0
yes
Wiki User
∙ 10y ago
Add your answer:
Earn +20 pts
Describe the area of structured types in an object oriented database and give an example of their use?
Data is stored as objects and can be interpreted only using the methods specified by its class.
Why use static data when you can use global data in the class in C plus plus?
Global data are used only as a last resort. It's highly recommended not use global data in your programs because sometimes it's really hard to avoid name clashing. And as result to track such problem down.
What is the difference between structure oriented and object oriented programming language?
the main difference is that structured programming deals with the flow of execution, and not, primarily, with the data. The mathematical basis for structured programming has to do with the elimination of arbitrary jumps (GOTOs) in favor of code blocks and functions. In particular, "information hiding" as it relates to data isn't fully developed in structured programming; structured programming has to do with the organization of the code, rather than the data, and pure structured programming passes data around in the form of function arguments (conceptually, "on the stack"). In contrast, object oriented programming primarily deals with data issues. The object/class paradigm promotes clean, flexible organization of data in the same way that structured programming promotes clean, flexible organization of code. In a pure object oriented approach, the flow of program execution is treated as bits of behavior associated with the packets of data that are "objects".
How can you dicribe array?
An array is when you store several data items with a single name. You only use a number to distinguish the individual items. Or two or more numbers, if you use a multidimensional array.An array is when you store several data items with a single name. You only use a number to distinguish the individual items. Or two or more numbers, if you use a multidimensional array.An array is when you store several data items with a single name. You only use a number to distinguish the individual items. Or two or more numbers, if you use a multidimensional array.An array is when you store several data items with a single name. You only use a number to distinguish the individual items. Or two or more numbers, if you use a multidimensional array.
What is the use of an algorithm to scramble data into a format that can be read only by reversing the algorithm?
Encryption
What are the large corporations often use powerful computers to store mange and process data from thousands of users?
Large corporations often use powerful computers called __________ to store, manage, and process data from thousands of users.
Describe the area of structured types in an object oriented database and give an example of their use?
Data is stored as objects and can be interpreted only using the methods specified by its class.
What is a drawback of structures in the C language?
Nothing. If you use structured data, you define a structto store it.
What database does Gmail use?
The data in Gmail or other Google products is Big Data. Gmail uses Distributed Storage for structured data. It helps to manage the data easily.
Is structured programming an OOP principle?
No. Structured programming came before object-oriented programming. Most OOP languages make use of structured programming, but only because they were already using structured principals, not because they now use OOP principals.
Examples of database Query?
The database we use is based on structured query language . To add or retrieve data from the database we use SQL . SQL is the structured query language that provides the syntax to add, modify, update or retrieve data from the database.
Research & Journalism data that we provide?
We can scrape for your data such as publications data, crime data, social media data, crowd sentiments, weather data, historically published data & thousands of data from different sources and of multiple types. We use the latest technologies to serve you with the latest, accurate, and structured data.
What Is Big Data Analytics And Who Are Using It?
Big data analytics is the use of advanced analytic techniques to very large, heterogeneous data sets, which can contain structured, semi-structured, and unstructured data, as well as data from many sources and sizes ranging from terabytes to zettabytes. To learn more about data science please visit- Learnbay.co
Difference between structured and unstructured?
A program in unstructured language consists of sequence of commands, or statements, usually one in each line. these lines may have labels. labels helps to jump any line in the program. unstructured programming introduces basic control flow concepts such as loops, branches and jumps. they don't use concept of procedure,function . In contrast structured programs uses procedures,subroutines and local and global variables. Yes an unstructured language uses labels and jumping statements example of unstructured are earlier language like assembly language. structured language are well equipped with control statements, procedures,functions etc. example of structured language are high level language like c,c++.
Where can someone find a data flow diagram example?
A good example of the use of a data flow diagram may be found in large corporations such as large websites or other Information Technology or Data Information Processing companies.
How businesses use data through web scraping?
Web scraping enables businesses to take unstructured data on the world wide web and turn it into structured data so that it can be consumed by their applications, providing significant business value
In recent years there has been a trend to represent traditional relational data in a semi structured data format such as XML. a) List and explain three of the main motivations for this trend over recent years.(Advanced Database Systems Course)?
a) Three main motivations for the trend of representing traditional relational data in a semi-structured data format such as XML are: 1.Flexibility: XML allows for more flexibility in representing data as it does not have a fixed structure like relational data. This allows for more complex data relationships to be represented, such as hierarchical or multi-valued data. 2.Interoperability: XML is a widely accepted standard for data representation, making it easier to exchange data between different systems and organizations. 3.Ease of use: XML is relatively easy to learn and use, making it a popular choice for representing data. Its use of tags to represent data elements and their relationships makes it intuitive for many users.
