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List and describe the different types of databases
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In the world of database technology, there are two main types of databases: SQL and NoSQL—or, relational databases and non-relational databases. The difference speaks to how they’re built, the type of information they store, and how they store it. Relational databases are structured, like phone books that store phone numbers and addresses.
Non-relational databases [7] are distributed and are document-oriented just like file folders hold everything from a person’s address and phone number to their tweets online surfing preferences, in the similar manner non-relational databases keep tracks of all documents.
FIGURE 2.5
2.4.1) SQL: RELATIONAL DATABASES
First, let’s take a look at one of the main features that separates these two systems: the
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In an SQL database like MySQL, or Oracle, it executes queries, retrieves or updates data, and even deletes or creates new records. SQL is a lightweight language that is declarative and does a lot of heavy lifting for the relational database, thus it may act like a server side script but only database version of it.
POPULAR SQL DATABASES AND RDBMS’S
• MySQL—the most common open-source database; it is excellent for blogs.
• Oracle— it is written in C++ language and is an object-relational
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Enter non-relational databases, which provide much greater flexibility than their traditional counterparts. Suppose non-relational databases as file folders, arranging correlated information of all kinds. Every file of WordPress could carry data for a blog post like social likes, images, text, metrics, link and much more by using NoSQL database.
Sensor data, social networking, personal settings, photos, information based on location, online activity, metric usage, etc., can be included in unstructured data from the web. The attempt to store, process, and analyze this entire unstructured data became the cause of development of schema-less alternatives to SQL. Considered together, these alternatives are referred to as NoSQL, denoting “not only SQL”. Whereas, the term NoSQL surrounds a large range of alternatives to relational databases, and the feature that they have in common is that they enable you to treat data more
Though both of these things talk about the same basic idea, there are many differences s...
A database is for the most part utilized for putting away related, organized information, with all around characterized information positions, in a productive way for addition, redesign and/or recovery (contingent upon application). Then again, a record framework is a more unstructured information store for putting away discretionary, presumably disconnected information. The record framework is more broad, and databases are based on top of the general information stockpiling administrations gave by document frameworks. There are additionally contrasts in the normal level of administration gave by document frameworks and databases. While databases must act naturally reliable at any moment in time (consider banks following cash!), give confined exchanges and sturdy composes, a document framework gives much looser
There are two types of data. They are unstructured and multi-structured. Unstructured data comes from information that isn’t organized or easily interpreted by traditional databases or data models. This is usually in text format.
NoSQL are called non-relational databases, which is not created by any software companies. The examples for NoSQL are Dynamo created by Amazon, Bigtable created by Google, and Cassandra created by Facebook. NoSQL supports...
A database is a structured collection of data. Data refers to the characteristics of people, things, and events. Oracle stores each data item in its own field. For example, a person's first name, date of birth, and their postal code are each stored in separate fields. The name of a field usually reflects...
When discussing the topic of databases most individual’s minds go to a relational database. Where data is stored in tables and they are inter-related to one another by the use of primary and foreign keys. The increased interest on big data has caused some companies to forgo the standard RDBMS in favor of a system that would better suit their needs. This is where NoSQL comes into play. NoSQL – or “Not Only SQL” – uses different data structures to house data. These structures could look similar to a relational database but others look completely different. Depending on the specific structure used, your choice of Database Management Systems will change as well. There are four common data models to use; Key/Value Stores, Document Databases, Table-Style Databases, and Graph Database (Data Access for Highly Scalable Solutions).
Since the SQL language appeared in mid 1970s, it has been leading the relational database industry for many years. With the modern era of databases not everyone sees the advantages of using relational databases. NoSQL, was first developed in the twenty first century (MongoDB, para 19) to address the issues that the SQL language could not handle. NoSQL cannot handle pure relational database models, it can use any of five different kinds of models, including relational to solve problems. With the variety of models, designers are wondering if there is a future for the strictly relational language SQL, and it’s other disadvantages compared to that of NoSQL.
The final part of this essay will be to examine the similarities and differences between the two models.
PL/SQL handles transaction control, temporary objects, extended and system stored procedures, conditional processing, exception and error handling and other SQL features.
DBA deals with all of this by finding user needs, set the database, and test the system. DBA should enable editing any system he or she created. At the same time DBA should ensure the security of the data and guarantee data integrity and backup. Moreover, DBAs should know the database management systems (DBMS) that include the knowledge of Oracle, IBM DB2, and Microsoft SQL server (“Database Administrator,” 2010). Oracle is one of the most important platforms that DBA must know and have experience with. According to Kanaracus “The database experience we look for most of the time is Oracle”, says Tom Hart, executive vice president of the operations and technology group at Veritude. “SQL Server is more of a nice-to-have"
In the past, most of the databases were centralized, protected, and kept in a one location using a complicated database system known as centralized database. Nowadays, with the new technology of personal computers and cell phones, a new sort of database has appeared, and it seems that majority of people are pleasant with it, even if their private data is split everywhere. Many enterprises had changed their databases from the centralized databases, into the distributed database system, since it meets the demand of accessing and processing the data in the organization. Distributed database technology is considered as one of the most remarkable developments in this century (Ozsu, 1991; Rahimi & Haug, 2010; Cain, 2012). Distributed databases are basically a collection of databases that are divided on multiple computers which are connected logically but located in different physical locations, and each site manages its own local data. In contrast, centralized database is a database that is located in a one location and it is considered as a big single database (Connolly & Begg, 2010).
There are many different types of databases, different performances of databases, and different database software functions. Before we get to much into databases lets take a step back and think about what a database really is and how they are applied. A database is a software program arranged to collect hold and process information. There are quite a bit of software programs out there already that can allow you to do all this. However, what makes databases different is that once you enter information in to, the database will operate the information in ways that allow you to analyze the information. Databases are designed in such a way that as to make it easier to obtain particular pieces of data. Databases are used in many ways existing in pretty much the entire world of computers. Databases are the most used method of storage for large multiuser funtions where the coordination between many users is necessary. This is just basically what a database is.
Databases are becoming as common in the workplace as the stapler. Businesses use databases to keep track of payroll, vacations, inventory, and a multitude of other taske of which are to vast to mention here. Basically businesses use databases anytime a large amount of data must be stored in such a manor that it can easily be searched, categorized and recalled in different means that can be easily read and understood by the end user. Databases are used extensively where I work. In fact, since Hyperion Solutions is a database and financial intelligence software developing company we produce one. To keep the material within scope I shall narrow the use of databases down to what we use just in the Orlando office of Hyperion Solutions alone.
petabytes of junk. Data must be accessible and query-able. When we say that we have
Example of the non-structured data is an email and the word processing documents. An email is the message that being distributed into the recipients using an electronic. It is being sent from one computer user to another user. Example of the word processing documents is the Microsoft excel. It is spreadsheets that being produce by the Microsoft for calculating, graphic tools, pivot tables and a macro programming language. This is because the files may have internal structure but it is considered as the non-structured data because the data in the database is still unstructured.