Answer:
The restaurant chain system consist of restaurant id, name, zipcode, manager id, menu list.
Manager; manager id, name, phone no, and store.
Menu; menu id, type, items and description.
Items; item id, price and description.
Explanation:
Please look at the attachment for the E. R diagram.
Answer:
The correct option are:-
a) The socket type that will be used
d) The socket family that will be used
Explanation:
The socket() method generates the unbound socket in a networking domain and returns a descriptor of the register, which can be used in subsequent socket function calls.
The socket() method takes three arguments:
Domain:- The domain for which a socket is to be built is defined.
Type:- The socket type to be generated is defined.
Protocol:- It specifies a common socket protocol to use. The protocol setting of 0 causes socket() to use a default uninstalled protocol that is suitable for the socket type requested.
Answer:
The enormous amount of data and information that a company generates and consumes today can become an organizational and logistical nightmare. Storing data, integrating it and protecting it, so that it can be accessed in a fluid, fast and remote way, is one of the fundamental pillars for the successful management of any company, both for productive reasons and for being able to manage and give an effective response to the customers.
Good big data management is key to compete in a globalized market. With employees, suppliers and customers physically spread across different cities and countries, the better the data is handled in an organization, the greater its ability to react to market demand and its competitors.
Databases are nowadays an indispensable pillar to manage all the information handled by an organization that wants to be competitive. However, at a certain point of development in a company, when growth is sustained and the objective is expansion, the doubt faced by many managers and system administrators is whether they should continue to use a database system, or if they should consider the leap to a data warehouse. When is the right time to move from one data storage system to another?