enables automated upserts to keep the SAP data lake on Snowflake, Redshift, Amazon S3, Google BigQuery, Databricks, Azure Synapse, ADLS Gen2, Azure SQL DB, or SQL Server continually updated for real-time SAP ETL.

The technical architecture of a SAP Data Lake is built around a centralized data hub that integrates data from various sources, including SAP and non-SAP systems.

This data hub is based on the SAP Vora platform, which provides a scalable and secure environment for storing and processing large amounts of data.

The SAP Vora platform is designed to handle high-volume data ingestion and processing, making it an ideal choice for a data lake.

Data is ingested from various sources, including SAP systems, such as SAP ERP, SAP CRM, and SAP BW, as well as non-SAP systems, like Hadoop and NoSQL databases.

The SAP Vora platform uses a distributed architecture to process and store data, allowing for real-time analytics and reporting.

This architecture is designed to be highly scalable and fault-tolerant, ensuring that data is always available for analysis and reporting.

The data lake is also integrated with other SAP solutions, such as SAP HANA and SAP BW, to provide a unified view of the data.

Data Consolidation is a crucial step in building a robust SAP data lake reference architecture. Consolidating ERP data can be a huge time-saver, especially when you use the BryteFlow SAP Data Lake Builder.

This tool extracts SAP data directly from SAP applications, using SAP BW ODP Extractors or CDS Views as OData Services, so the data is transferred with application logic intact. Some users may not be able to connect to the underlying database due to SAP licensing restrictions, but the BryteFlow SAP Data Lake Builder allows access to the data directly without licensing issues.

With BryteFlow, you can prepare, transform, and merge your data on your data lake, enriching it as required or building curated data assets that the entire organization can access for a single source of truth.

BryteFlow SAP Data Lake Builder provides no-code and real-time SAP data replication and integration, with continuous data integration as changes in application data are merged on the destination in real-time. This means you don't have to rely on technical experts for SAP ETL processes and can save on resources.

Here are some key benefits of using BryteFlow for data consolidation:

Overall, BryteFlow's data consolidation capabilities make it an ideal choice for building a robust SAP data lake reference architecture.