Best Project Based 6 Weeks Data Warehousing Summer Training Institute

Best Project based 6 Weeks Summer Training on Data Warehousing
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APTRON has introduced live project based 6 weeks Data Warehousing summer training for engineering students imparting basic to advanced level of knowledge. It is the best summer training institute comprising of a team of best and industry experienced professionals as trainers for 6 weeks Data Warehousing summer training program. This further ensures that the students are in safer hands and under the best mentorship to enhance their skills. The Data Warehousing summer training course at APTRON has been structured by experts and is closely aligned to the industry requirements. Backed with 100% placement support in the top MNCs our 6 weeks Data Warehousing summer internship training is a perfect balance of both theory and practical hands-on experience on live projects.

Boasted with high-tech facilities, well-equipped infrastructure, advanced labs, libraries etc. with 24x7 access provides an excellent learning environment for the 6 weeks Data Warehousing summer training based on live projects. The Data Warehousing summer training opens up vast career options for the students and is ideal for 1st/2nd/3rd/4th year engineering students and aims at expanding their horizons and enhancing skills in order to transform themselves into industry-ready professionals.

The rivalry for the acquisition of jobs in various MNCs requires the students to have mental elasticity with a creative mindset and the 6 weeks Data Warehousing summer training course encourages the learners to create, invent or discover something valuable. APTRON is the best 6 weeks Data Warehousing summer training institute that provides optimal exposure to the students helping them develop their brain accordingly at a reasonable summer training fees.

APTRON is the largest 6 weeks Data Warehousing summer training centre and multiple summer training batches are conducted throughout the day both in the weekdays and weekends making it easier for the students to choose the batch as per their convenience. In addition to this, the institute also provides Fastrack Data Warehousing summer training course. Such type of rigorous 6 weeks Data Warehousing summer internship training introduces the students with the real-time work environment and the mandatory placement training prepares them to face the real-world challenges during the job interview. The Data Warehousing summer training course duration, as well as batch timings, show perfect coordination with your summer vacation and hence you can utilize your time in the best way.

APTRON's Project-based 6 Weeks Summer Training in data warehousing Covers the Following Modules

Summer Training in Data Warehousing is a modular 6 weeks course, regularized over 5 days a week, 2 hrs a day, and exclusively includes practical sessions. The course curriculum of Summer Training in data warehousing comprises:

    Module 01: DATA WAREHOUSING INTRODUCTION TO DATA WAREHOUSING

  • Difference between Transaction and warehose data
  • Data warehouse Architecture
  • Logical and physical Design
  • Difference between Data warehouse and Data Mart
  • Source Data , staging Data and target Data
  • Operational data source (ODS )
  • OLAP . ROLAP , MOLAP
  • Star schema , star flake schema and snow flake schema
  • Normalizatin and De-normailzation
  • Meta data and mining
  • Module 02: Entity – Relation Model (E-R Model for transactional database

  • Defining entities and their relationship
  • Distribution of attributes under entities
  • Normilization of entities
  • Modeling logical E-R Model using E-R win tool
  • Conversion of logical model into physical model
  • Application of Business Rules
  • Constraints , triggers , Domains , Back-end programs , etc
  • Two case studies
  • Module 03: DIMENSIONAL MODEL (STAR SCHEMA ) FOR DATA WAREHOUSE

  • Defining dimension and measures
  • Defining level and Hierarchies
  • Granularty of Data
  • Introducing snow flake schema
  • Dimensional table and fact table
  • Fact less fact table
  • Additive , semi – additive and non-additive facts
  • Many –To- Many Dimesions
  • Two case studies
  • Module 04: ETL (EXTRACT , TRANSFORM & LOAD ) PROCESSES USING INFORMATICA

  • Informatica Server setup
  • Repository manager : Repository creation Deletion , backup & restore
  • Repository manager : Multiple Repository , Multiple Folders
  • Repository manager : Folder Creation , Deletion and privileges Setup
  • Repository manager : User , group & Privileges Management
  • Designer: Defining Source from RDBMS , Semi –RDBMS ,Flate File , XML File , Cobol File
  • Designer : Defining Target for Staging Database & for Data warehouse .
  • Designer : Creating Multi –Dimensional Cubes
  • Designer : Transformation Developer for Reusable User – Defined transformation
  • Designer : Mappletes for reusable User –Defined Mappings
  • Designer : Mapping to apply Transformation using 14 Transformation
  • Designer: Global referencing of object across Folders * Repositories
  • Designer : Data staging
  • Server Manager : Setting up server for Repository
  • Server Manager : Creating session and Batches
  • Server Manager : Schudling session and Batches
  • Server Manager : Monitoring Sessions and Batches for data loading
  • Server Manager : Troubleshooting Data loading Erros
  • Module 05: AB-INITIO

  • Introduction
  • Hardware Platforms
  • Products of Abinitio s/w Corporation
  • Feature of Abinitio
  • Building a Basic Abinitio Graphs
  • Case – Study
  • Multi-File System / Multifile Directory
  • Types of parallelism
  • Testing Abinito Graphs
  • EME ( Enterprise meta › Environment )
  • Project
  • Sandbox
  • Module 06: OLAP & PRESENTATION USING COGNOS 8 BI

  • Introduction of Data Warehousing process
  • Detailed explanation about O.L.T. P System
  • Explanation of DWH Life Cycle
  • Detailed explanation of OLAP Life cycle
  • Detailed explanation of COGNOS 8 BI Architecture
  • Types of OLAP's
  • Detailed explanation of Dimensional Modeling
  • Detailed explanation of STAR and SNOW FLAKE SCHEMA
  • Detailed explanation Classes and variables
  • Detailed explanation of D.I WEB.I Bussiness intelliegence and tools.
  • Data mining concepts , model concepts
  • Module 07: CREATING PACKAGES AND MODELS BY USING COGNOS 8 FRAME WORK MANAGER

  • Cognos 8 BI Framwork Manager : Designing Metadata Models
  • Cognos 8 BI Transformer : Designing OLAP Models 4 day
  • Cognos 8 BI Data manager : Building Data marts with Enterprise Data
  • Publishing Packages
  • Generating simple and ad –hoc reports using Cognos8 BI tools
  • Module 08: GENERATING REPORTS WITH QUERY STUDIO

  • Cognos 8 BI Cognos Connection for Consumers
  • Cognos 8 BI Query Studio : Building Ad – hoc Reports
  • Cognos 8 BI Analysis Studio : Analyzing Data
  • Cognos 8 BI Report Studio : Authoring statement style Reports in Express Authoring Mode
  • Cognos 8 BI Analysis for Excel : Analyzing Data in Microsoft Excel
  • Module 09: GENRATING REPORTS WITH REPORT STUDIO

  • Cognos 8 BI Report Studio : Authoring Proffessional Reports
  • Cognos 8 BI Report Studio : Authoring Reports with Multidimensional Data
  • Cognos 8 BI Report Studio : Introduction
  • GENERATING REPORTS WITH EVENT STUDIO
  • GENERATING REPORTS WITH ANALYSIS STUDIO
  • GENERATING CHARTS AND MULTI DIMENSIONAL REPORTS USING COGNOS 8 BI SUITE
  • PUBLISHING REPORTS ANALYSIS AND REVIEW
  • Supervisor : Creating repository and Supervisor
  • Supervisor : Database Conections.
  • Supervisor : Defining Groups and Users
  • Supervisor : Defining privileges and profiles for users
  • Supervisor : Broadcast Agents
  • Supervisor : Scheduling users Connections Sessions
  • Designer : Creating and maintaining Universe
  • Designer : Defining tables & columns as Class and objects
  • Designer : Creating and Maintaining measures
  • Designer : Defining relations , formulas , etc
  • Business objects: Defining Query , reports type
  • Business objects:formatting reports
  • Business objects:slicing & dicing reports
  • Business objects: drill- down , drill –up Reports
  • Business objects: filtering records , Grouping Records , etc

6 Weeks Based Projects List in data warehousing Technologies

  • Web Data Mart Informatica Project Abstract
  • Data Mining Projects Reports
  • Online banking support and Mobile Banking Java Project
  • Daily Sales Reporting Data Warehousing Project
  • Global Sales Data Mart Cognos project
  • Healthcare Hospital system Data Warehousing Cognos Project

APTRON Project Based 6 Weeks Trainig Course duration for data warehousing Technologies

  • Fast Track Training Program (6+ hours daily)
  • Regular Classes (Morning, Day time & Evening)
  • Weekend Training Classes (Saturday, Sunday & Holidays)


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