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Data Warehousing Hu Yan  [email_address]
 Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 What is data warehousing? ,[object Object],[object Object],[object Object],[object Object]
 What is data warehousing? ,[object Object],[object Object],[object Object],[object Object]
 The benefits of data warehousing ,[object Object],[object Object],[object Object]
 The difference bewteen OLTP and data warehousing ,[object Object],[object Object]
comparision of OLTP systems and data warehousing system Holds historical data Stores detailed, lightly, and highly summarized data Data is largely static Ad hoc, unstructured, and heuristic processing Medium to how level of transaction throughput Unpredictable pattern of usage Analysis driven Subject-oriented supports strategic decisions Serves relatively how number of managerial users Hold current data Stores detailed data Data is dynamic Repetitive processing High level of transaction throughput Predictable pattern of usage Transaction-driven Application-orented Supports day-to-day decisions Serves large number of clerical/operation users Data warehousing systems OLTP systems
 Problems ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 The architecture Operational data source1 Query Manage Warehouse Manager DBMS Operational data source 2 Meta-data High summarized data Detailed data Lightly summarized data Operational data store (ods) Operational data source n Archive/backup data Load Manager Data mining OLAP(online analytical processing) tools Reporting, query, application development, and EIS(executive information system) tools End-user access tools Typical architecture of a data warehouse Operational data store (ODS)
 The main components ,[object Object],[object Object]
 The main components ,[object Object],[object Object]
 The main components ,[object Object],[object Object],[object Object],[object Object]
 Data flows ,[object Object],[object Object],[object Object],[object Object],[object Object]
Operational data source1 Warehouse Manager DBMS Meta-data High summarized data Detailed data Lightly summarized data Operational data store (ods) Operational data source n Archive/backup data Load Manager Data mining tools OLAP (online analytical processing) tools End-user access tools Information flows of a data warehouse Reporting, query,application development, and EIS (executive information system) tools Downflow Inflow Meta-flow Upflow Query Manage Outflow Warehouse Manager
 Tools and Technologies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 Data Warehouse DBSM(integration) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 The importance of managing meta-data(integration) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
 Administration and Management Tools ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 Data mart ,[object Object],[object Object],[object Object]
[object Object],[object Object]
Operational data source1 Warehouse Manager DBMS Operational data source 2 Meta-data High summarized data Detailed data Lightly summarized data Operational data store (ods) Operational data source n Archive/backup data Load Manager Data mining OLAP(online analytical processing) tools Reporting, query,application development, and EIS(executive information system) tools End-user access tools Typical data warehouse adn data mart architecture Operational data store (ODS) Query Manage summarized data(Relational database) Summarized data (Multi-dimension database) Data Mart (First Tier) (Third Tier) (Second Tier) Warehouse Manager
Reasons for creating a data mart ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
data marts issues ,[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]

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Datawarehousing

  • 1. Data Warehousing Hu Yan  [email_address]
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7. comparision of OLTP systems and data warehousing system Holds historical data Stores detailed, lightly, and highly summarized data Data is largely static Ad hoc, unstructured, and heuristic processing Medium to how level of transaction throughput Unpredictable pattern of usage Analysis driven Subject-oriented supports strategic decisions Serves relatively how number of managerial users Hold current data Stores detailed data Data is dynamic Repetitive processing High level of transaction throughput Predictable pattern of usage Transaction-driven Application-orented Supports day-to-day decisions Serves large number of clerical/operation users Data warehousing systems OLTP systems
  • 8.
  • 9. The architecture Operational data source1 Query Manage Warehouse Manager DBMS Operational data source 2 Meta-data High summarized data Detailed data Lightly summarized data Operational data store (ods) Operational data source n Archive/backup data Load Manager Data mining OLAP(online analytical processing) tools Reporting, query, application development, and EIS(executive information system) tools End-user access tools Typical architecture of a data warehouse Operational data store (ODS)
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. Operational data source1 Warehouse Manager DBMS Meta-data High summarized data Detailed data Lightly summarized data Operational data store (ods) Operational data source n Archive/backup data Load Manager Data mining tools OLAP (online analytical processing) tools End-user access tools Information flows of a data warehouse Reporting, query,application development, and EIS (executive information system) tools Downflow Inflow Meta-flow Upflow Query Manage Outflow Warehouse Manager
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23. Operational data source1 Warehouse Manager DBMS Operational data source 2 Meta-data High summarized data Detailed data Lightly summarized data Operational data store (ods) Operational data source n Archive/backup data Load Manager Data mining OLAP(online analytical processing) tools Reporting, query,application development, and EIS(executive information system) tools End-user access tools Typical data warehouse adn data mart architecture Operational data store (ODS) Query Manage summarized data(Relational database) Summarized data (Multi-dimension database) Data Mart (First Tier) (Third Tier) (Second Tier) Warehouse Manager
  • 24.
  • 25.
  • 26.
  • 27.

Notas do Editor

  1. ksss