DataWarehouse

A data warehouse, also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis. DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data and are used for creating analytical reports for knowledge workers throughout the enterprise. Examples of reports could range from annual and quarterly comparisons and trends to detailed daily sales analyses.

JMicro Technologies trainings in association with industry experts provides quality trainings to professionals.

COURSE OBJECTIVE

  • data integration: ETL, information lifecycle management, B2B data exchange, cloud data integration, complex event processing, data masking, data quality, data replication, data virtualization, master data management, ultra messaging.

WHO SHUOLD DO THIS COURSE

Database professionals, IT managers. Software developers, any IT professionals with an urge to learn Warehouse can do this course

Prerequisite: -

Basic understanding of database management system & BI

  • Introduction to DataWarehouse
  • Who needs Data warehouse
  • Why Data warehouse is required
  • Types of Systems
  • OLTP
  • DSS
  • Maintenance of Data warehouse
  • Data warehouslng Life cycle
  • Data warehousing Testing Ute Cycle
  • Source
  • Data warehousing Architecture
  • Integration Layer
  • Staging Area
  • Targets
  • Analysis & Reporting
  • HPQS
  • Introduction
  • Data Modelling
  • Different Phases of ModellIng
  • What Is a Dimension
  • Multi Dimensional Modelling
  • What are Facts
  • Multi Dimensional Model
  • Hierarchies
  • OLAP
  • MOLAP
  • ROLAP
  • HOLAP
  • Cubes and its Functions
  • Star Schema
  • Fact Table
  • Dimensional Tables
  • Snow flake Schema
  • Fact less Fact Table
  • Confirmed Dimensions
  • Data Modelling Tools
  • Forward Engineering
  • Reverse Engineering
  • Update Model, Alter database

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