Data Warehousing Fundamentals A Comprehensive Guide for IT Professionals phần 9 pdf

... just a couple of ex- amples. Review all the initialization parameters and set each appropriately. Data Arrays What are data arrays? Suppose in a financial data mart you need to keep monthly balances of ... suitable for low-selectivity data? Why? 9. What is data partitioning? Give two reasons why data partitioning is helpful in a data warehousing environment. 10. What i...

Ngày tải lên: 08/08/2014, 18:22

... individual transactions to change the data there. Data updates are commonplace in an operational database; not so in a data warehouse. The data in a data warehouse is not as volatile as the data in an ... the market with numerous data warehousing products. Vendor solutions and products run the gamut of data ware- housing data modeling, data acquisition, data quality...

Ngày tải lên: 08/08/2014, 18:22

... 3-8 Integration of KM and data warehouse. Types of Metadata Metadata in a data warehouse fall into three major categories: ț Operational Metadata ț Extraction and Transformation Metadata ț End-User ... metadata contain all of this information about the operational data sources. Extraction and Transformation Metadata. Extraction and transformation metada- ta contain data about the...

Ngày tải lên: 08/08/2014, 18:22

... Chapter 2: ț Source data Production data Internal data Archived data External data ț Data staging Data extraction Data transformation Data loading ț Data storage ț Information delivery ț Metadata ț ... internal and external data sources form the source data architectural component. Source data governs the extraction of data for preparation and storage in the dat...

Ngày tải lên: 08/08/2014, 18:22

... source operational systems, data extraction tools, data transformation tools, the data dictionary definitions, and other sources all contribute to the data warehouse metadata. Metadata management, ... navigate through the data ware- house and any data marts. From the outset, pay special attention to metadata for your data warehouse environ- ment. Prepare a metadata initiativ...

Ngày tải lên: 08/08/2014, 18:22

... Data 123 AAAAA 234 BBBBB 345 CCCCC DATA STAGING Key Data 123 AAAAA 234 BBBBB 345 CCCCC DATA STAGING Key Data 123 AAAAA 234 BBBBB 345 CCCCC DATA STAGING Key Data 123 AAAAA 234 BBBBB 345 CCCCC DATA STAGING B EF O R AF TE R Key ... try to access the customer demo- graphics in the data warehouse. The customer data as an integrated whole lacks data qual- ity. WHY IS DATA Q...

Ngày tải lên: 08/08/2014, 18:22

... poten- tial effect of bad data. The low-priority data may be cleansed if you have any time and re- DATA QUALITY INITIATIVE 3 09 DATA QUALITY INITIATIVES DATA CONSUMER (User Dept.) DATA EXPERT (User ... companies serious about data quality pull all these factors together and establish a data quality framework. Essentially, the framework provides a basis for launching dat...

Ngày tải lên: 08/08/2014, 18:22

... organizations gather enterprise data from the source operational systems, move the data through a transformation and cleansing process, and store the data in data warehouses in a form suitable for ... Prefabricated multidimensional cubes are not created beforehand and stored in special databases. The relational data is presented as virtual multidimensional data cubes. 364 O...

Ngày tải lên: 08/08/2014, 18:22

... start with a large volume of data, even a small percentage increase can result in substantial additional data. In the first place, a data warehouse may contain too much historical data. Data ... fact tables. Data warehouse navigation. Data granularity and aggregate tables. Source systems and data extractions. Data transformation and cleansing rules. Business terms a...

Ngày tải lên: 08/08/2014, 18:22

... summary list of processes in which metadata is significant for IT: ț Data extraction from sources ț Data transformation ț Data scrubbing ț Data aggregation and summarization ț Data staging ț Data ... with the data extraction and ending with information delivery, metadata is crucial for IT. As the development process moves through data extraction, data transformation,...

Ngày tải lên: 08/08/2014, 18:22