Steps Involved in Data Conversion Services
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Data conversion is the process of converting data from one format to another. For it, encoded data is thoroughly examined. Afterwards, data conversion services accomplish various processes including importing, loading, scrubbing, uploading, validating and exporting data. Importing is done by loading and transferring the data from source to destination in the called format. Loading describes extraction, transformation and then, sending data to the destination in the application. For it, manual data loading and legacy system extraction options are available. Data scrubbing follows this process. It involves data cleansing, re-formatting and mapping appropriately. In order to make it available on internet, data uploading process is followed.
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What is Data Conversion?
Conversion of encoded data from one format to another is called data conversion.
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How Data is Converted? 1. Importing data 2. Data Loading 3. Data Scrubbing 4. Data Uploading
5. Data Validation
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What is Importing Data?
Transmission of file or folder to the destination file/folder from the source is known as importing data.
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Process of Importing Data MS Office Go to the Microsoft icon Click on ‘Open’ Click on ‘Import’ or ‘Get External Data’ tab Select the file Click on ‘Finish’ tab
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What is Data Loading? Three Steps of Data Loading: Extraction: Scraping data from heterogeneous or homogeneous data source.
Transformation: Altering the format of data.
Loading: Mechanical load to data for querying & analyzing.
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Two Ways of Data Loading
Manual data loading: Manual scripting the data and loading onto the machine.
Legacy System Extraction: Loading the existing file from the existing application.
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What is Data Scrubbing?
The process of cleansing, re-formatting and mapping data appropriately is known as data scrubbing. It is done to ease uploading process of the scrubbed data.
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Define Data Uploading
Data is being transferred on the internet from the computer. This process is known as data uploading. It avails formatted data on internet quickly and smoothly.
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What Does Data Validation Mean?
The process of running checking models to ensure accuracy and uncorrupted data is known as data validation. It • Refines • Finely tunes • Uncorrupts • Removes errors • Ensures feasibility
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