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What are some advantages or disadvantages of gathering large quantities of data?
Advantages of gathering large quantities of data include more insights, better decision-making, and improving predictions. However, disadvantages can include increased storage and processing costs, potential privacy concerns, and the challenge of ensuring data quality.
What metric prefixes are the largest?
The largest metric prefixes are yotta- (Y) and zetta- (Z), representing 10^24 and 10^21, respectively. These prefixes are used to describe extremely large quantities, such as data storage capacities or distances in space.
What is the use of computer in reaserch?
Computers are mainly used for complex computations and simulations, but they are also often used for data collection and to analyze large quantities of data.
How to describe physical layer protocol functions when receiving data?
Detect and accept signals -Pass on to Data Link layer -Set data transmission rate -Monitor data error rates
What is storage formats is sequential in nature and most often used during the frequent backup of large quantities of data?
lto
What does pod slurping mean?
pod slurping means a use of a portable data storage device to download large quantities of electronic data=Written by the smart person=
Which systems support decision making by enabling users to extract useful information that was previously buried in large quantities of data?
DSS
What does statistics mean in english?
Statistics meansThe practice and science of collecting and analysing numerical data in large quantities especially for the purpose of inferring proportions in a whole from those in a representative sample.A fact or a piece of data from a large study of large quantity of numerical data.An event or person regarded as no more than a piece of data.
Is The best way to analyse large quantities of data is by looking at it in a very big table?
Analyzing large quantities of data in a big table can be overwhelming and may not always yield the best insights. While tables are useful for organizing data, more effective methods include using data visualization tools, statistical analysis, and machine learning techniques to uncover patterns and trends. These approaches can provide clearer insights and make it easier to interpret complex relationships within the data. Ultimately, the best method depends on the specific data and the questions being addressed.
How Do You describe the shape of a data set?
You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.
Quantities that have different values at different times are called?
Variables or data
What is the functions of mainframe computer?
The function of a mainframe computer is usually as a large database of all sorts of data. An example would be a large credit card company would have a computer that would hold every bit of data that company needed including customers and their info. So in short a computer with large amounts of data, and in most cases, backups of that data too.
