datasphere

SAP Datasphere system administration skill for managing spaces, users, roles, security, monitoring, and transport operations. Use when performing administrative tasks including creating/managing spaces, user management, role assignment, system monitoring, capacity planning, or transport package operations.

Build Analytic Models for SAP Analytics Cloud consumption. Use this skill when you need to create reporting dimensions, define sophisticated measures (calculated, restricted, count distinct), configure currency/unit conversions, set up exception aggregation, or prepare data for SAC dashboards. Essential for analytics layer design, KPI definition, and self-service BI enablement.

Activate pre-built SAP Business Content packages in Datasphere! Use this skill when you need to deploy industry-specific data models, manage content updates, handle prerequisites (Time Dimension, Currency Conversion), and align content with LSA++ layered architecture. Essential for rapid analytics implementation, reducing customization, and accelerating time-to-value in retail, automotive, finance, utilities, and other verticals.

Migrate SAP BW/4HANA to Datasphere using BW Bridge Shell and Remote Conversion. Use when replacing legacy BW systems, converting Process Chains to Task Chains, handling ADSO inventory migrations, analyzing Task List compatibility (STC01), or transitioning from hybrid Bridge operations. Essential for BW→Datasphere modernization strategies.

Master your Datasphere catalog governance—enrich metadata, manage glossaries, define KPIs, control tags, and analyze impact. Use this when you need to improve data discoverability, ensure consistent terminology, prevent governance chaos, validate KPI definitions, or assess change impacts before modifications. Triggers include "organize our catalog," "standardize metadata," "define business glossaries," "link our KPIs," "what breaks if we change this," and "which models use this table."

Automate Datasphere administration with CLI commands! Use this skill when you need to bulk-provision users, create spaces programmatically, manage connections at scale, rotate certificates, or integrate Datasphere into CI/CD pipelines. Ideal for DevOps teams, system administrators, and enterprises managing hundreds of users or multi-system landscapes through Infrastructure-as-Code.

SAP Datasphere connections skill for creating and managing data source connections. Use when configuring connections to SAP systems (S/4HANA, BW, ECC), cloud databases (BigQuery, Redshift, Azure SQL), or other data sources for use in views, data flows, and replication.

SAP Datasphere Data Integration expert skill covering Replication Flows, Data Flows, Transformation Flows, and Task Chains. Use for architecting, configuring, troubleshooting, and optimizing data movement pipelines including CDC/delta processing, ETL operations, and orchestration.

Publish and monetize data products through Datasphere's Data Sharing Cockpit. Use when preparing data for external consumers, setting up marketplace listings, managing access control, or licensing data assets. Keywords: data sharing, data product, marketplace, consumer, license, access control, data provider, visibility, quality.

SAP Datasphere exploration and discovery assistant. Guides users through understanding their Datasphere landscape — browsing spaces, discovering data assets in the catalog, inspecting table schemas, profiling data quality, tracing lineage, and building queries interactively. Use this skill whenever the user wants to explore, discover, understand, or get oriented in their SAP Datasphere environment. Also trigger when the user mentions "Datasphere", "spaces", "catalog", "data assets", "schema", "data profiling", "lineage", or asks questions like "what data do we have", "show me the tables", "what's in this space", or "help me find data". Even if the user just wants to browse or get a lay of the land, this skill should activate.

Diagnose and resolve errors in Data Flows, Replication Flows, Transformation Flows, and Task Chains. Use this when flows fail, to read error logs, identify root causes, and implement fixes. Critical for debugging data pipeline issues.

Master fuzzy matching and intelligent lookup configuration for data harmonization and record matching. Use this when you need to match company names across sources, reconcile customer addresses, match product descriptions, deduplicate data, or harmonize master data from multiple systems. Essential for data quality improvement, MDM implementation, and data integration workflows.

Optimize Datasphere performance NOW! Use when views run slow, queries timeout, or data flows lag. Analyze bottlenecks, tune execution plans, optimize persistence, manage storage. Keywords: slow query, performance, bottleneck, timeout, memory, CPU, execution plan, view optimization, partition, index.

Specialized assistant for importing entities from SAP S/4HANA and BW/4HANA into Datasphere. Use this when connecting to SAP systems, selecting CDS views, configuring ODP extraction, setting up Cloud Connector, or enabling real-time delta loads.

Design and enforce row-level security, Data Access Controls (DACs), Analysis Authorization imports from BW/4HANA, and audit policies. Use when implementing data governance, protecting sensitive information, migrating BW authorizations, configuring compliance auditing (SOX, GDPR), or establishing segregation of duties. Critical for regulated industries.

Generate and validate SQLScript and Python transformation logic for Data Flows and Transformation Flows. Use this when building complex transformations, optimizing performance, handling delta logic, or implementing SCD Type 2 slowly changing dimensions.

Move objects between Datasphere tenants using transport packages. Use when migrating objects from Dev to QA/Prod, managing versions, handling dependencies, or integrating SAP Content Network packages. Keywords: transport, package, export, import, CSN, JSON, dev qa prod, migration, dependencies, version control.

Expert guide for designing Graphical and SQL Views in SAP Datasphere's Data Builder. Use this when you need to create views, define semantic models, set up associations, configure data access controls, or optimize view performance. Essential for building semantic layers, implementing star schemas, and preparing data for analytics.