Data warehouse & Data Warehousing

Download Data warehouse & Data Warehousing

Post on 07-Mar-2016

215 views

Category:

Documents

2 download

Embed Size (px)

DESCRIPTION

คลังข้อมูล และการคลังข้อมูล

TRANSCRIPT

<ul><li><p>Data Warehousing</p><p>Company LOGO</p><p> 1 (Data warehouse and Data Warehousing)</p></li><li><p>Contents</p><p>1</p><p>2</p><p>3</p><p>COMPANY LOGO2</p><p>3</p><p>4</p><p>5</p></li><li><p>COMPANY LOGO3</p></li><li><p>COMPANY LOGO4</p><p> (operational database) </p><p>transaction system </p></li><li><p> (operational database) </p><p>- - </p><p>COMPANY LOGO5</p><p>- - query - </p></li><li><p> 8 </p><p>1. </p><p>COMPANY LOGO6</p><p>1. ?</p><p>2. </p><p>3. </p></li><li><p>4. </p><p>5. </p><p>COMPANY LOGO7</p><p>6. </p><p>7. </p><p>8. </p></li><li><p> Kimballs Definition of a Data Warehouse</p><p>A data warehouse is a copy of </p><p>COMPANY LOGO8</p><p>transactional data specifically </p><p>structured for querying and </p><p>analysis</p></li><li><p> (Data warehouse)</p><p> (Data Warehouse) </p><p> operational database</p><p> external database</p><p>COMPANY LOGO9</p><p> external database</p><p>(Historical Data) </p><p> (Multidimensional Analysis / OLAP)</p><p> (Data Mining)</p></li><li><p> (Data warehouse)</p><p>1. Subject oriented </p><p>COMPANY LOGO10</p><p>1. Subject oriented </p><p>2. Integration</p><p>3. Time-variant</p><p>4. Non-volatile</p></li><li><p> (Data warehouse)</p><p>1. Subject oriented </p><p> Report </p><p>COMPANY LOGO11</p></li><li><p> (Data warehouse)</p><p>2. Integration</p><p>COMPANY LOGO12</p></li><li><p> (Data warehouse)</p><p>App A m,f</p><p>App B 1,0</p><p>App C x,y</p><p>App D male,female</p><p>encodingm,f</p><p>Attribute measurement</p><p>COMPANY LOGO13</p><p>App A cm</p><p>App B inches</p><p>App A description</p><p>App B description</p><p>App C description</p><p>App A key char(10)</p><p>App B key 99999</p><p>App C key char(12)</p><p>Attribute measurementcm</p><p>Multiple Sources</p><p>? description</p><p>char(12)</p><p>Conflicting Keys</p></li><li><p> (Data warehouse)</p><p>3. Time-variant</p><p> (Historical Data) </p><p>COMPANY LOGO14</p><p> (Database) </p><p> (Online Transaction Process : OLTP)</p></li><li><p> (Data warehouse)</p><p> 60-90 </p><p> 5-10 </p><p>COMPANY LOGO15</p><p>OLTP: Online Transaction Processing</p><p>OLAP: Online Analytical Processing</p></li><li><p> (Data warehouse)</p><p>4. Non-volatile </p><p>()</p><p> OLTP </p><p>COMPANY LOGO16</p><p> OLTP (Update), (Delete) </p><p>** (Insert) (Retrieve) </p></li><li><p> (Data warehouse)</p><p>isrt chng</p><p>COMPANY LOGO17</p><p>isrt</p><p>dlet</p><p>dlet</p><p>chng</p><p>access</p><p>load</p><p>access</p></li><li><p> (Data warehousing)</p><p> (Data Warehousing) </p><p> (Data Warehouse) </p><p> Data warehouse, , </p><p>COMPANY LOGO18</p><p> Data Warehousing </p><p> Data Acquisition ()</p><p> Data Staging ()</p><p> Data Store ()</p><p> Data Provisioning ()</p></li><li><p> (Data warehousing)</p><p>Data </p><p>Resources</p><p>Data </p><p>Staging</p><p>Data Store Data</p><p>Provisioning</p><p>COMPANY LOGO19</p><p>Data Acquisition</p></li><li><p> (Data warehousing)</p><p> Data Acquisition ()</p><p> Data Resource Data Warehouse Data Staging </p><p>COMPANY LOGO20</p><p>Data Acquisition</p></li><li><p> (Data warehousing)</p><p> Data Staging ()</p><p> (Cleansing) (Filtering) </p><p>COMPANY LOGO21</p><p>Data Acquisition</p></li><li><p> (Data warehousing)</p><p> Data Store ()</p><p> Cleansing Filtering Data Warehouse </p><p>Data Warehouse Database</p><p>COMPANY LOGO22</p><p>Data Warehouse Database</p></li><li><p> (Data warehousing)</p><p> Data Provisioning ()</p><p>COMPANY LOGO23</p></li><li><p>ReportGenerator</p><p>Data Mining</p><p>COMPANY LOGO24</p><p>OLAPGenerator</p><p>Data Warehouse</p><p>Data MiningTools</p></li><li><p>COMPANY LOGO25</p><p>Query and ReportMultidimensional</p><p>Data AnalysisData Mining</p></li><li><p> OLTP </p><p>COMPANY LOGO26</p><p> RDBMS RDBMS</p><p> Normalized Dimensional</p><p> run </p><p>Historical , descriptive , read only non-volatile clean </p></li><li><p>- </p><p>- </p><p>- </p><p>- </p><p>- </p><p>COMPANY LOGO27</p><p>- </p><p>- </p><p>- </p><p>- </p></li><li><p>Do you have any Question ??</p><p>Company LOGO</p></li><li><p>Homework</p><p>1. (Data Warehouse)</p><p>2. (Data Warehouse) </p><p>3. (Data Warehouse)</p><p>4. Data Warehousing</p><p>COMPANY LOGO29</p><p>4. Data Warehousing</p><p>5. (Data Warehouse) </p><p>6. 3 </p></li></ul>