Write short note on Collectorate

 Collectorate

  • Collectorate 2000 is a program of the National Informatics Centre (NIC) to design, develop and install a new suite of software modules for use in the computerization of Collectorates. This case study surveys the background, features, and capabilities of the software modules used in the computerization of Collectorates in Andhra Pradesh.
  • During the late 1980s, NIC took up the NICNET program for implementing the All Ind Satellite-based Government Informatics Network connecting various District Collectorales State Government Secretariate, and Central Government Offices in Delhi through a VSAT based network called NICNET.
  • In 1988, VSATs have been installed (C200 model) in all District Collectorates with a speed of 1.2 kbps along with one computer system and two Technical Officers of NIC. Subsequently, in the mid 199s, the NICNET facility was enhanced with IPA/FTDMA VSAT Earth Station with a speed of 64 kbps (shared) for Internet browsing purposes in the Collectorate.


Functions of the Collectorate:

  • encompassing the revenue functions,
  • land-related matters and the magisterial
  • functions dealing with Law and Order, Arms Licenses, etc.,
  • Welfare schemes, relief, and rehabilitation

Comments

Popular posts from this blog

Suppose that a data warehouse for Big-University consists of the following four dimensions: student, course, semester, and instructor, and two measures count and avg_grade. When at the lowest conceptual level (e.g., for a given student, course, semester, and instructor combination), the avg_grade measure stores the actual course grade of the student. At higher conceptual levels, avg_grade stores the average grade for the given combination. a) Draw a snowflake schema diagram for the data warehouse. b) Starting with the base cuboid [student, course, semester, instructor], what specific OLAP operations (e.g., roll-up from semester to year) should one perform in order to list the average grade of CS courses for each BigUniversity student. c) If each dimension has five levels (including all), such as “student < major < status < university < all”, how many cuboids will this cube contain (including the base and apex cuboids)?

Suppose that a data warehouse consists of the four dimensions; date, spectator, location, and game, and the two measures, count and charge, where charge is the fee that a spectator pays when watching a game on a given date. Spectators may be students, adults, or seniors, with each category having its own charge rate. a) Draw a star schema diagram for the data b) Starting with the base cuboid [date; spectator; location; game], what specific OLAP operations should perform in order to list the total charge paid by student spectators at GM Place in 2004?

Explain Parallel Efficiency of MapReduce.