Training
At Global IT Solutions Inc, getting the right edge to skills and technical acumen is a priority. Because everyday in our business, our professionals need to meet rigorous demands from clients and keep pace with the rapidly changing technologies.
To this end, we have invested in a state of the art training facility that can combine modern methodologies, professional instructors and latest tools to deliver the best value to our clients.
Technologies for which we offer Training:
Datawarehousing Tools.
- Ascential DataStage.
- Business Objects - Data Integrator.
Business Intelligence Tools
- Business Objects – Reporting.
- MicroStrategy.
SAP
- SAP Business Warehousing.
QA Tools
QA Automated tools:
- Win Runner, Load Runner
- Test Director
- Full Quick Test Professional (QTP)
- Rational Test Manager
Others:
- Software QA processes
- QA Life cycle
- Creating Test Cases, Plans and Scripts
- Testing ( Manual, Automated, Unit,
- Integration, Regression, Black Box etc)
- QA Methodologies - Waterfall, Agile and V-MODEL
- SQA Standards
- QA/QC Difference,
- Verification/Validation
Common Technologies in Training along with above:
Database
- Oracle
- Teradata
Basic Topics
- UNIX
- Mainframes
- Software Development Life Cycle
- Requirements Gathering Process
- Documentation and Standards used in Projects
- Data Modeling
- Other Tools used in Project Development Environment
- Miscellaneous
Data warehouse / Ascential DataStage (ETL – Tool):
- OLTP
- OLAP (ODS, DW, DM)
- Database objects
- Normalization forms
- Constraints
- SQL
- DDL
- DML
- DCL
- Other Functions
- PLSQL
- PLSQL Block
- Data types
- Procedures
- Functions
- Packages
- Parallelism
- Data Partitioning
- DS-Server / Parallel tool
- Designer
- Manager
- Director
- Administrator
- Server Stages
- Parallel Stages
- Sequencer Stages
- Shared Containers
- DS-Jobs – development
- DS Jobs in Real Time Environment
- Basic / DSjob – Commands
- DS-Universe
- Development Standards
- Best Practice's
- Identifying Dimensions, Facts from source data.
- Creating Dimension datamodel.
- Creating Database for datawarehouse.
- Developing ETL jobs using Datastage.
- Loading Datawarehouse from different sources.
Datawarehousing basics
Types of Systems
Introduction to Data modeling for Data warehouse.
ER – Modeling
Dim – Modeling
Conceptual Data Model
Logical Data Model
Physical Data Model
STAR schema
Snowflake schema
Database concepts
RDBMS
ETL – Tool (Ascential DataStage)
Introduction to ETL procedures.
Datastage Architecture for Parallel
DS Routines & Functions
Project Work
Training
- Datawarehousing Nov 17 - 2012
- Oracle Nov 18 - 2012
- PL/SQL Dec 8 - 2012
- SAP Dec 1 - 2012
- Testing Dec 1 - 2012
- Datawarehousing Nov 17 - 2012
- Oracle Nov 18 - 2012
- PL/SQL Dec 8 - 2012
- SAP Dec 1 - 2012
- Testing Dec 1 - 2012
Our Clients
- Ford Motor Company
- General Motors Corporation
- Verizon
- Blue Cross Blue Shield
- TIAA
- Trans Atlantic Systems
- MetLife
- Walgreens
- WIPRO
- TCS