<blockquote id="ad0y4" ></blockquote>

<blockquote id="ad0y4" ><meter id="ad0y4" ></meter></blockquote>

  • <source id="ad0y4" ></source>
  • <nobr id="ad0y4" ></nobr>

        <noscript id="ad0y4" ></noscript>
        <dl id="ad0y4" ><ins id="ad0y4" ><listing id="ad0y4" ></listing></ins></dl>

        <progress id="ad0y4" ><ol id="ad0y4" ></ol></progress>
      1. <dfn id="ad0y4" ></dfn>
          <optgroup id="ad0y4" ><dfn id="ad0y4" ><span id="ad0y4" ></span></dfn></optgroup>

          RKG Logo training-ITBiz
          RKG Logo
          幸运彩票手机版官网 Courses Fees Schedule REGISTER NOW Corporate Training Locations
          Microsoft Office Tools
          Adobe Acrobat Courses
          SharePoint Training
          Microsoft Dynamics
          Social Media Courses
          Project Management
          Application Devp Tools
          Oracle Developer Tools
          Data Warehouse & BI
          Data Base & System Admin
          Programming Languages
          Reporting Tools
          Networking & Security
          Web Technologies
          Medical Records
          Business Skills
          ERP Training
          Corporate Training On-Site
          Data Warehousing
          Data Warehousing Fundamentals
          Data Warehousing & Data Modeling - Fundamentals
          Software Version 10.0
          Course Duration 2 Days
          Course Type Class Room and Instructor-Led On-Line (E-Learning) Hands-On Training
          Course Overview In this course, students study the issues involved in planning, designing, building, populating, and maintaining a successful data warehouse. Students learn the reasons why data warehousing is a compelling decision-support solution in today's business climate. This course also covers the Data Warehouse and Business Intelligence.
          Intended Audience for this course This course is designed for those who have technical background, knowledge with any computer language, Java, XML, .NET Developers, ERP Developers, DBAs, Application Technical Consultants, Business Analysts, Project Managers and Students who want to become IT Professionals.
          Course Topics
          Business Intelligence and Data Warehousing
          • The road map to Business Intelligence (BI)
          • Data warehouses compared with Online Transaction Processing (OLTP)
          • Management information systems and decision support systems (DSS)
          • Business drivers for data warehouses
          • Typical uses of a data warehouse
          Defining Data Warehouse Concepts and Terminology
          • Common data warehouse definitions
          • Data warehouse properties and characteristics
          • Warehouse development approaches
          • Components of data warehouse design and implementation
          • Components of a data warehouse
          • Data warehouse compared with data mart
          • Dependent and independent data marts
          Planning and Managing the Data Warehouse Project
          • Managing financial issues
          • Obtaining business commitment
          • Gathering business and user requirements
          • Evaluating the warehouse project
          • Implementation processes and requirements
          Modeling the Data Warehouse
          • Data warehouse database design phases
          • Defining the business model
          • Choosing the architecture
          • Creating the dimensional model
          • Using time in the data warehouse
          • Using summary data
          • Query rewrite
          • Creating the physical model
          Building the Warehouse - Extracting Data
          • Extracting, transforming, and loading data
          • Examining data sources
          • Extracting data
          • Extraction techniques
          Building the Data Warehouse - Transforming Data
          • Transformation
          • Transforming data: problems and solutions
          • Resolving quality data issues
          • Transformation techniques
          • Transformation tools
          Building the Data Warehouse - Loading Warehouse Data
          • Loading data into the warehouse
          • Building the loading process
          • Loading the data
          • Post-processing of loaded data
          • Verifying data integrity
          Refreshing Warehouse Data
          • Capturing and applying changed data
          • Batch load requirements
          • Limitations of methods in applying change
          • Purging and archiving data
          Leaving a Metadata Trail
          • Defining warehouse metadata
          • Developing a metadata strategy
          • Examining types of metadata
          • Metadata management tools
          • Common warehouse metadata
          Managing the Data Warehouse
          • Managing the transition to production
          • Managing growth
          • Managing backup and recovery
          • Identifying data warehouse performance issues

          Enroll Online   

          Live Chat
          Enroll Online
          Enroll By Fax
          Fee & Schedule
          Send Message
          Follow us on .....
          For further information call 949-387-3772 or FAX 949-681-8247 or email to info@
          SONU Training is the training wing of RKG Technologies Inc
          Disclaimer: RKG Technologies is not linked with Microsoft, Oracle, Adobe, IBM or any other software company we provide training
          幸运彩票手机版官网 © 2004 RKG Technologies Inc. All rights reserved.