Answer:
a) EDI Semantic Layer
Explanation:
EDI is an acronym for electronic data interchange and it can be defined as a form of communication between interconnected computer systems and software applications with respect to business informations in standard digital formats.
This ultimately implies that, electronic data interchange (EDI) involves the transfer of business informations such as financial transactions between the computer systems of various organizations such as banks, companies, governmental agencies, etc. Thus, it avails businesses the ability to create strategic communications using computer to computer links to effectively and efficiently exchange business informations electronically or in digital formats.
Hence, the EDI Semantic layer describes the business application that is driving electronic data interchange (EDI).
Surge protector :) hope this helps
Answer:
replace()
Explanation:
The history object in javascript corresponds to browsing history.
It has the following methods for navigating through the history list:
back(): Go back in the history list
forward(): Go forward in the history list
go() : Navigate to the currently pointed url in the history list. It takes a parameter which can either be a numeric index or a string which is matched with the history list content.
replace() is not a method in the history object.
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?
