Database Server Report

The database server term may refer to software as well as hardware that is useful to run the database in any kind of system. A database server, as a software, is database application’s portion of the back end, following a traditional trend in sever of the client. Sometimes, the portion of the backend is called instance as well. Moreover, it may refer to a physical computer as well that is being used in order to host a database. When mention in the discussed context, typically the database server is a dedicated system to higher end by which database is being hosted. Following image shows how database server works:

Source: https://pspdfkit.com/guides/web/current/server-backed/overview/

Moreover, it is to be noted that the database server does not depend on the architecture of the database. All of the architectures such as flat files, relational database, and non-relational database can possibly be accommodated on the database servers. There is dedicated host, in a client-server computing model, to serve up as well as run up the resources, one or more than one software applications typically. Several clients are also there who can be connected to a database server and resources use hosted as well as offered by the server (Jensen & Anderson, 2007).

Major Components of Database Server Report

            Database servers can be relational or non-relational. A relational database can be called SQL database or RDBMS (Relational Database Management Systems). The most popular type, historically, out of all have been the Oracle Database, IBM DB2, MySQL, and Microsoft SQL server. Mostly RDBMS is used in the scenario of large enterprises along with MySQL’s exception that is useful for web applications as well as store the data. All of the relational databases are useful to manager OLTP which are a transaction-oriented application, and in the categories of Column Stores and Document Stores, most of the non-relational databases can be used for OLTP as well that adds the confusion between both of these.

            It can be thought that OLTP databases are in fact operational databases which are used for operational purposes and can be frequently characterized, short transactions including time to time different updates, touch a small data amount, and provide money to more than hundreds of transaction (not more than thousands) such as online reservations and banking applications. Following image shows the relations between client and database server components:

Source: https://docs.oracle.com/cd/E18283_01/owb.112/e17130/overview.htm

            At Microsoft, a Big Data Evangelist, James Serra, discussed multiple things such as advantages and disadvantages, differences, and various relational and non-relational database’s use of cases during his presentation at the Enterprise Data World Conference. He started with the facts and discussed that the main important thing is an integrity of data, as Atomicity, Consistency, Isolation, and Durability (ACID) transactions are supported by RDBMSs. Data integrity needs have been provided by RDBMS for decades, however, data’s exceptional and increasingly growth over the past ten years or more, have to change the equations of data completely along with so many new types of data, and this is the reason that non-relational database has been growing to fulfil such needs.

            Furthermore, NoSQL databases term can also be used for non-relational databases this NoSQL term is widely being used in the industry, but this name of the non-relational database is starting to lose the fame because the complexity didn’t meet completely along with the non-relational data stores’ range that is currently available. Some of the most famous non-relational databases or NoSQL that was discussed by Serra are Document Database, HBase, Mongo Database, Coachbase, Cassandra, Neo4j, and Redis.

            If not thousands, there are hundreds more literally. In the entire discussion, one more thing was Hadoop and it was stated by Serra that Hadoop is basically a system of the file that has the components made up of HDFS (Hadoop Distributed File System), MapReduce, and Yarn. So while relational and non-relational database discussion’s significant part is Hadoop, there are some other components included in as well (Foote, 2016).

SQL Database Server of Database Server Report

            SQL Database server is a product of Microsoft that is being used to store as well as manage the information. SQL Database server is technically a RDMS (Relational Database Management System). This term, broken apart, means two things i.e. the SQL Database server is an entire system of management not only a database, and the data that is stored in SQL Database server will be kept in the relational database. SQL, itself, stands for Structured Query Language that is being used to administer as well as manage the database server.

            As the SQL Database server has been described into two terms i.e. a management system and relational database, these two terms are to be explored first. Relational database means that the data is stored in the table in the structured form of columns and rows just like the spreadsheet. The data rows stored, unlike the spreadsheet though, inside the table is not in some certain order (Cherry, 2012).  

            Moreover, the database basically is the logical container object that is used for data storage like information’s type together to provide assistance to some organization. The SQL Database server, also, is useful for the easy boundary of security it normally separates multiple distinct applications from each other. For instance, all of the information regarding the accounting system is able to be contained in the one database, while all of the information regarding market can be contained in some other database. From the perspective of an organization, it would be very confusing, but the SQL Database server would allow it to be done. Following image shows broker architecture of database server:

Source: https://nhcentral.com/Blog/TabId/2834/ArtMID/18569/ArticleID/1299/Free-Resources-for-SQL-Server.aspx

            Conversely, it is possible to separate each little as well a large group of organizational information into the database of that organization, having thousands as well as hundreds of databases in the single SQL Database server. This scenario can be considered a management nightmare, but the SQL Database server does not have any rules to prevent this management nightmare. A common sense rule is normally used to determine what should be contained by SQL Database server if the object, as well as data, are related to each other that is good for applying security and protection to the whole group then the candidate is good enough to have own database (Cherry, 2012).

            In addition, more than 32 thousand separate databases can be contained in a single SQL Database server. The management system is the second term that is being used to describe the SQL Database server that shows that SQL Database server is not only an application but more than that to hold a data. SQL Database server includes the tools required to manipulate, manage, and structure the data. Furthermore, there are options while installing SQL Database server for including management interfaces, analysis tools, data import-export applications, and report writing tools (Cherry, 2012).

Future Trends of Database Server Report

                Trend come and go but there the database management has multiple concepts that have staying power along with the power of multiple transform organizations. A vision for the converged database system is one of the top future trends of the database. Within the single database offering, it is possible to have it all, for example, the architectural reason is not there why the database system should be unable to offer the consistency model that so tunable including ACIC transactions with one end strict multi-record and an eventual consistency style mode, at the other end (Burleson, 2018).

                    The features of the document store and relational model are to be combined, at starting by following the current and existing trends in database server toward allowing database typed such as JSON within the relational table. Disruptive database technologies is another trend to be introduced in the database server. It is really a useful pastime to extrapolate the existing technologies and often is only available and predictive technology. Universal memory is also one of the great future trends in the database server. The universal memory will be significant to provide great speed that will be equal to Random Access Memory together with the storage economics of disk, persistence, and durability (Harrison, 2016).

Conclusion of Database Server Report

            In a nutshell, the database server is the computer system by which other computers are provided with services such as retrieving and accessing the data from the database. All of the architectures such as flat files, relational database, and non-relational database can possibly be accommodated on the database servers. Database servers can be relational or non-relational. A relational database can be called SQL database or RDBMS (Relational Database Management Systems). The most popular type, historically, out of all have been the Oracle Database, IBM DB2, MySQL, and Microsoft SQL server.

            The important thing is an integrity of data, as Atomicity, Consistency, Isolation, and Durability (ACID) transactions are supported by RDBMSs. Data integrity needs have been provided by RDMBS for decades. NoSQL databases term can also be used for non-relational databases this NoSQL term is widely being used in the industry. Some of the most famous non-relational databases or NoSQL that was discussed by Serra are Document Database, HBase, Mongo Database, Coachbase, Cassandra, Neo4j, and Redis. Relational and non-relational database discussion’s significant part is Hadoop. A vision for the converged database system is one of the top future trends of the database. Disruptive database technologies and Universal memory are also one of the great future trends in the database server.