produced, stored, updated, and used by HR EE and managers on a daily basis

Data formats:

It is formating all data file from pcs.whatever it is not use.suppose when data is full,and some data we want to delete it..

Data collection:

It is the collection of new data file.when new data is collecting..

Data research procedure include information on how data is collected, when it was collected, and who is responsible for data collection. Where data was stored and how to ensure data is correct are also part of data research procedure.

Data about other data is metadata.

Text data

incomming data, data transfer? i would use data transfer hope this helps.

Granularity refers to the level of detail of the data stored fact tables in a data warehouse. High granularity refers to data that is at or near the transaction level. Data that is at the transaction level is usually referred to as atomic level data. Low granularity refers to data that is summarized or aggregated, usually from the atomic level data. Summarized data can be lightly summarized as in daily or weekly summaries or highly summarized data such as yearly averages and totals.

A "Database"

"Metadata" defines the structure of the data stored.

Data is data. Data can be generated, manipulated, sorted, misanalysed, counted, correlated, etc.

Data is a general term for information of various sorts. A hand written address (little black) book is data.

Yes data can be counted amongst other things.

Data organized in ascending or descending order is called stacking data. Stacking data is usually organized by number or by alphabet.

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Data Sanitization involves the secure and permanent erasure of sensitive data from datasets and media.

Data Validation is a process that ensures that data entered into the database form, a web form, or a computer program conforms to the correct data type.

data modelling is used for organising and structuring of data. we can get overview through generic modelling. organising of data means representing the data in such a way that it comes in a particular order via graphical representation.

What is the question. Sampling is data collection

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By data conversion we mean the data is first processed. The data after processing is ready to store in database. And from the database we can retrieve it for our use.

Manipulation of data by a http://www.answers.com/topic/computer-1. It includes the conversion of raw data to machine-readable form, flow of data through the http://www.answers.com/topic/cpu and memory to output devices, and formatting or transformation of output. Any use of computers to perform defined operations on data can be included under data processing. In the commercial world, data processing refers to the processing of data required to run organizations and businesses.

data security and protection are the main essentiality for you if you are looking to protect your vulnerable infroamtion from outside threats. Try protecting your data with nice encryption software like AxCrypt, Data Protecto or AES Crypt.

1) Input is when the data is entered into the computer: There are 3 stages involved when imputing data; they are collection, verification, and coding. Collection collects the data and assembles it. The verification checks whether the data being processed it exact and complete. Coding means translating the data, in order for it to be used into machine readable form. 2) Process - The data is processed and organised. 3) Output is when the data which had been processed is presented as a document etc. Answer:

Data processing can be likened to the manufacturing process. In manufacturing,raw materials are processed, or made into a finished product. The raw materials maybe considered "input" to the processing machine. The finished product is "output." Inthe electronic computer, data are the raw material or input to the computer. Thefinished product, or output, is usually a printed report or an updated file containing datathat have been processed or manipulated in some way. The three functions (or stages)of data processing are: input, process (or manipulation), and output. Input involvescapturing data and getting it into a farm understandable to the computer. Processingencompasses the various steps taken by the computer to manipulate the data andprovide information. Output makes the computed results of processing available for usein decision-making

Data can be defined as raw facts and statistics that can be processed and analyzed to extract meaningful insights.

Data-driven insights are what a person gets from analyzing data for patterns and trends, giving insight into what is to be done.

Possible. More precisely, it is data-protection.

The data are sorted.

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The intention is: data in data warehouse is non updatable

But there exist some exceptions of the non-update rule which may be allowed by data warehouse organisation. Such cases may be:

- error correction of wrong data

- enhancement of missing data

- restructuring (parts of) data warehouse data(base) design

- ...

One leading idea beyond data warehousing resp. one purpose of data warehousing is to enable controller and other users to observe resp. monitor time variant data (e.g. revenue of a product during the last 24 months). It depends on the quality standards whether the above listed exceptions are allowed or not.

Data aggregation is a process in which information is gathered and expressed in a summary form. The aggregators collect data from a subset of the network and aggregate the data using aggregate function.

Data is sent to earth from satellites using TIROS. This is getting data from the ground.

Data is sent to earth from satellites using TIROS. This is data given from the ground.

Data that has been organized or presented in a meaningful fashion is known as structured data. This type of data is typically stored in a format that enables easy access, retrieval, and analysis. Structured data is commonly found in databases and spreadsheets.

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Direct

data is a collection of raw facts

I could find no data on this guy at all.

discrete data

patters in large data sets identified through here

The data ware of a computer system is also known as the enterprise data warehouse. It is a system used for reporting and data analysis.

Data that can not be controlled are placed on the vertical y-axis. These data are also called the dependent variables in an experiment.

While data refers to raw and unorganized facts that require some processing, information is data that has been processed, organized and presented in a particular manner. The individual scores of students in a test is an example of data while the average score of the class is information obtained from the relevant data.

The broad field of study called data management is, in essence, the managing of data that is a valuable resource to any business or organization. The Data Management Association (DAMA) is one of the largest organizations that deal in specialization of the field, within which there are many varying topics. These topics include areas such as database administration, data modeling, data mining, data movement and data warehousing.

Data Modeling

Data modeling is a specialization of data management which involves organizing collected data via the use of a structure created specifically for this task. The data is organized in such a manner as to make it easily accessible so that it can be efficiently stored and subsequently retrieved for making analysis and reports.

Data Warehousing

The data management specialization called data warehousing involves the effective storage of data in a manner that makes it efficient to use and access. While different types of organizations use different means of data collection, many of these organizations still use their data in the same manner. They may use it for analysis purposes, to create reports, or to help them make sound business decisions. For large companies, data warehousing may be used to organize the data of each office or department individually. In smaller companies it may be used for creating a single database which encompasses all of the organization’s data in one place.

Data Movement

Surprisingly, the movement of data requires a great deal of somewhat complicated logistics. Data that is collected must then be accessible to the end user. This process involves making sure that all hardware and applications used in the collection and movement processes are synchronized and compatible.

Database Administration

The process of data management involves a very essential function called database management. Database administrators are employed by companies to manage every aspect of the database environment. They are endowed with the responsibility of ensuring that the system performs and functions properly. They develop and test any needed applications and maintain the security, availability and recoverability of the database.

Data Mining

Trends, patterns and relationships that are evidenced by a collection of data can be discovered through a process called data mining. When a business desires to create growth or profit, this type of data management is used to sift through large amounts of information to reveal specific information.

All of these areas of data management work in conjunction. They are used to collect, store and analyze information, and then format it so that specialists can have the opportunity to make informed decisions.

Transferring

Processed data is called information.