Black out data in MCW - Online Editing Tool

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Add your MCW file into your DocHub profile.
After you select your document, click it to view it in our editor.
Use robust editing tools to make any changes to your record.
Once completed, click Download/Export and save your MCW to your device or cloud storage.
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How to black out data in MCW

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let us see some McQ question based on Big Data especially vs of big data so the first question is which one is not in which of Big Data options are variety velocity volatile and volume and the correct answer is volatile variety is referred as a structured unstructured and semi-structured data velocity is referred as data generated with the high speed and volume is nothing but huge amount of data the next question is veracity in Big Data means the data is generated with the high speed this is nothing but velocity the data is in huge amount that is nothing but volume the data is reliable and trustworthy and this is the meaning of veracity so the correct option is C and data management is nothing but database thank you

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What is the idea behind data hiding in OOPS Mcq?

Explanation: It includes hiding the implementation part and showing only the required data and features to the user. It is done to hide the implementation complexity and details from the user. And to provide a good interface in programming.

What is another term for data cleansing?

Data cleansing, also referred to as data cleaning or data scrubbing, is the process of fixing incorrect, incomplete, duplicate or otherwise erroneous data in a data set. It involves identifying data errors and then changing, updating or removing data to correct them.

What is the meaning of data Mcq?

Data is basically a collection of comparative numerical facts as well as information. It consists of tools that can help conduct a proper analysis.

What is data cleansing quizlet?

Data cleansing, data cleaning, or data scrubbing is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data.

What are the two types of research data MCQ?

Two types of research data include- Qualitative and quantitative data.

What is the meaning of data cleansing?

Data cleansing is the process of finding and removing errors, inconsistencies, duplications, and missing entries from data to increase data consistency and qualityalso known as data scrubbing or cleaning. While organizations can be proactive about data quality in the collection stage, it can still be noisy or dirty.

What is data cleansing Mcq?

Explanation: Data cleaning is a kind of process that is applied to data set to remove the noise from the data (or noisy data), inconsistent data from the given data.

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