![]() Combine data profiling, data lineage, and metadata management to gain continuous insight into the integrity of your enterprise data model. This project is licensed under the Apache Software License, version 2.0 except as noted otherwise in the LICENSE file. SAP Information Steward Understand, analyze, and quantify the impact of data on your business processes. LicenseĬopyright (c) 2020 SAP SE or an SAP affiliate company. Responsibilities: Developed and presented a set of best practices for using SAP Information Steward to guide data governance and data remediation processes. Otherwise, you may request support via the Issues tab. Support for the content in this repository is available during the actual time of the online session for which this content has been designed. Exercise 3 - Search, Self-Service Data Preparation, Review Results, and View Lineage.Exercise 2 - Rule Creation, Testing Rule, Rulebooks, and Data Quality Dashboards SAP Information Steward leverages Data Services for the following purpose: - Connectivity with source systems - RDBS sources, SAP ECC, SAP BW, SAP HANA etc.Exercise 1 - Profiling, Factsheet, Catalog, and Glossary.This hands on exercise was originally created for a TechEd session, please note that your username and password WILL be different then given in the steps throughout this document and you should use the username and password assigned to you.Your screen shots may look different than those in the exercises they may contain additional content, depending on what other attendees have entered.Rename 'Sales_data.csv' to 'Sales_data_#.csv' Note: where # is the number assigned to you Rename 'Customers_US2.parquet' to 'Customers_US2_#.parquet' Note: Suggestion put the files in a folder called 'TechEd_DAT163'Ĭlick on 'Sales_data.zip' file (listed above) Register to obtain your username and passwordĬlick on 'Customers_US2.parguet' file (listed above)Ĭlick 'Download' 'Customers_US2.parguet' file ![]() The requirements to follow the exercises in this repository are to use a Chrome web browser Pre-Requisites This session also includes how a business analyst can discover data, gain insight, enhance and enrich data using self-service data-preparation capabilities in SAP Data Intelligence. This hands-on exercises include how a data steward can build a metadata catalog, define rules and build a dashboard to monitor the quality of data. You will learn about use cases on data discovery, data governance, data quality monitoring, and data preparation. This session provides attendees an overview of data governance capabilities available in SAP Data Intelligence. This repository contains the material for DAT163 - A Data Governance Journey with SAP Data Intelligence. He has more than 14 years of information technology experience in the following areas: ETL architecture, development, and tuning logical and physical data modeling and mentoring on data warehouse, data quality, information governance, and ETL concepts.DAT163 - A Data Governance Journey with SAP Data Intelligence He is an SAP Certified Application Associate on SAP BusinessObjects Data Integrator, and he is very active in the SAP community, speaking globally at numerous SAP and ASUG conferences and events. Create a data dictionary and manage metadataĬheckout this new E-Bite from Don Loden! Now available for pre-order!ĭon Loden is a principal consultant at Decision First Technologies with full lifecycle data warehouse and information governance experience in multiple industries.Configure scorecards and rules using Data Insight.I will examine both these applications in the. ![]() Govern your incoming data in real-time using Information Steward 4.2 SAP’s Master Data Governance (MDG) and Information Steward (IS) applications in tandem provided capabilities to address these challenges.Thanks to a detailed case study, you’ll untangle your data in no time! As the information governance layer of SAP Business Technology Platform, it can help you anticipate risk and drive better business outcomes. ![]() Overrun and overwhelmed by an influx of data? Monitor data in real-time with this E-Bite on SAP Information Steward! Discover how to assess, analyze, and cleanse your data with three modules: use Data Insight for building scorecards and rules, Metadata Management for metadata collection and organization, and Metapedia for defining business standards and terminology against data. SAP Information Steward software supports data profiling and monitoring and information policy management.
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