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What is successive compression?
Successive compression refers to a technique used in data compression where data is compressed multiple times in sequence to achieve higher overall compression ratios. Each compression pass reduces redundant information further, leading to more efficient use of storage space or bandwidth. However, repeated compression can also result in loss of data fidelity or quality.
What do you mean by the Data redundancy and inconsistency?
To avoid duplication of data we use data redundency .commonly in buissiness administration we have bundle of duplicate files so for such type of these things we use it .data consistency a common data which can acces by every common user a data which consistent for all.
Is Use of pointers in function saves the memory space?
No. But avoiding unnecessary duplication of data does.
Disadvantages of system data duplication?
System data duplication, or denormalization, causes excess use of redundant storage, excess time processing queries, and possible inconsistency when de-normalized data is changed in one place but not the other. (Any one else have examples? Please enhance this answer. Thank you.)
Why some bulk message sending software encountering spamming and sending failed problems?
Basically, mobile communication use compression techniques. Two types of compression techniques are there. they are: 1. lossy compression 2. lossless compression. While the user send an SMS, copmression technique is applied at the transmitter section and decompression technique is applied at the receiver. These compression techniques were takes place automatically. 1. In lossy compression, some data may lost at the receiver while performing decompression. 2. In lossless compression, the transmitted data is received without any loss at the receiver. Due to lossy compression only, u may have some problems at the receiver side such as "some text missing". etc.
How do you convert from pixel to kilobyte?
There is no straightforward conversion. An image that has (for example) 800 x 600 pixels needs to represent that many picture points. Without data compression, each picture element needs about three bytes (depending on the color depth); however, formats such as JPEG do use data compression, more precisely, lossy data compression - and the factor by which data is reduced with data compressed varies, depending on the image quality. That is, in lossy data compression, more compression means less quality.
Difference between lossless and lossy compression?
File compression uses software algorithms to reduce file size by reducing the bit-rate of a file. Lossy compression takes it a bit further and lowers the quality of thr file to make it even smaller. Lossy compression is commonly used for media files, but would not be appropriate for other types of files.
How does compression affect the quality of a file?
That depends on the compression method used. There are some compression methods that are lossless, meaning that the original data can be 100% reconstructed. Zip files and similar methods use lossless compression.The compression used for images, photos, and video files is typically not lossless. Depending on the degree of compression achieved, there will be artifacts (imperfections) introduced in the data. A balance must be struck between the resulting file size and the degradation of the data.
How Compression affects the quality of the file?
That depends on the compression method used. There are some compression methods that are lossless, meaning that the original data can be 100% reconstructed. Zip files and similar methods use lossless compression.The compression used for images, photos, and video files is typically not lossless. Depending on the degree of compression achieved, there will be artifacts (imperfections) introduced in the data. A balance must be struck between the resulting file size and the degradation of the data.
Hiding cells is a technique you can use to hide data that you do not want others to see?
false
Cells is a technique you can use to hide data that might be sensitive or not relevant to a report?
Shadowing.
Advantage of quantitative technique over qualitative technique?
In Quantitative technique, the researcher's aim is to classify data in graphs, tables, or texts (Others use statistics in doing this) The variables needed in the study are carefully designed. In gathering data, a researcher may use questionnaires, interview method, or survey. This technique is effective especially in testing hypotheses.
