Summary: The Future Of SQL

Data objects can model relational data or advanced data types such as graphics, movies, and audio. Smalltalk, C++, Java, and others are objects used in object-oriented data. The object-relational is a combination of relational and object-oriented databases. Traditional and advanced data types can be used to construct database management systems. These systems can connect to a company’s website and update records as needed. Database Approach The main purpose of a database is data storage that can be stored and retrieved when needed. A popular common language called structured query language (SQL) is used to store and retrieve data in relational database. This language enables the systems to run a report or modify data or remove the data from the database. A database management system (DBMS) controls all aspects of a database, this is not limited to the creation, maintenance, and use of database. The DBMS ensures proper applications are able to access the database. An important purpose of a DBMS is to maintain the data definitions (data dictionary) for all the data elements in the database. It also enforces data integrity and security measures. Data Models Data models provide a contextual framework and graphical representation that aid in the definition of data elements. In a relational database, the data model lays the foundation for the database and identifies important entities,

This data is collected and organized in order to process orders and maintain good customer service. The logical view of data would allow a knowledge worker to arrange and access information based on the needs of the business separating it from the physical view of how information is arranged and stored. The ability to do this allows for an employee to create detailed reports in order to determine information such as customer information and their order numbers and dates. This is imperative for a company like Comcast who has over 27 million customers in order to have a system to keep important data to analyze. Using a data warehouse allows them to gather from several databases and then the company can use the information to determine for example how many units of voice products are sold to create the necessary business intelligence to make future decisions and remain

Databases today are essential to every business. Whenever you visit a major Web site – Google, Yahoo!, Amazon.com, or thousands of smaller sites that provide information – there is a database behind the scenes serving up the information you request (Hector, Ullman, & Widom 2008). Database systems are becoming as common in the workplace as the essential one that it can easily be searched, categorized and recalled in different means that can be easily read and understood by the end user.

The lab begins with a simple example of query development using Access; then, evolves to more complex queries which the student should perform after completing the first exercise. The student can create a query with the wizard, with query design view, or with SQL statements. The Northwind database will be used again in this lab.

The world has become a very complex place. From the earliest days of computers, storing and manipulating the data have been a major application focus. There has been enormous growth in the computer and database applications over the past two decades. Database is a group of data which consists of tables, schema, reports and views. Database may be of any size and complexity. For example, a salesperson may maintain a small database of customer contacts which consists of few megabytes in his or her computer. A large

Database plays a major role in any organization. As a Database administrator(DBA) he/she is responsible in developing, implementing and maintaining the databases and DBA 's are also responsible in updating, backup 's and security of the databases. The first Database Management System was developed in the late 1960 's by two firms based on their network data model but in the early 1970’s a scientist of IBM introduced Relational database theory after six years IBM completed prototype on RDBMS (relational database management system). Oracle created the first versatile Relational Database Management Systems In 1983, which allowed organizations to use their DBMS on different machines including mainframes, workstations, and Pc 's. In 1993 Microsoft first created a database application called Access for Macintosh machines. Microsoft SQL server is a RDBMS which is used to store and retrieve the data by other software applications. There are 12 types of servers concentrated on various types of user 's from single computer to large networks (Microsoft SQL DBA).

SQL means Structured Query Language: almost all databases provide an SQL interface. It's a standardised and restricted set of keywords which can be used to query, create and update databases.

languages also support the ability to embed and use the results of SQL queries. The

Coronel, C. (2013). Database Systems: Design, Implementation, and Management, Tenth Edition. Mason, Ohio, United States: Cengage Learning.

Relational database contains data records that do not have a preset of relationships, permitting the user to define his or her relationship when accessing the data. Since users have much control over the data being accessed, relational databases can perform a variety of tasks. Such as defining the database; querying the database; adding, editing, and deleting data from the database; modifying the structure of the database; securing data from public access; communicating within the network; and exporting and importing data (Murthy, 2008).

Since 1960 and beyond the need for an efficient data management and retrieval of data has always been an issue due to the growing need in business and academia. To resolve these issues a number of databases models have been created. Relational databases allow data storage, retrieval and manipulation using a standard Structured Query Language (SQL). Until now, relational databases were an optimal enterprise storage choice. However, with an increase in growth of stored and analyzed data, relational databases have displayed a variety of limitations. The limitations of scalability, storage and efficiency of queries due to the large volumes of data [1] [2].

Databases are normally used by businesses and schools to store their data. These databases are kept secure, and users can only access the information stored on the database they have been granted access to. Now data is added to, accessed, or remove from a database using languages such as SQL (Structured Query Language), MYSQL (My Sequel), etc.

The idea of relational database was first introduced by E.F.Codd at IBM in 1970. It is a kind of computer database in which data is stored in Relations and is represented in the form of tables with rows and columns. Databases can vary in sizes, ranging from very small and simple to very large and complex ones. Database users can access the data practically in an unlimited number of ways. Relational databases help in finding the information in a quick and efficient manner that one is looking for.Today many popular databases use the model of relational database.

Information explosion are refers not only to the increasing amount of information available in digital form, but to the phenomenal growth in the breadth of information dissemination. This approach is often viewed as the result of:

Data has always been analyzed within companies and used to help benefit the future of businesses. However, the evolution of how the data stored, combined, analyzed and used to predict the pattern and tendencies of consumers has evolved as technology has seen numerous advancements throughout the past century. In the 1900s databases began as “computer hard disks” and in 1965, after many other discoveries including voice recognition, “the US Government plans the world’s first data center to store 742 million tax returns and 175 million sets of fingerprints on magnetic tape.” The evolution of data and how it evolved into forming large databases continues in 1991 when the internet began to pop up and “digital storage became more cost effective than paper. And with the constant increase of the data supplied digitally, Hadoop was created in 2005 and from that point forward there was “14.7 Exabytes of new information are produced this year" and this number is rapidly increasing with a lot of mobile devices the people in our society have today (Marr). The evolution of the internet and then the expansion of the number of mobile devices society has access to today led data to evolve and companies now need large central Database management systems in order to run an efficient and a successful business.