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Missions

 

Our guided learning missions walk you step-by-step through the
amazing world of SAP Data Warehouse Cloud. Presented in short,
digestible videos, each unit brings you closer to becoming an expert
in data warehousing.

 

 

MISSION 1

Getting Started

Your first mission, should you choose to accept it, is to help our friends at Best Run Bikes bring together information from different parts of their business to understand more about their sales.

What you will learn :
1. Overview and Users
2. Spaces
3. Connections
4. Create an Entity-Relationship Model
5. Create a Data Model
6. Semantic Layer
7. Create a Data Story
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MISSION 2

Data Sources & Semantic Modelling

Your second mission, should you choose to accept it, is to put the openness and flexibility of SAP Data Warehouse Cloud into action! We’ll focus on retrieving data from different data sources – specifically SAP BW/4HANA and SAP HANA - before taking advantage of the semantic power of SAP Data Warehouse Cloud to build a meaningful data model that allows us to gain exciting insights from SAP Analytics Cloud.

What you will learn:
1. Create a Space
2. Data Sources
3. Connect to HANA
4. Flat files and Level-Based Hierarchy
5. Multiple Hierarchies
6. Calculated Columns
7. Data Builder
8. Visualizing Data Models

Bonus Units:
9. Upload a data set to SAP BW/4HANA
10. Upload a data set to SAP HANA
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MISSION 3

Integration and Modeling in the Data Layer

Welcome to the third Mission in your SAP Data Warehouse Cloud learning journey! We're excited you're joining us here in exploring the fascinating world of cloud data warehousing. Here at SAP Data Warehouse Cloud Academy, we pride ourselves on guiding you through the training you need to make the best business decisions possible, using SAP Data Warehouse Cloud.

What you will learn:
1. Refresher - SAP Data Warehouse Cloud's User Interface
2. Data Preparation - File Upload with Wrangling Support
3. a. Data Modeling in the Data Layer - Graphical View & SQL View
3. b. Modeling in the Data Layer - Time Tables & Dimensions
3. c. Modeling in the Data Layer - E/R Models
4. The Data Integration Monitor (Remote Table Monitoring)
5. a. Getting Ready for Analytics
5. b. Creating a Story with SAP Analytics Cloud
6. Knowledge Check

Bonus Units:
7. Data Ingestion with the Open SQL Schema
8. The Content Network
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