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SAP HANA To DataBricks
How we migrated to Databricks from SAP HANA
BryteFlow: No-Code SAP ETL to Databricks on AWS & Azure
We automated SAP data integration into Databricks Lakehouse effortlessly with real-time Change Data Capture (CDC). We used BryteFlow as an engine, which delivers ready-to-use data on AWS and Azure, ensuring seamless SAP to Databricks replication without coding.
Key Benefits received by customer for SAP to Databricks Migration:
Real-time, no-code ETL – We automated SAP data workflows with minimal effort. Low-latency CDC replication – We kept SAP data in sync with Databricks with minimal source impact. Supports all SAP versions – We ingested data from S/4HANA, ECC, HANA, SAP BW, and older SAP versions. Business logic intact – We extracted SAP data while preserving business rules without manual re-creation. Optimized for Databricks – We used Delta Lake best practices, automated partitioning and parallel loading. Flexible file format handling – Easily configures file types (e.g., Parquet-snappy) and compression.
How BryteFlow Delivered SAP Data to Databricks:
Application-Level Extraction – We used CDS Views, Extractors, Pool & Cluster tables for seamless SAP data ingestion.
Database-Level Extraction – We connected via SAP database logs and SAP Data Services for efficient data movement.
Automated Data Conversions – Pre-built transformations ensure analytics-ready data in Databricks Lakehouse.
With BryteFlow, We built an automated SAP Data Lake, streamline SAP cloud migrations, and unlocked immediate access to SAP data in Databricks—all without coding. 
Published:
September 18, 2024
Category:
Development
Client:
Rolls Royce
