IT TRAINING

ERPMARK INC'S BUSINESS ANALYST / BUSINESS SYSTEM ANALYST TRAINING

  • Brainstorming
  • JAD (Joint Application Design)
  • Business data modeling
  • Entity Relationship Diagrams
  • Use Case diagrams
  • Work Flow Analysis
  • Activity Diagrams
  • Data Flow Diagrams
  • Decision Tables
  • Structured Testing principles and methods
  • Structured Walkthroughs
  • Black Box requirements-based testing including boundary value analysis
  • Systems testing (Regression, volume, stress, usability, performance tests)
  • Mapping Business Analysis tools to project development phases for waterfall and iterative methodologies
  • Object-Oriented (OO) tools for the Business Analyst, using UML 2
  • Use cases, Class diagrams

ERPMARK INC'S SAP TRAINING

  • SAP ABAP Programming W/EDI/ALE & BAPI
  • SAP FI/CO (Financial Accounting/Controlling)
  • SAP B/W (Business Information Warehouse)
  • SAP MM w/ WM (Materials Management with Warehouse Management)
  • SAP SD (Sales and Distribution)
  • SAP CRM (Customer Relationship Management)
  • SAP APO (Advanced Planner Optimizer)
  • SAP Netweaver (XI)
  • SAP Netweaver (Enterprise Portal 6.0)

ERPMARK INC'S JAVA TRAINING

  • Enterprise Foundations,
  • Modeling Components with JavaBeans,
  • Enterprise Data and JDBC,
  • Network and Web Communications,
  • CORBA, RMI, and DCOM Communications,
  • Naming, Directory, Trading, and Activation Services,
  • Messaging and Transaction Services,
  • Systems Assurance and Security,
  • Java's Security Features,
  • Enterprise Web Enabling,
  • Java Servlets and JavaServer Pages,
  • Enterprise Applications and Enterprise JavaBeans,
  • Advanced Enterprise JavaBeans and Application Integration,
  • User Interface and Servlet Design,
  • Struts and XML/XSL Web Interfaces,
  • Controller, Domain, and Data Mapping Design,
  • Unit and Functional Testing

ERPMARK INC'S DATAWAREHOUSE (DW) TRAINING

  • Dimensional Data Modeling (Subject Area, Star Schema & Snow Flake)
  • Transformations including Data Cleansing and Standardization.
  • Implementation Tricks and Techniques (DB Sizing, Performance Tuning, Capacity Planning, Infrastructure and Platforms in Data Warehouse).
  • DW Database Design (OLAP- MOLAP, ROLAP & HOLAP).
  • Decision Support System (DSS) / Executive Information System (EIS) / Executive Dashboards.
  • Data Marts (Star Schema, Cubes and Data Mining).
  • Meta Data Management and Critical Success Factors.
  • INFORMATICA Power Mart / Power Center.
  • COGNOS REPORTNET / BUSINESS OBJECTS.
  • Data Mining Primitives and System Architectures.
  • Analytical Characterization and Class Comparisons.
  • Data Mining Algorithms.
  • Predictive / Explanatory / Data Reduction models.
  • Mining Association Rules, Classification and Prediction.
  • SPSS Statistical Analysis tool.