Census of india | data warehouse

Census of india | data warehouse

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  AND ITS ROLEAS DATA WAREHOUSE 1
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   DEFINITION  HISTORYOF CENSUS  WHO CONDUCTS CENSUS  WHY CENSUS NECESSARY  TECHNIQUES  USES OF CENSUS  USES OF DATA WAREHOUSING  CONCLUSION 2
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   Population censusis the total process of collecting, compiling, analyzing or otherwise disseminating demo- graphic, economic and social data pertaining, at a specific time, of all persons in a country or a well defined part of a country.  Data warehousig is a system used for reporting and data analysis, and is considered as a core component of business intelligence. 3
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   800-600 BC– Rig Veda.  16th Century – Ain-e-Akbari .  1872 – The first systematic census conducted all over India.( Non-synchronous).  1881- The first synchronous census conducted all over India.  1951- The first census of independent India.  2011- 15th since 1872. - 7th since independence. 4
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  MINISTRY OF HOMEAFFAIRS REGISTAR GENERAL AND CENSUS COMMISSIONER ,INDIA DIRECTOR OF CENSUS OPERATIONS STATE/UT PRINCIPAL CENSUS OFFICERS CHARGE OFFICERS SUPERVISORS ENUMERATOR STATE GOVT./UT NODAL OFFICER 5
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   Demography  EconomicActivity  Literacy & Education  Housing &Household Amenities  Urbanization  Fertility and Mortality  Scheduled Castes and Scheduled Tribes  Language & Religion  Migration 6
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   Revising country’sprogress in the past decade.  Monitoring ongoing scheme.  Plan for future.  Reservation of seats in constituencies – parliament/assembly/panchayat and other local bodies  To make decisions regarding public welfare.  Census data is also used by international agencies ,scholars ,business people ,industrialist s etc. 8
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   A datawarehouse is a central repository for all or significant parts of the data that an enterprise’s various business systems collect.  A data warehouse is a collection of data designed to support management decision making.  A data warehouse is a system designed to give business decision makers instant access to information by copying data from existing data from existing systems and storing it for use by executives. 9
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   Congregate datafrom multiple sources into a single database so a single query engine can be used to present data.  Maintain data history.  Improve data quality, by providing consistent codes and descriptions, flagging or even fixing bad data.  Restructure the data so that it makes sense to the business users.  Make decision–support queries easier to write  Optimized data warehouse architectures allow data scientists to organize and disambiguate repetitive data 10
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  DATA COLLECTION –In case of both census and data warehouse, collection of data is starting process. In data warehouse collection of data is from transaction system where as in census collection of data is done by physical survey in which collected data is in primary state. 11
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  TABLES – Eachdata collection in warehouse is organised in a set of related tables. So that in Census, every information is classified on the basis of certain parameters like – households, gender, education, religion, caste etc. Table classify the data, which make us easy to work with it 12
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  DATA ELEMENTS –The smallest unit of data that you can work with. A data element cannot be logically divided any further without its meaning. Every table in census have data elements on which we can perform several database queries to understand the data. 13
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  Hence census providesinformation about many required data for making plans and schemes and helps in the development of a country and it is also used as data warehouse. Census as data warehouse provide us- 1. Easy data access 2. Handy parameter collection 3. Fast data base queries 14
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