Data Engineering & Architecture - AI for SAP, SAP Replication to Databricks and Snowflake Data Business GmbH

Data Sovereignty in SAP Data Replication: Why Your Data Must Never Leave Your Network

roman — Fri, 06 Mar 2026 12:01:47 +0000

Data sovereignty is no longer optional — it is a legal and strategic imperative. Discover how SAP data replication to Snowflake and Databricks can be designed with full data sovereignty by keeping your sensitive SAP data entirely within your own infrastructure.

The post Data Sovereignty in SAP Data Replication: Why Your Data Must Never Leave Your Network first appeared on Data Business GmbH.

5 Best Practices for Designing Scalable Data Pipelines

Pralay Ahluwalia — Fri, 27 Jun 2025 14:40:36 +0000

1. Embrace Modularity & Decoupled Architecture Why it matters: Breaking pipelines into modular, loosely coupled components (e.g. ingestion, business rules, transformation, loading) encourages maintainability, independent scaling, and easier upgrades.Real-world takeaway: The SAP HANA case study you referenced features mapping engines for business rules that act as a distinct stage in the ETL, ensuring rules can evolve […]

The post 5 Best Practices for Designing Scalable Data Pipelines first appeared on Data Business GmbH.

How to Build Dashboards That Actually Drive Decisions

Pralay Ahluwalia — Fri, 27 Jun 2025 12:06:54 +0000

In an era awash with data, dashboards promise clarity—but more often they offer confusion. To transform dashboards into true decision drivers, consider these five essential pillars: 1. Start with Business-Centric Objectives Dashboards must answer strategic questions, not merely show data. Utilize a structured methodology—like BADIR (Business question, Analysis plan, Data, Insights, Recommendations) — to ensure […]

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Case Study: SAP HANA Mapping Engines for Business Rules in ETL Loads for Mass Data Processing

Pralay Ahluwalia — Thu, 19 Jun 2025 11:05:32 +0000

Executive Summary This case study examines the capabilities of SAP HANA’s mapping engines for implementing business rules in ETL processes for mass data processing scenarios. We analyze both native SAP solutions and third-party products, evaluating their performance, scalability, and suitability for enterprise-level data transformation requirements. The study includes real-world implementation examples, comparative analysis, and recommendations […]

The post Case Study: SAP HANA Mapping Engines for Business Rules in ETL Loads for Mass Data Processing first appeared on Data Business GmbH.