How to present the value of Mars.
by Henryk Szubinski
Meta data as related to the insight mission on the surface of Mars as the progression of the way to mars as being the definition of space, that apparently has no real value, see the theories of dark matter and dark energy.
So to interact with space, you need to give it the space "tone" to which it will have some value, even when the space is transparent. This space "tinge" may also have the appended tone type of the sound as it makes it to the surface of Mars and future missions to Mars by manned landings.
So why ,the meta data as = space?. Well ,because it is used to measure the consumption of objects on Earth, to such an extent that every person and his or her consumption are registered and recorded. So the levels have displaced over the usual size that was once measurable.
This new field of consumer values has in it the space or "total empty" resource of being able to store the data and the results of such large spaces are "meta data " or "big data " interactive as humans will go to Mars, not only because of the need to explore, but to make it possible to survive on Mars with the data on "big and meta" data interactions. SO then, astronauts are and will be the best way to present the "consumer" projections on Mars or any other planet and star system.
The facts are already present in orbit around Mars as in the shape of "the cube sat "project comprising 2 satellites that orbit Mars and which probably had the functions of giving the space between Earth and Mars, the value of the "tinge" or spectral character of the space (which could be used by flashing a color variable light bulb in front of the satellites ).
However , if they do or not, the example of space having some value related to "big data", the ability to make sense of the future on Mars with the new populations growing, the meta data and big data will be needed. So then the "cube satellites could have this spectral projection as giving value to space and the insight probe on the surface of Mars and it's measure of the inner volume of Mars by geological study could give the meta data as the quality of the environmental variables of gravity, size, velocity, weight ,inertia and more, as they will need to adapt to the Mars environment that has only 2/3 of the Earth's gravity and size. Meaning we would be able to define the future technology on Mars by knowing the Insight data feedback as unique.
from Wikipedia
description of Meta data.
date 20+19
March 1
Metadata is "data [information] that provides information about other data".[1] Many distinct types of metadata exist, among these descriptive metadata, structural metadata, administrative metadata,[2] reference metadata and statistical metadata.[3]
- Descriptive metadata describes a resource for purposes such as discovery and identification. It can include elements such as title, abstract, author, and keywords.
- Structural metadata is metadata about containers of data and indicates how compound objects are put together, for example, how pages are ordered to form chapters. It describes the types, versions, relationships and other characteristics of digital materials.[4]
- Administrative metadata provides information to help manage a resource, such as when and how it was created, file type and other technical information, and who can access it.[5]
- Reference metadata describes the contents and quality of statistical data
- Statistical metadata may also describe processes that collect, process, or produce statistical data; such metadata are also called process data.[6]
from Wikipedia
description of Big data.
date 2019
March 1
Big data is a field that treats of ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate.[2] Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity.[3] Other concepts later attributed with big data are veracity (i.e., how much noise is in the data) [4] and value.[5]
Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available are indeed large, but that's not the most relevant characteristic of this new data ecosystem."[6] Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on."[7] Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet search, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics,[8] connectomics, complex physics simulations, biology and environmental research.[9]
showing you my nasa insight ,Mars mission pass.
Big data cities on Mars with meta data.
image; wallpaper.
image; wallpaper.