The Linguistic Anthropology process many problematic thoughts , this problematic are all related with the arrangement which we can study language by its reveal.
So, as we well see this essay is arguing in methods , ideas and theories which discuss t
he language matter and linguistic phenomenon as its formation in the philosophical and scientific field, and if we could get to an arrangement overrule the Linguistic relation as its independence of talking man , and we will try to expose the structuralism and other linguistic turns in the twentieth century ,and its methods , and the social historical order which had stand in the face of the dominance the imperialism thinking , which distort the linguistic phenomena and distance this phenomena of society .
Due to the importance of water, and the increasing of demand at the present time due
to the tremendous development in all spheres of economic and social life, and as the
evaluation, planning and management of water sources, one of the important top
ics in
human life, especially in areas with scarce rainfall or where rainfall distribution is poor or
irregular so cannot be used for different purposes.
From here, the importance of the research in forecasting rainfall in the Husn
Suleiman station, comes, and to achieve this goal the data of time series for the average
annual rainfall precipitation been used in Husn Suleiman station which located in the
province of Tartous on longitude 36 ° 15 ' andlatitude 34 ° 56', for the period between
1959-2011,
The methodology of "Box – Jenkins" been used in the study, this methodology
relies on finding future forecasts from original data series.
Also,the applications “MINITAB, EXCEL” have been used in the statistical side and
the preparation of the study results.
As a result, the study found that rainfall value in the 'Husn Suleiman station'
decreasing, this decline amounted to 3.7 mm per year during the monitoring period.
Also, the appropriate (ARIMA) model for the series was build after it passed the
various statistical tests are required, and founded that ARIMA(1,0,0) model is a good
representation of the data and the ARIMA(4,1,5) model is the right model to forecast
future rainfall.
The huge growth in the data storing and the wide use of social networks and applications that depend mainly on complicated and interrelated relations between entities which need specific models of databases to store and retriev quickly and effectivel
y, the relational databases are no longer adequate in distributed systems and websites that deal with big data which have to be accessible and operable.
This paper explains briefly the challenges of relational databases and the reasons that led to emergence the non-relational databases (NoSQL), in addition to CAP theorem and some of NoSQL types, specially GraphQL
