Anybody can take up this course without the need for any specific skill sets. However, having a basic knowledge of SQL can help.
The SAP Business Intelligence software is a very useful data extraction, aggregation and reporting tool. It can work with SAP applications as well as other external data sources. Today there is a need for Business Intelligence and Data Warehousing professionals in multiple areas like sales, marketing, IT, operations and so on. Hence this training and ensuing certification can help you grab the best jobs in the industry.
Introduction to SAP, the SAP architecture, understanding the SAP BI landscape, understanding the SAP BI/BW, overview of SAP BW Works, the description of BW works model, understanding PSA data sources, data transfer process, Char and Key Figure Model.
Understanding the data warehousing module, ETL and Reporting, introduction to data warehousing work bench, complete SAP BW Architecture, concepts, and description.
Introduction to SAP BW data modelling, understanding the source system, learning about SAP Source and Non SAP Source, PSA Info Providers like cubes, info, char, do modelling.
Learning about the SAP BW Data Transformation, and Scheduler, extracting data from flat files to SA P BW, changing data sources, difference between internal and external sources, editing info object catalog, creating and working with meta data of target, creating of company application, and working with Scheduler.
Hands-on Exercise – Extract data from flat files to SAP BW, change data sources, edit info object catalog, create and work with meta data of target, create company application, deploy a scheduler.
Understanding of SAP BI/BW data schema, understanding Master Data Table, learning about Extended Star Schema, master data load, attribution of master data, hierarchies and text of master data.
Hands-on Exercise – Work on SAP BI/BW data schema and Master Data Table, Create Extended Star Schema, Edit attribution of master data, hierarchies and text of master data
Understanding the SAP BW info providers, introduction to data store object, designing and working with standard data store object, editing and displaying data store object, loading of data in DSO as an info provider, display and change transformation in DSO.
Hands-on Exercise – Design and working with standard data store object, edit and display data store object, load data in DSO as an info provider, display and change transformation in DSO
Functionality of DSO, advantages, drawbacks and creation of DSO.
Hands-on Exercise – Create a DSO.
Understanding the concept of write-optimized data store objects, learning to create write-optimized data store objects, the basic characteristics and rules.
Hands-on Exercise – Create write-optimized data store objects, set rules
Introduction to Infoset, a specific kind of Info providers, learning about the rules of Infoset, deploying Infoset for data modelling, the Join Concept and knowing when to use Infoset.
Hands-on Exercise – Deploy Infoset for data modelling, Use Join
Understanding the multidimensional data structure, the various types of info cubes, creating a standard info cube, characteristics and key features, the most important rules for designing an info cube, understanding Star Schema, Extended Star Schema and fact tables.
Hands-on Exercise – Create a standard info cube, set characteristics and key features, create star schema and fact tables.
Introducing the concept of Multi provider, combining data from various info providers, the rules of updating, learning about Virtual and Hybrid providers.
Hands-on Exercise – Combine data from various info providers, Set the rules of updating, work with virtual and hybrid providers
Understanding the concept of routines in transformation, local ABAP classes, learning about the Data Transfer Process, troubleshooting techniques, process chain and business content in BI.
Hands-on Exercise – Use ABAP classes, Perform a data transfer
Learning about Data Extraction in BW, extracting data from various tables in BW, learn how to extract data from R/3 systems to BI, various types of SAP extracts – cross-application, application-specific, creating a generic data source and standard extraction procedure, creating BI Side Info Package.
Hands-on Exercise – Extract data from a table in BW, Extract data from R/3 systems to BI, Create a generic data source, Create BI Side Info Package
Introduction to Logistics Cockpit data extraction, the standard extract procedure, the various concepts like event, delta initialization and extraction, the methods and modes of update, understanding Delta Queue, setup table and LUV.
Hands-on Exercise – Extract data using Logistics Cockpit, Perform standard extract procedure, Handle events, Initialize delta, Update data, Create a delta queue, setup a table
Introduction to CO-PA Extractor, working with COPA data source, delta mechanisms, challenges faced while extracting data during implementation.
Hands-on Exercise – Work with COPA data source, Use delta mechanisms, Extract data during implementation
Introduction to SAP BW Reporting, understanding the Business Explorer, BEx query designer, the query designer panel, standard tool bar, the various query elements, query properties, filter in query designer.
Hands-on Exercise – Design a query using BEx query designer, Use standard tool bar to create a query using various query elements, Change query properties and use filters
Learning about the SAP BW restrictions and exceptions, defining exceptions in BEx query designer, restricting characteristics to single value, hierarchy nodes, or value variables, understanding conditions, exceptions, restricted key figures, structure, new selection and formula.
Hands-on Exercise – Define SAP BW restrictions and exceptions, define exceptions in BEx query designer, Restrict characteristics to single value
Project – BExAnalyzer
Learning about BExAnalyzer, analytical, reporting and design tool, performing drill down operations, applying filter on tables, table to chart format conversion, workbook and reporting broadcast.
This training is designed to clear the following certification exams:
The entire course content is in line with the certification program and helps you clear the certification exam with ease and get the best jobs in top MNCs.
As part of this training, you will be working on real-time projects and assignments that have immense implications in the real-world industry scenarios, thus helping you fast-track your career effortlessly.
At the end of this training program, there will be quizzes that perfectly reflects the type of questions asked in the certification exam and helps you score better marks.
Intellipaat Course Completion Certificate will be awarded upon the completion of the project work (after the expert review) and upon scoring at least 60% marks in the quiz. Intellipaat certification is well recognized in top MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.
This Intellipaat SAP BI/BW training will let you master the powerful SAP Business Intelligence tool used by some of the biggest enterprises on earth. You will gain full proficiency in learning SAP architecture, SAP BW modeling, data extraction and the SAP BW data schema. This entire course content is in line with the requirements of clearing the SAP BW 7.3 and SAP BI 4.0: SAP Certified Application Professional Exam, C_HANA IMP142: SAP Certified Application Associate Exam and C_BO BI P_40: SAP Certified Application Associate Exam.
You will be working on real-time SAP BI/BW projects and step-by-step assignments that have high relevance in the corporate world, and the course curriculum is designed by industry experts. Upon the completion of the training course, you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 support and course material upgrading to the latest version at no extra fee. Hence, it is clearly a one-time investment.
No, this course is not officially accredited by SAP.
Training in Cities: Bangalore, Hyderabad, Chennai, Delhi, Kolkata, UK, London, Chicago, San Francisco, Dallas, Washington, New York, Orlando, Boston