Analytics Legends The knowledge platform for SAP Analytics
Academy module

SQL Editor & Stored Procedures

SQL Editor and Stored Procedures decision flow: Graphical View, SQL View, and Stored Procedure or Table Function all execute on the HANA Cloud column-store engine, then flow into Task Chain orchestration and consumption in SAC, BW, or Planning. — architecture diagram for SQL Editor & Stored Procedures, Analytics Legends Academy module M012

As of 2026-08-16

A SQL view or a stored procedure is the tool an architect reaches for the moment a graphical view builder cannot express the logic — window functions, recursive hierarchies, transactional ETL with rollback. The decision that separates senior from junior is not whether to write SQL, but which HANA object family to write it in: a badly-chosen cursor loop turns a 100,000-account load into 100,000 round-trips, and a stored procedure without checkpoint logic turns a 15-minute failure into a full reprocessing incident visible to the client's finance team. Get the SQL-view-vs-procedure-vs-table-function call right and a transformation scales to a billion-row fact table; get it wrong and it saturates a shared production HANA Cloud tenant during a go-live week. This module is the operating discipline for that call — not a syntax tour.

What you will learn

  • Understand the core concepts behind sql editor & stored procedures
  • Apply SQL in a typical SAP analytics engagement
  • Recognize the 3-5 common mistakes and how to avoid them
  • Position this skill in your personal brand and rate conversation

SQL Editor & Stored Procedures in Datasphere and HANA Cloud

Datasphere's SQL editor and stored procedures are the escape hatch for logic the graphical view builder cannot express — and for senior architects they are the primary tool for performance-critical transformation, complex business rules, and reusable procedural logic. Two object families matter and they are not the same thing: SQL views (declarative SELECT-based, participates in the Datasphere semantic model) and SQLScript procedures / table functions (imperative or set-based, invoked from Data Flows or Task Chains). Understanding when each applies — and the HANA Cloud execution model behind them — is the difference between transformations that scale to billions of rows and those that collapse under load.

The HANA Cloud SQL Execution Model

Prerequisites

  • Intermediate hands-on experience on SAP analytics projects
  • Review core concepts first: C008, C004, C006

Outcomes

  • Understand the core concepts behind sql editor & stored procedures
  • Apply SQL in a typical SAP analytics engagement
  • Explain the core architecture and decision points for SQL Editor & Stored Procedures
  • Apply a repeatable implementation pattern in a 15-minute lab format

Full module available to members. The full module adds: the decision framework · the end-to-end scenario walkthrough · the KPI scorecard · the anti-patterns · the code blocks · the knowledge check · the diagrams.

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