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Report on Database Technologies

Category: Computer Sciences Paper Type: Report Writing Reference: APA Words: 1550

Abstract of Database Technologies

In today’s era, almost everything needs to be equipped with latest & the advanced technology. The more there is need for innovation and advancement the more it requires saving the data at a secure and safe place. A system that better helps to maintain records of computer along with the retrieval of data is called database. Databases store, arrange, and process data such that makes it simple for us to return and discover what we're searching for.  Application programs demand DBMS to recover, adjust/embed/erase information for them and in this manner it goes about as a layer of deliberation between application programs and document framework. The examples for data being managed by such kind of system may include management of the employee’s records, payroll, management of projects, inventory management, library book’s management as well as the management of the student’s information etc. For environment of the database, there are actually five main components. These include data, hardware, software, people and procedures. The information from database is obtained by making use of structured query language. NoSQL envelops a wide range of database advancements that were created because of the requests exhibited in building current applications:

Key words: Innovation, database, DBMS, NoSQL

1.Introduction of Database Technologies

Current era is all about technological advancement and innovations. Almost everything needs to be equipped with latest & the advanced technology. The more there is need for innovation and advancement the more it requires saving the data at a secure and the safe place. It is about making use of the database.

Database: A database is basically a system that better helps to maintain records of computer along with retrieval of the data. There exist interrelated records for data which are arranged as a collection.

Database Management System: If we talk about the DBMS (database management system) then it can be said that it is an assortment of interrelated documents and set of projects which enables clients to get to and alter records. It gives an advantageous and productive approach to store, recover and adjust data. Application programs demand DBMS to recover, adjust/embed/erase information for them and in this manner it goes about as a layer of deliberation between the application programs and the document framework. DBMS goes about as a layer of reflection over the File framework. For interfacing with the DBMS we utilize a Query language called Structured Query Language (SQL).

If it the case of the spreadsheets, then they tend to process the numbers. For the databases, the processing of the data especially the data in an organized form is mandate.

Spreadsheets process numbers; databases process data—explicitly, organized data. Databases can be intended for doing pretty much anything with data i.e., track, compose, and alter information; gather information as well as making of the reports. It also helps to work for the establishment of the data rich, powerful sites (careerbless, 2019).

2.      The significance of the database technologies

The significance of the database technologies is as given:

·         The significance of database management system is proved based on the fact that it helps in the multitasking along with the efficient management of the data.

·         By making use of database management systems both the operational efficiency and the reduction of the costs, associated with the business processes, can better be attained.

·         There is a possibility that multiple users can have the access to these systems at once. There is no need to wait for the completion of the other’s task (manomayasoft, 2019).


Figure: A distributed Database System

The examples for such systems may include as given:

The database management system can be used by the human resource management department of the company.

It helps the firm to maintain the records of the employees along with the provision of the legal & authorized information to the firm’s employees. Also, the hiring of the employees may use such systems for recording all the activities related to the hiring procedure. The more accurate the records are maintained the better it will help to get know how about the firm’s profitability.

The provision of the well-organized and smoother environment is possible due to the database management systems.

 

Figure: Database Management System

NoSQL envelops a wide range of database advancements that were created because of the requests exhibited in building current applications.

Engineers are working with applications that make enormous volumes of new, quickly changing information types: organized, semi-organized, unstructured and polymorphic information.

Since quite a while ago gone is the twelve-to-multi month cascade advancement cycle. Presently little groups work in deft runs, repeating rapidly and pushing code each week or two, some even on different occasions each day (searchdatamanagement, 2019).

 

Figure: NoSQL Database

3.1 NoSQL Database Types & Database Technologies

As per Microsoft different types of NoSQL are as given:

·         Document databases: This type of NoSQL tends to provide the pair for every key in the form of more complicated data structure. There is a possibility to have various key-value pairs for the documents. These are also termed as nested-documents.

·         Graph stores:  This type helps to store the data related to the data networks. It is specifically related to the social connectivity. The forms of graph stores include the Neo4J as well as Giraph.

·         The simple form of NoSQL databases includes the key-value stores. In the database, the items are stored as the key-value pairs.  The significant examples include the Berkeley DB as well as Riak etc.

·         For serving the large databases, the optimized queries are run through the wide-column stores. These may include Cassandra & HBase etc.

·         As far as the NoSQL database of Amazon is concerned then DynamoDB is perceived to be the NoSQL which is fully-managed. It tends  to provide with the quick and easy services which are having the seamless scalability. It is more challenging to design the data models.

3.2 Benefits of NoSQL of Database Technologies

·         NoSQL tends to provide with the superior performance through the scalability.

·         Its data models better help to cater several structural issues.

·         It helps to deal with the large volumes of the data

·         Helps for the iterations of the schemas quickly

·         Makes the use of the object oriented programming in a better way (greymatterindia, 2019).

When we talk about NoSQL, then following parameters need to be considered:

·         Dynamic Schemas

·         Auto-Sharding

·         Integrated Caching

·         Replication

Dynamic Schemas: For the relational databases there is a need to have the well-defined schemas before the data addition. An example may include the maintenance of the records related to the customers like their first name, last name, contact number, city, and address etc. For the SQL database, it is mandatory to know in advance what you are going to store to the database.

For NoSQL databases, there is no need to have idea in advance about the schema of the data to be inserted. The main agenda behind it is to avoid service interruptions along with making real-time changes to the applications.

It better helps to provide with the faster development. The integration of the code becomes easier. The time required for the administration of the database also reduces. If it is the case of more sophisticated NoSQL databases, then the validation rules are applied within the database. It tends to make possible the governance across the data as well as the database.

Auto-Sharding: The phenomenon of auto-sharding can better be used in the context of NoSQL databases. It means that NoSQL has the capability for spreading the data automatically & natively to the multiple number of servers. The concept that lies behind says that application has nothing to do with the formation of the pool of the servers at multiple places. Both the queries and the data are well maintained across the servers. In case any of the servers go down, no application tends to face any kind of disruption.

Integrated Caching: It is perceived to be the most significant functionality of the NoSQL databases. This feature helps to keep the most-frequently used data into the memory of the system to the maximum possible extent of time frame. It thus eliminates the need to maintain a separate layer for the caching purposes. NoSQL also provides with the in-memory layer to better support the management of the database.

Replication: In order to provide the services for the provision of the automatic replication of the database, NoSQL is a better suggestion. It is required specially when it is the time of outages or the events for the maintenance are better planned. This feature provides the NoSQL with the ability to spread the database not only in the local regions but also in the multiple geographical areas. It is actually the concept of the localization of the data.

References of Database Technologies

careerbless. (2019). Introduction to database management system. Retrieved from https://www.careerbless.com/db/rdbms/c1/intdbms.php

greymatterindia. (2019). Importance of NoSQL over relational databases. Retrieved from https://www.greymatterindia.com/importance-of-nosql-over-relational-databases

manomayasoft. (2019). What is the importance of a database management system. Retrieved from https://www.manomayasoft.com/blog/item/210-what-is-the-importance-of-a-database-management-system

searchdatamanagement. (2019). NoSQL (Not Only SQL Database). Retrieved from https://searchdatamanagement.techtarget.com/definition/NoSQL-Not-Only-SQL

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