Tags
Language
Tags
October 2025
Su Mo Tu We Th Fr Sa
28 29 30 1 2 3 4
5 6 7 8 9 10 11
12 13 14 15 16 17 18
19 20 21 22 23 24 25
26 27 28 29 30 31 1
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Data Warehousing OLAP and Data Mining

    Posted By: Book-er
    Data Warehousing OLAP and Data Mining

    S. Nagabhushana "Data Warehousing OLAP and Data Mining"
    New Age International | English | 2009 | ISBN: N/A; EAN: 9788122417647 | 350 pages | PDF | 1,7 MB


    This book is mainly intended for IT students and professionals to learn or implement data warehousing technologies. It experiences the real-time environment and promotes planning, managing, designing, implementing, supporting, maintaining and analyzing data warehouse in organizations and it also provides various mining techniques as well as issues in practical use of Data Mining Tools.

    The book is designed for the target audience such as specialists, trainers and IT users. It does not assume any special knowledge as background. Understanding of computer use, databases and statistics will be helpful.

    About the Author(s):
    Nagabushna Sujihal was born at Bellary in the year 1982 and completed his primary education at National School, Bangalore. He had his Engineering graduation in Electronic and Communication Engineering from Bellary Engineering College, affiliated to Visveswaraih Technological University, Belgaum, Karnataka in the year 2003. Soon after his degree in Engineering, he joined teaching profession at Intell Engineering College, Anantpur, Andhra Pradesh. At present, he is perceiving his post-graduation at Sathayabhama Deemed University, Chennai in Computer Science Engineering.

    Contents:
    VOLUME I: DATA WAREHOUSING IMPLEMENTATION AND OLAP

    PART I: INTRODUCTION The Enterprise IT Architecture
    Data Warehouse Concepts
    PART II: PEOPLE The Project Sponsor
    The CIO
    The Project Manager
    PART III: PROCESS Warehousing Strategy
    Warehouse Management and Support Processes
    Data Warehouse Planning
    Data Warehouse Implementation
    PART IV: TECHNOLOGY Hardware and Operating Systems
    Warehousing Software
    Warehouse Schema Design
    Warehouse Metadata
    Warehousing Applications
    PART V: MAINTENANCE, EVOLUTION AND TRENDS Warehouse Maintenance and Evolution
    Warehousing Trends
    PART VI: ON-LINE ANALYTICAL PROCESSING Introduction
    OLAP Application
    VOLUME II: DATA MINING Introduction
    Data Mining with Decision Trees
    Data Mining with Association Rules
    Automatic Clustering Detection
    Data Mining with Neural Network

    To start download free click HERE:




    No another mirrors, please! >>> Read RULES