Difference between data dependence and data independence?
data dependance mean the data is dependance upon application programme. when we change in data so also change in application program which we use
Data independance mean data is indpendant on applicaton programme or vice versa . if we change in data so there is no change in application programme
What is a Brio Query File used for?
A brio query file - file extension bqy - is typically an sql query that can be connected to a RDBMS and return an answer or result set. A brio query file is created using Brio explorer or designer software. This sofware creates SQL queries using a graphic interface to render database objects that can be dragged and dropped on to the designer space. Query design is similar to MS Access.
What are the advantages of database systems over paper based systems?
A paper-based system can only be organized in a single way, cannot be easily searched, cannot be easily modified, cannot be accessed remotely, cannot be conveniently cross-referenced, maintained and updated, protected, and cannot be expanded without considerable effort.
Computerized databases solve nearly all of these problems.
Whereas a paper-based system would need extensive labor and reorganization in order to change the sequence and order of data, a digital database could be re-ordered instantly with a single click; thus, data could immediately be re-sorted based on (for example) a customer's name, address, age, average order size, credit rating, etc. Then, the digital version could be re-sorted by another criteria... and then another, all in just a few seconds.
A paper system would require extensive time and man-power to search for a given piece of information, whereas a digital database could instantly find the required data in any field, instantly. Further, a database system could cross-reference data, finding matches within multiple fields, correlate them, perform arithmetic processes on them, and retrieve only the data that matches every single criteria. For example, it could find a list of every customer in a database with an 'A' credit rating who is engaged in heavy construction projects, who has spent more than $40,000 with your company within the past year, and whose current fleet of bulldozers is more than 15 years old... perhaps the perfect lead for your bulldozer sales representatives. To find, analyze and correlate this data by hand would take nearly a lifetime.
A paper system cannot be easily modified and expanded. Updating data requires removing each record's card or file, erasing the old data (or waiting while white-out dries because a former employee violated the 'pencil only' rule), and then carefully entering it again. For bulk updates and batch changes, every single record must be found and updated individually. If the original filing system wasn't conceived to take new fields into consideration, you'll resort to writing on the backs of cards, or meticulously writing in margins, or adding pages to filing systems that were designed for a single page per record. Not so with computer-based databases. Batch updates take seconds, with a click-and-drag function. Need to expand data? No problem, just add a field to the entire database with a single click. Did the law recently change, prohibiting certain information from being maintained on clients? Or does the law now require new accountability for record keeping? Examples could include the FOIA (Freedom of Information Act), or the HIPAA (Healthcare Information Privacy and Accountability Act), or any number of ever-changing state and federal regulations for nearly any industry. With a paper database, you may well be out of business, but with a digital database, you're instantly back in compliance with just a few clicks.
A paper system requires massive amounts of space, climate control, fire protection, lighting, etc. These all add overhead to your operation, whether in the home environment, or a high-level corporate record keeping firm. The paper is a risk, in and of itself, to life and safety due to accidental fire concerns. Paper files are subject to damage from temperature, water (floods, hurricanes), fire, theft, accidental loss and mis-ordering (which, depending on the size of the filing system, could be catastrophic and impossible to correct), and are almost impossible to back-up completely, requiring that an entire new system be duplicated from scratch, perhaps by hand. This dilemma is what prompted the now-obsolete technologies of microfilm and microfiche (essentially condensed photographic slides of files) -- so that data could be archived to save space and backup valuable data. On the other hand, a digital database of nearly any size could reside on a single computer or small network. Perfect digital backups of data can be made instantly to protect against any loss. With a small amount of care and diligent and frequent archiving (perhaps even automatically), there is no reason that there should ever be data loss; these convenient backups can survive and maintain an office's operations, regardless of any threat to the original data, up to and including catastrophes and acts of God. Further, data in a computer database could be encrypted during storage, to prevent any theft or unauthorized copying of information.
Further, whereas an old-fashioned paper file must be visited to be used, for example the card catalogs that are disappearing from libraries everywhere, a digital database, if appropriate and desirable, can be accessed remotely from anywhere, either securely by authorized users, or publicly by anyone connected to the internet. Digital databases fuel internet revenue, essentially allowing buyers to check a business's current stock of merchandise, then automatically edit the inventory sheets when they make their purchase. That sure beats counting items manually, or risking embarassing cancellations for orders when a surprise glitch in the paper filing system shows inventory that doesn't exist, or has been sold.
A business's paper-based system could even be discontinued, and proprietary-sized paper, forms, or storage could become impossible to obtain. The advantages of digital databasing systems over a paper system are innumerable.
Advantages and disadvantages of relational database system?
A pivotal setup in designing a relation database is to design the relations making up the database. Although this might appear to be a simple task, many subtleties are waiting to trap the unwary designer. The Advantages to using a relational database system:
You use tables to create the relation. Inside the tables are primary and alternative keys.
The primary keys create the relation between the tables with the alternative keys. The disadvantage: You can lose information if the keys over lap in the requests made by the creator. Sometimes this is true and sometimes it is not. SQL is a type of database, is called structure query language. Which commonly is know to form the structure of the backbone for most relations database query systems. The popularity of this language is because the American Standard Institute standardized it. Another reason is that it was originally developed and marketed by IBM and has thus benefited from a high level of exposure.
What are the different views of data in a database management systems?
In a database management system, data can be viewed in three main ways:
What are the advantages and disadvantages of information systems?
· Cost effectiveness
· Employment
· Process time
· Access to up-to-date information
· Globalization - IT has not only brought the world closer together, but it has allowed the world's economy to become a single interdependent system.
· Communication - With the help of information technology, communication has also become cheaper, quicker, and more efficient.
· Bridging the cultural gap - Information technology has helped to bridge the cultural gap by helping people from different cultures to communicate with one another.
· More time - IT has made it possible for businesses to be open 24 x7 all over the globe. This means that a business can be open anytime anywhere.
· Creation of new jobs - Probably the best advantage of information technology is the creation of new and interesting jobs. Computer programmers, Systems analysers, Hardware and Software developers.
Disadvantages
· Unemployment - While information technology may have streamlined the business process it has also crated job redundancies, downsizing and outsourcing.
· Privacy - Though information technology may have made communication quicker, easier and more convenient, it has also bought along privacy issues.
· Lack of job security - Industry experts believe that the internet has made job security a big issue as since technology keeps on changing with each day.
· Dominant culture - While information technology may have made the world a global village, it has also contributed to one culture dominating another weaker one. For example it is now argued that US influences how most young teenagers all over the world now act, dress and behave.
The full form of CID can stand for either "Criminal Investigation Department" or "Critical Infrastructure Protection."
Some disadvantages of Management Information Systems (MIS) include high initial setup costs, potential for data security breaches, and the need for ongoing maintenance and upgrades, which can be resource-intensive. Additionally, MIS may lead to information overload if not managed effectively, impacting decision-making processes.
What is the difference between sybase and rdbms?
Sybase is a specific product and company that provides relational database management systems (RDBMS). RDBMS is a general term for a type of database management system that stores data in a structured format using tables. Sybase is one of the many vendors that offer RDBMS solutions.
Disadvantages of information systems?
The primary disadvantage is the vulnerability of data in today's world. It is very easy for a business to be a victim of espionage or robbery if they keep their data online, which most businesses do now a days.
What is the difference between sql and an sql server?
SQL is an abbreviation for Structured Query Language. SQL is a means to request data from a database. SQL is a standards based langage that has many versions approved by the American National Standards Institute (ANSI). There are many versions of ANSI-SQL and most databases support specific versions of ANSI-SQL. SQL Server is a database management system that was originally created by Sybase. Microsoft bought the rights from Sybase to market their own version of SQL Server on the Microsoft Windows operating system. Sybase still has versions of SQL Server on other operating systems. When people refer to SQL Server, they typically mean "Microsoft SQL Server." Microsoft SQL Server is a database management system (DBMS) that utilizes SQL (or more specifically Transact-SQL, or T-SQL) as a means to extract data from it's database tables.
What is the difference between XML and SQL data storage?
In XML data storage, the data is stored in a file which represents an XML Schema of the data. To read the data, you have to pull and open the entire file in memory and use technics like xpath to get the data element you want. In SQL data storage, the data is stored in a database ( usually relational database). To read the data, you simple sent an SQL query to the database. The database management engine analysis the query and get the required data elements you ask for in your query which is finally sent to you as a reply.
What is the difference between information technology and electronic data processing?
Information technology (IT) refers to the broader field that encompasses the use of computers and software to manage and process information. Electronic data processing (EDP) specifically focuses on the automated processing of data using computers. Essentially, EDP is a subset of IT that deals specifically with the processing of electronic data.
What is an organically based communication disorder?
An organically based communication disorder is a disorder that is caused by physical or neurological factors, rather than psychological or emotional ones. This means that the communication difficulties arise from problems in the structure or functioning of the brain or other organs involved in communication, such as the vocal cords or hearing organs.
When inserting character values into a table is case sensitivity important?
It depends on the database's collation settings. For case-insensitive databases, the case of the inserted values may not matter. In case-sensitive databases, the values are considered distinct based on their case, so 'John' and 'john' would be treated as different entries. It's best to know the collation settings of your database to handle character casing appropriately.
Values information refers to data or knowledge about the principles and beliefs that guide an individual's or organization's behavior and decision-making process. This information helps understand what is important to someone or an organization and can be used to assess alignment with goals and priorities.
Is there a way of having online survey results automatically fed into a database on submission?
== == It is called "real time results" - When you click on "see results" and call up a chart, the application displays the results based on the last respondent. This could have been seconds ago.
What are the differences between a data administrator and a database administrator?
Depending on the company, they could be the same. But, if they are different, here is the difference:
A data administrator is one who oversees the data integrity of the database. They do not create objects and they may not have privileges to do anything other than "view" the data and report any data discrepencies to the database administrator(one who administers the entire database). The data administrator can check data in the tables to make sure there are no errors, can check to see if tables that need an index have one, are all programs valid--stuff like that. The database administrator is usually busy with fixing problems, creating tablespaces, tables, looking at error messages.
What are the differences between centralized and distributed DBMS?
Sudipto Chattopadhyay
Discuss the distinction between centralized and decentralized conceptual database design:.
Centralized and decentralized design constitute variations on the bottom‑up and top‑down approaches we discussed in the third question presented in the discussion focus. Basically, the centralized approach is best suited to relatively small and simple databases that lend themselves well to a bird's‑eye view of the entire database. Such databases may be designed by a single person or by a small and informally constituted design team. The company operations and the scope of its problems are sufficiently limited to enable the designer(s) to perform all of the necessary database design tasks:
1. Define the problem(s).
2. Create the conceptual design.
3. Verify the conceptual design with all user views.
4. Define all system processes and data constraints.
5. Assure that the database design will comply with all achievable end user requirements.
The centralized design procedure thus yields the design summary shown in Figure Q6.6A.
Figure Q6.6A The Centralized Design Procedure
Note that the centralized design approach requires the completion and validation of a single conceptual design.
Note: Figures 6.15 and 6.16 contrast the two design approaches, Figure 6.6 shows the procedure flows; demonstrate that such procedure flows are independent of the degree of centralization.
In contrast, when company operations are spread across multiple operational sites or when the database has multiple entities that are subject to complex relations, the best approach is often based on the decentralized design.
Typically, a decentralized design requires that the design task be divided into multiple modules, each one of which is assigned to a design team. The design team activities are coordinated by the lead designer, who must aggregate the design teams' efforts.
Since each team focuses on modeling a subset of the system, the definition of boundaries and the interrelation between data subsets must be very precise. Each team creates a conceptual data model corresponding to the subset being modeled. Each conceptual model is then verified individually against the user views, processes, and constraints for each of the modules. After the verification process has been completed, all modules are integrated in one conceptual model.
Since the data dictionary describes the characteristics of all the objects within the conceptual data model, it plays a vital role in the integration process. Naturally, after the subsets have been aggregated into a larger conceptual model, the lead designer must verify that the combined conceptual model is still able to support all the required transactions. Thus the decentralized design activities may be summarized as shown in Figure Q6.6B.
Figure Q6.6B The Decentralized Design Procedure
Keep in mind that the aggregation process requires the lead designer to assemble a single model in which various aggregation problems must be addressed:
¨ synonyms and homonyms. Different departments may know the same object by differentnames (synonyms), or they may use the samename to address differentobjects(homonyms.) The object may be an entity, an attribute, or a relationship.
¨ entity and entity subclasses. An entity subset may be viewed as a separate entity by one or more departments. The designer must integrate such subclasses into a higher‑level entity.
¨ Conflicting object definitions. Attributes may be recorded as different types (character, numeric), or different domains may be defined for the same attribute. Constraint definitions, too, may vary. The designer must remove such conflicts from the model.
Information directly collected by the researcher specifically for the research are primary data
* Mean temperature of the earth in the year 2007
* Population of USA in 2005
* How many pages in Wikipedia by the 1st of January 2008
Compare and contrast rdbms with oodbms?
Relational database management systems (RDBMS) store data in tables with rows and columns, and use structured query language (SQL) for querying data. Object-oriented database management systems (OODBMS) store data as objects with attributes and methods, allowing for complex data structures and relationships. RDBMS are widely used for structured data while OODBMS are suited for applications with complex data structures and operations.
A database is used for storing your work and is a easy way to store information
A database is crucial for storing information, providing information to multiple users, easy access to data, fast information recall, and increased efficiency particularly for business owners.
Storing Information
A database is a type of file system that stores information. This is its most basic function. Instead of relying on traditional methods of storing information in physical file folders and cabinets, a database provides digital storage of information.
Providing Information To Multiple Users
Big advances in database technology allows multiple users to access and update information. This information will then be instantly viewable by all users. Not only does this enhance communication within a company, but it also ensures an informed and positive approach to customer service.
Easy Access To Data
A database manager provides easy access to information. Because the information is centralized, the user has no need to look to other applications or sources. All is provided through a singular database system, and the information in the database can be repurposed and fed into a company Web site or blog.
Fast Information Recall
Due in part to a series of complex algebraic algorithms that work together to recall information easily, querying a database should produce a quick result. When compared to locating the information manually, users find this quick recall an attractive feature of databases.
databases are used to store information from medical to personal.
you can use a database for
A database is useful for storing information in it.
database are used to organise data into a more formal and understandable structure
Databases are used to reduce the redundancy and manage the data base of the employees more effectively and in a better way..
integrity of data can be provided , security of imp. data and easy retrieval of the desired information can be done
So database must be maintained to keep our data safe and secure....
Three ways in which information technology helps to make work easier?
One way that information technology helps to make work easier is through the use of email. Messages can be sent quickly and efficiently. The fax machine is another example, for instances in which a paper document needs to be sent immediately. A third way in which information technology helps to make work easier is through the use of internet search engines. These allow workers to access many different types of information instantly.
What is sampling which is related to information system?
Sampling in information systems refers to the process of selecting a subset of data or transactions from a larger dataset for analysis or testing. It allows organizations to efficiently analyze information without having to process entire datasets, which can be time-consuming and resource-intensive. Sampling helps in making inferences about the larger dataset based on the characteristics of the sampled data.
What is Resource-Intensive SQL?
Resource-intensive SQL refers to SQL queries that consume a significant amount of system resources such as CPU, memory, or disk storage. These queries can slow down performance and impact the overall efficiency of the system. It is important to optimize resource-intensive SQL queries to improve system performance.