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SAP FICO is a combination of SAP FI and SAP CO. The SAP FICO full form suggests SAP FI as SAP Financial Accounting and SAP CO as SAP Controlling. FICO is majorly used to evaluate and monitor the financial condition of a business. SAP FI signifies the features of financials and SAP CO features the Managerial and Cost Controlling.

we offer online training for SAP FICO with certified experts. You can attain knowledge and strengthen your fundamentals in General Ledger, Cash & Bank Accounting, Ledger Accounting, Asset Accounting, Accounts Payable, Master Records, and other advanced topics in SAP FICO.

SAP FICO is one of the most fundamental certifications which verifies that the candidate possesses requisite knowledge and skills needed in SAP Financial Accounting.

SAP FICO is broadly divided into two modules. SAP FI (Financial Accounting) & SAP CO (Controlling). These two modules are tightly coupled with each other. Where SAP FI holistically monitors company financials, SAP CO is responsible for delivering cost accounting.

Module List

  • Introduction to SAP R/3
  • Financial Accounting Basic Settings
  • General Ledger Accounting
  • Accounts Payable
  • Accounts receivable
  • Asset Accounting
  • New General ledger accounting
  • Reports
  • Controlling
  • Product costing
  • Integration

SAP FICO Course Details

    Modern business applications request support for easy to use interfaces to modify, store, and query data graphs with in the database management system. Graph abstraction layer in the SAP HANA database gives an imperative approach to co-operate with graph data stored in the database by showing graph concepts, like vertices and edges, straight to the application developer. Its programming border is called as a Graph API, can be used by the application layer through remote procedure calls.

    The graph abstraction layer allows creating a new graph by identifying minimal database schema information, like as an edge store name, a vertex in- store name, and a vertex identifier in description.

    An existing graph can be unlocked by specifying the edge store and also the vertex store of the graph. All that are missing information, such as like the edge description, are routinely collected from the store metadata.

    Vertices and edges are signified by light weight objects that perform as an abstract representative of the object that has been stored in the database. The objects in the graph abstraction layer which only point to the actual data of the object and make them to hold the internal state during processing of the object. If the graph abstraction layer performs a function call that requests data from the object, which gets loaded on demand.

    Vertices can be assigned with multiple properties. These properties can be used for the usage of filter vertices. Example: Graph traversal operations.

    In the same way, properties on limits can be leveraged to choose some of the possible paths to track in graph traversal.

    Well-organized support for extensible and configurable graph traversals on big graphs is a core asset for business applications to be able to implement modified graph algorithms on top of the Graph API. The SAP HANA database delivers native and extensive support for traversals on big graphs on the basis of a graph traversal operator implemented directly in the database kernel.

Training Advantages
35 contact hours
Industry Case Studies
Industry case studies
Real time training


    The SAP HANA database is located as the core of the SAP HANA Appliance to maintain complex business analytical processes in combination with transitionally consistent operational workloads.

    • Multiple engine query processing environment
    • Demonstration of application specific business objects
    • Exploitation of current hardware improvements
    • Well-organized communication with the application layer

    SAP HANA uses a hybrid structure which enables it to process together transactional workloads and analytical workloads fully in-memory.

    The SAP HANA platform supports natively data import through flat files and the access to respective tables and visions by using the Open Data Protocol (OData).