The document discusses key concepts related to data warehousing including: 1) What data warehousing is, its main components, and differences from OLTP systems. 2) The typical architecture of a data warehouse including operational data sources, storage, and end-user access tools. 3) Important considerations like data flows, integration, management of metadata, and tools/technologies used. 4) Additional topics such as benefits, challenges, administration, and data marts.

1. Data Warehousing Hu Yan  [email_address]

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

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)

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

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