Metadata , or "data about data", is used to inform operators and users of the data warehouse about its status and the information held within the data warehouse. Examples of
data warehouse metadata include the most recent data load date, the business meaning of a data item and the number of users that are logged in currently.
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2009
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February
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- Why Change to Client/Server Computing
- What is Client/Server?
- Need for Client Server Model
- File sharing architecture
- Personal Computers
- Mainframe architecture
- CLIENT / SERVER TECHNOLOGY
- Fiber Optic Cables
- Coaxial cable
- Twisted-Pair wiring
- Network Cabling
- Network interface card
- Workstations
- The network operating system
- Components of a LAN
- LAN Requirements
- Why Lans ?
- The Concept
- The Emergence of Local Area Networks
- Broad Band Networks (ISDN):
- OSI or the open System Interconnection
- Transmission Protocols
- Communications Software
- Communication Services
- Communications Channels
- Packet switching
- Message Switching
- Circuit switching
- Transmission Modes
- Asynchronous Transmission
- Synchronous Transmission
- Synchronous versus Asynchronous Transmission
- Serial versus Parallel Transmission
- Mesh network
- Ring network
- Bus network
- Star Network
- NETWORK STRUCTURE OR TOPOLOGY
- Remote Access Devices
- Protocol converters
- Front-end communication processors :
- Multiplexer :
- Modem :
- Bridges, repeaters and gateways:
- Hubs
- Switches and Routers
- Network Interface Cards
- COMPONENTS OF A NETWORK
- Peer to peer
- Client-Server
- Site-to-Site VPN
- VPN
- Wide Area Networks (WAN)
- Metropolitan Area Networks (MAN)
- Local Area Networks (LAN)
- Benefits of using networks
- Organization
- Communication and collaboration
- Internet Access and Security
- Fault Tolerance
- Shared Databases
- Remote Access
- Fax Sharing
- Print Sharing
- File Sharing
- COMPUTER NETWORKS
- Interpretation and evaluation
- Data mining
- Transformation
- Preprocessing
- Selection
- DATA MINING
- Concerns in using data warehouse
- Advantages of using data warehouse
- Different methods of storing data in a data warehouse
- Optional Components
- Operations
- Metadata
- Natural Language
- STRUCTURED QUERY LANGUAGE AND OTHER QUERY LANGUAGES
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February
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