SAP Data Warehouse Cloud Training in Version IT in Hyderabad is designed to assist you to become proficient in modern data analytics and cloud based data warehousing by using SAP technologies. The course is about real-time construction, creation, and analysis of business data with SAP Data Warehouse Cloud (since included in SAP Datasphere).
SAP Data Warehouse Cloud (DWC) is a recent cloud-based data warehousing solution that assists organizations to combine, model and analyze both data of various origins within a single platform. It enables companies to integrate both structured and unstructured data and create real-time insights.
SAP DWC education gives you the ability to gather SAP and non-SAP data, create data models, develop analytical views, and create business reports. The solution is extensively applied in business intelligence and data engineering, as well as enterprise analytics.
In Version IT, SAP DWC training begins with basic understanding of data and then proceeds to advanced cloud analytic situations. The concepts can be learned step by step even by beginners without the experience with SAP or analytics.
By learning SAP DWC, you will become one of the most competitive individuals in the data analytics market which is growing and changing at a very fast pace. With the ability to traverse the unified data fabric of SAP, organizations are now the most sought-after properties in the IT industry as they scuttle the legacy on-premise systems in favor of the cloud and its agility.
The current trend in cloud infrastructure that has been experienced globally has resulted in a large talent gap. Businesses are seeking specialists that can put into practice the model of Data-as-a-Service, and SAP DWC is the core of this shift. When you acquire this technology, you will be getting yourself a place in an ecosystem where there will always be high demand of qualified architects as compared to the supply.
The contemporary business creates huge amounts of information in various platforms. SAP DWC training will enable you to operate in complex big data settings where you are taught how to combine, model and visualize data without necessarily having to go through the conventional, lengthy ETL procedures.
Since SAP DWC is a business-level solution that can be applied by Fortune 500 companies, financial incentives are high. The salaries of professionals in this niche are above average, and the chance of having global professional life are also offered, since such competencies can be used worldwide, both in North America, Europe, and Asia.
Another feature that is the strongest in DWC is its native integration with SAP Analytics Cloud (SAC). This combination enables you to make a complete end-to-end solution out of it- data modelling, to sophisticated storytelling and predictive forecasting and makes you a well-rounded consultant able to manage the whole analytical life cycle.
SAP DWC, being an analytics technology, will be able to be scaled to the development of AI and machine learning. At this point, you would have invested in future-proof technology that would see your skillset remain instrumental and needed going forward as organizations still focus on the importance of utilizing data to make decisions.
Version IT is a reputed SAP training center in Hyderabad that offers industry-oriented analytics training. The institute provides hands-on exposure to SAP cloud systems and next-generation data platforms.
Students learn not only the tools, but also how businesses use data to make informed decisions. The training is highly practical, focusing on sales analytics, financial reporting, and operational dashboards.
Version IT trainers are highly experienced in SAP analytics and cloud-based projects. They explain technical concepts in a simple and clear manner and guide students through real-world business data use cases.
Students work with real datasets and cloud-based projects. This helps them understand the development of end-to-end data pipelines and analytics models that are widely used in real organizations.
Version IT offers both online and classroom training with flexible batch timings, making it easy for working professionals and students to learn without disrupting their careers.
The institute also provides resume preparation, interview guidance, job referrals, and career counseling to help students secure roles in data analytics and SAP cloud domains.
SAP Data Warehouse Cloud training is appropriate to:
There is no need of any advanced technical background.
Upon passing the SAP DWC training, positions that you can take include:
SAP DWC certification certifies that you understand cloud-based data analytics.
Certification Benefits:
Version IT provides certification training through mock exams and professional mentoring.
SAP Data Warehouse Cloud is applied in numerous industries:
It assists companies in making evidence-based choices based on real time information.
The benefits that SAP DWC has modernity over the traditional on-premise systems are numerous.
Key differences:
SAP DWC is more adaptable and visionary.
Join SAP Data Warehouse Cloud Training in Version IT, Hyderabad, and advance your cloud analytics skills using real-time projects and professional mentorship. Enroll now!
The training of SAP DWC provides knowledge on the cloud-based data warehousing and analytics techniques based on the SAP tools that present professionals with the opportunities to integrate, model, and analyze business data effectively.
Yes, SAP DWC is friendly to freshers as it begins with simple data concepts and then progressively presents the cloud analytics and modeling methods to them.
It takes a period of 6 to 8 weeks on average based on the type of batch and the rate of learning.
The freshers will get an average of 5-8 LPA and the experienced professionals will get 10-20 LPA in accordance with their skills and company.
Yes, Version IT provides resume preparation, interview preparation, job placements, and career advice to the SAP DWC students.
SAP MDG Course Content
CHAPTER 01 – Getting Started with SAP MDG
1. SAP MDG Overview
2. MDG Architecture
3. Deployment Options
4. MDG Storage Areas
5. MDG Architecture Principle
6. Governance Process Flow in MDG
7. Business Processes in MDG
8. Understanding Out-of-the-box Domains
CHAPTER 02 – Baseline Configuration
1. Version Identification
2. MDG Software Components
3. Business Functions activation for various domains
4. Business Configuration Sets (BC Sets)
5. Pre-Requisites to use MDG Workflows
6. Data Model activation & adjusting Staging Area
7. System Validation
8. Business Processes Validation
9. Authorizations & Roles of various domains
10. User specific Roles administration
CHAPTER 03 – Data Modeling
1. Introduction
2. Data Model Configuration Activities
3. Reuse Active Area & Access Class
4. Key Reports of Data Modeling
5. Entity Types and Attributes
6. Entity Relationship Types
Data Model Extension by New Entity/Attributes
CHAPTER 04 – Service Mapping Tool
1. Introduction
2. Mapping Vs Mapping Step
3. Mappings assignment to Entity Types
4. SMT Mapping to Active Area
5. SMT Mapping to Staging Area
6. Mapping Steps with multiple Source Structures
7. Simple Transformations
8. Complex Transformations
9. Calling SMT in ABAP Programs
10. Extend SMT Mapping
11. Check SMT Mapping
CHAPTER 05 – Data Quality and Check
1. Introduction
2. Types of Search Applications
3. Duplicate Check Configuration
4. Match Profile Configuration
5. Define Search Views
6. Validations & Derivations (USMD_RULE_SERVICE)
7. Cross-Entity Derivations using BAdI (USMD_RULE_SERVICE_CROSS_ET)
8. Change Request Header Validations
9. Change Request Header Derivations
CHAPTER 06 – UI (User Interface) Modeling
1. Introduction
2. Evolutions of User Interfaces in SAP
3. Webdynpro ABAP
4. Floor Plan Manager
5. Understanding MDG UI Framework (GenIL BOL)
6. UI Configuration Activities
7. UI Extensibility
CHAPTER 07 – Process Modeling
1. Introduction
2. Define Governance Scope
3. Logical Actions & Business Activities
4. Pre-requisites to use MDG Workflows
5. BUS2250 Business Object Type
6. MDG Workflow Templates
7. Change Request (CR) Type configuration
8. Rule-Based Workflows (RBWF)
9. Other MDG Workflows
10. Dynamic Agent Selection
11. Parallel Workflows
12. Email Notifications
13. Dynamic Workflow Steps
14. RBWF BAdIs
CHAPTER 08 – Data Replication Framework (DRF)
1. Introduction
2. Various methods to Replication Master Data
3. Choose the right replication method
4. Outbound Implementations
5. Outbound Implementation Class
6. Filter Criteria
7. Replication Model
8. Manual Replication
9. Auto Replication
10. Ad-Hoc Replication
11. Replication Logs
12. Key Mapping
13. Value Mapping
CHAPTER 09 – Data Import Framework (DIF)
1. Introduction
2. Configure File Paths (Source / Archive Paths)
3. Linking File Paths to BO Types
4. Different methods to import Master Data
5. Import using XML & CSV Files
6. Data Import Monitoring
7. BAdI for File Conversions
CHAPTER 10 – Extending MDG Standard Features
1. Introduction
2. Custom Data Model
3. Standard Data Model Extension
4. Standard UI Extension
5. Custom MDG UI Applciation
6. Custom Roles to cater varous Workflow Business Users
7. SMT Extension
8. Standard Feeder Class Enhancement
9. Standard Access Class Enhancement
10. Custom GenIL Handler Class for BP Model
11. Extend BAdIs for Finance Model
CHAPTER 11 – Miscellaneous Topics
1. Mass Change
2. Multi-Object Processing
3. File Download / File Upload
4. Fiori Application Walk-Through
5. NWBC / Fiori Roles
6. Roles & Responsibilities of MDG Technical Consultant in a Project
7. Roles & Responsibilities of MDG Functional Consultant in a Project
8. MDG Functional Specification Walk-Through
9. MDG Technical Specification Walk-Through
10. MDG System Design Document Walk-Through
11. End-to-End MDG Implementation Project Activities
12. Master Data Consol