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Certificates: Certificate "Big Data Analyst"
Original SAP Consultant Certificate -
Additional Certificates: Data Engineer" certificate
Data Analyst" certificate
Certificate "Big Data Specialist" -
Examination: Practical project work with final presentations
SAP Consultant Certification Reporting, Modeling and Data Acquisition with SAP BW/4HANA C_BW4H_214 -
Teaching Times: Full-timeMonday to Friday from 8:30 a.m. to 3:35 p.m. (in weeks with public holidays from 8:30 a.m. to 5:10 p.m.)
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Language of Instruction: German
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Duration: 28 Weeks
Data Engineer
Basics of Business Intelligence (approx. 2 days)
Fields of application, dimensions of a BI architecture
Basics of business intelligence, OLAP, OLTP, tasks of data engineers
Data Warehousing (DWH): handling and processing of structured, semi-structured and unstructured data
Requirements management (approx. 2 days)
Tasks, objectives and procedures in requirements analysis
Data modeling, introduction/modeling with ERM
Introduction/modeling in UML
- Class diagrams
- Use case analysis
- Activity diagrams
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Databases (approx. 3 days)
Basics of database systems
Architecture of database management systems
Application of RDBMS
Implementation of data model in RDBMS, normal forms
Practical and theoretical introduction to SQL
Limits of relational databases, csv, json
Data Warehouse (approx. 4 days)
Star Schema
Data modeling
Creation of Star Schema in RDBMS
Snowflake Schema, basics, data modeling
Creation of Snowflake Schema in RDBMS
Galaxy Schema: Basics, data modeling
Slowly Changing Dimension Tables Type 1 to 5 - Restating, Stacking, Reorganizing, mini Dimension and Type 5
Introduction to normal, causal, mini and monster, heterogeneous and sub dimensions
Comparison of state and transaction oriented
Fact tables, density and storage from DWH
ETL (approx. 4 days)
Data Cleansing
- Null Values
- Preparation of data
- Harmonization of data
- Application of regular expressions
Data Understanding
- Data validation
- Statistical data analysis
Data protection, data security
Practical structure of ETL routes
Data Vault 2.0, basics, hubs, links, satellites, hash key, hash diff.
Data Vault data modeling
Practical structure of a Data Vault model - Raw Vault, practical implementation of hash procedures
Project work (approx. 5 days)
To consolidate the content learned
Presentation of the project results
Data analytics
Introduction to data analysis (approx. 1 day)
CRISP-DM reference model
Data analytics workflows
Definition of artificial intelligence, machine learning, deep learning
Requirements and role in the company of data engineers, data scientists and data analysts
Review of Python basics (approx. 1 day)
data types
Functions
Data analysis (approx. 3 days)
Central Python modules in the context of data analytics (NumPy, Pandas)
Process of data preparation
Data mining algorithms in Python
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Data visualization (approx. 3 days)
Explorative data analysis
insights
Data quality
Benefit analysis
Visualization with Python: Matplotlib, Seaborn, Plotly Express
Data storytelling
Data management (approx. 2 days)
Big data architectures
Relational databases with SQL
Comparison of SQL and NoSQL databases
Business Intelligence
Data protection in the context of data analysis
Data analysis in a big data context (approx. 1 day)
MapReduce approach
Spark
NoSQL
Dashboards (approx. 3 days)
Library: Dash
Structure of dashboards - Dash components
Customizing dashboards
Callbacks
Text Mining (approx. 1 day)
Data preprocessing
Visualization
Library: SpaCy
Project work (approx. 5 days)
To consolidate the content learned
Presentation of the project results
Big Data Specialist
What is Big Data? (approx. 1 day)
Volume, Velocity, Variety, Value, Veracity
Opportunities and risks of large amounts of data
Differentiation: business intelligence, data analytics, data science
What is data mining?
Introduction to Apache Frameworks (approx. 2 days)
Big data solutions in the cloud
Data access patterns
Data storage
MapReduce (approx. 3 days)
MapReduce philosophy
Hadoop Cluster
Chaining of MapReduce jobs
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Components (approx. 3 days)
Brief presentation of various tools
Data transfer
YARN applications
Hadoop JAVA-API
Apache Spark
NoSQL and HBase (approx. 3 days)
CAP theorem
ACID and BASE
Types of databases
HBase
Big Data Visualization (approx. 3 days)
Theories of visualization
Diagram selection
New types of diagrams
Tools for data visualization
Project work (approx. 5 days)
To consolidate the content learned
Presentation of the project results
SAP Consultant BW/4HANA - Application Associate - Reporting, Modeling and Data Acquisition with SAP BW/4HANA 2.x
Introduction (approx. 20 days)
First, you will get to know the SAP system landscape by choosing one of the following topics:
either:
Elective topic 1: SAP Financial Accounting (FI) and Controlling (CO)
S4H00 SAP S/4HANA overview
S4F10 Business processes in financial accounting
S4F20 Business processes in internal accounting (Controlling)
or:
Elective topic 2: SAP Materials Management (MM) and Sales and Distribution (SD)
S4H00 SAP S/4HANA overview
S4500 Business Processes Sourcing and Procurement
S4600 Business processes in Sales
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Your chosen topic is followed by the BW-specific SAP topics:
BW405 - Query Design and Analysis (approx. 10 days)
Introduction to SAP HANA and SAP BW/4HANA
Starting reports and navigating in reports
Simple queries
Key figures in queries
Structures in queries
Characteristics, attributes and hierarchies
Variables in queries
Exceptions and conditions in queries
Report-report interface
Query performance optimization
Query administration
Overview of authorizations
Overview of SAP Analytics
BW410 - Data Warehousing (approx. 10 days)
Introduction to SAP HANA
Master data in SAP Business Warehouse BW/4HANA
Transaction data in SAP BW/4HANA
Native modeling in SAP HANA
Open ODS Views
Advanced SAP BW/4HANA topics
BW430 - Data Modeling (approx. 15 days)
Challenges in data modeling
Overview: The business case
Modeling approaches in SAP BW/4HANA
Best practice standards in SAP BW/4HANA modeling
Modeling process
SAP BW/4HANA content add-on
Implementing field-based rapid prototyping for SAP BW/4HANA
Implementing models in SAP BW/4HANA
Implement native SAP HANA views
Implement agile data marts
Implementing SAP BW/4HANA Workspaces
Advanced Modeling in SAP BW/4HANA
BW450 - Data provision (approx. 10 days)
Data provision in SAP HANA
Overview of SAP BW/4HANA
Data provisioning in SAP BW/4HANA via the SAP HANA source system
Data provisioning in SAP BW/4HANA via Operational Data Provisioning (ODP_SAP)
Delta management in Operational Data Provisioning (ODP_SAP)
Data extraction from SAP S/4HANA in SAP BW/4HANA
Other types of operational data provisioning in SAP BW/4HANA
Manage and optimize data flow components in SAP BW/4HANA
Big data provisioning in SAP BW/4HANA and SAP Data Hub
Project work/case study, certification preparation and SAP consultant certification BW/4HANA (approx. 15 days)
Changes are possible. The course content is updated regularly.
You are proficient in the processes involved in merging, preparing, enriching and forwarding data and understand big data analysis using basic Python programming, SQL and NoSQL database concepts. Knowledge of industry-specific software for processing and structuring large, unstructured data and visualizing it rounds off your knowledge.
You will also have the necessary qualifications to provide your clients with comprehensive and competent support as an SAP BW/4HANA consultant. The course will enable you to use the SAP BW/4HANA technology platform to automate, evaluate and present company statistics in electronic form. Your professional profile will be enhanced by the SAP Consultant certification.
The course is aimed at people with a degree in computer science, business informatics, business administration, mathematics or comparable qualifications.
A systematic evaluation of data volumes is essential for companies in order to generate information about their own products and customer behavior. Against this backdrop, big data analysts are increasingly in demand across all industries.
You will also acquire the globally standardized and recognized SAP certificate. It is considered one of the most important manufacturer certifications in the IT sector and will improve your career prospects on the job market across all industries. Managers in the field of Business Warehouse are in demand from both large and medium-sized companies in industry, trade, services and finance. Your potential fields of activity lie in business and software consulting, development and business analysis and reporting
Training partner of SAP® Germany
In cooperation with the SAP training partner alfatraining Bildungszentrum GmbH, we will qualify you for a job in industry and business.
You are directly connected to the SAP® Germany servers and learn on the original SAP® training system (IDES) in the latest version. This gives you the necessary practical experience during the course.
All SAP consultant courses also conclude with the original SAP certification. Our SAP instructors are qualified SAP consultants who will provide you with intensive support and prepare you optimally for the certification exam.
Didactic concept
Your lecturers are highly qualified both professionally and didactically and will teach you from the first to the last day (no self-study system).
You will learn in effective small groups. The courses usually consist of 6 to 25 participants. The general lessons are supplemented by numerous practical exercises in all course modules. The practice phase is an important part of the course, as it is during this time that you process what you have just learned and gain confidence and routine in its application. The final section of the course involves a project, a case study or a final exam.
Virtual classroom alfaview®
Lessons take place using modern alfaview® video technology - either from the comfort of your own home or at our premises at Bildungszentrum. The entire course can see each other face-to-face via alfaview®, communicate with each other in lip-sync voice quality and work on joint projects. Of course, you can also see and talk to your connected trainers live at any time and you will be taught by your lecturers in real time for the entire duration of the course. The lessons are not e-learning, but real live face-to-face teaching via video technology.
The courses at alfatraining are funded by Agentur für Arbeit and are certified in accordance with the AZAV approval regulation. When submitting a Bildungsgutscheinor Aktivierungs- und Vermittlungsgutschein, the entire course costs are usually covered by your funding body.
Funding is also possible via Europäischen Sozialfonds (ESF), Deutsche Rentenversicherung (DRV) or regional funding programs. As a regular soldier, you have the option of attending further training courses via Berufsförderungsdienst (BFD). Companies can also have their employees qualified via funding from Agentur für Arbeit (Qualifizierungschancengesetz).