E Commerce : A Storage Environment

A database is a structural set of related data that is organized in such a way that the information can be easily managed, accessed, and updated. The purpose of a database is to replace paper documents, files, and filing cabinets. The data collected in databases is an efficient way to store, retrieve, and analyze the information.

Utilizing databases within a department allows users to access various types of information all at once as well as link information from different sources. Information data is processed, organized or summarized, records data is a collection of logically related fields or items, and file data is a collection of related sequence of records.

With the benefits of big data such as high data velocity, data variety, data volume and data complexity; The weather company can improve their forecasting at a very fast rate. Below I will list and describe some initial problems which big data could solve:

Databases can be used by businesses for managing accounts, inventory, personnel information, customer information, and any other record keeping needs. Phone companies have extensive databases for keeping track of customer’s calls for monthly statements, likewise with mobile phone companies. Banks transactions are all recorded in databases. The DMV has records of all drivers and motor vehicles. IRS databases contain income related information of everyone in the country. Ultimately, databases are everywhere. One can only wonder how many records relating to you are stored across what is now a forest of databases.

According to Rouse (2006), “Computer databases typically contain aggregations of data records or files, such as sales transactions, product catalogs and inventories, and customer profiles” (Rouse, 2006). Databases can hold a sufficient of information that are deemed valuable by

Database is any collection of data or information, that is specially organized for rapid search and retrieval by a computer. Databases are structured to facilitate the storage, retrieval, modification, and deletion of data in conjunction with various data-processing operations.

“Databases, data warehouses and marts, and BI encompasses technology that make it possible for managers to make decisions and act with clarity, speed, and confidence”, states Turban (2013).

Many organizations industriously look for the opportunity to gain the competitive advantages in their industries. One of the opportunities that frequently used by the organization is the implementation of e-commerce. Thus, the e-commerce and the online sale transaction become popular in each industry. E-commerce provides many benefits, such as the saving of shopping time, the cost savings, convenience, and free from geographical constraints.

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.

NoSQL Databases also referred as Not only SQL databases. These NoSQL database have these days gained much attention and reputation because of their performance and high scalability. The advantage of NoSQL database is to store efficiently unstructured data. These days use of e-commerce websites, social networking sites etc. has been increased. These usage made to create the need to store the large data. Some companies have adopted NoSQL databases, as their data is growing. Dynamo, Big table, Voldemort, Cassandra are the NoSQL databases that are used by Amazon, Google, and LinkedIn and Facebook respectively. Facing these huge data has become challenging for Relational Database Management Systems. Hence NoSQL database came into existence. Mostly Relational Database Management System satisfies ACID properties, through NoSQL database we can achieve high level of Scalability and performance. As a lot of sensitive data is stored in NoSQL databases security issues becomes growing concerns.

With the development of technology, information storage and management have been vital of importance. Information effectiveness and efficiency are determined by how well data is organised and processed. The term ‘data’ have been widely employed in different human activities, including science, business, education, law and the like. Here, data is a means for representation of facts, concepts, and instructions in order to communicate (Sumathi & Esakkirajan 2007). Nevertheless, if data management is ineffective, and relevant information cannot be found quickly, a large amount data will become a liability rather than an asset of an organisation; thus, tools used for data management give rise to the occurrence of database

A database is an organized collection of data. It is the collection of tables, queries, reports, viewings, and other objects. The data are typically organized to model aspects of reality in a way that supports processes requiring information, such as modelling the structure of a major business such as Walmart, and all of its data including things like their inventory, customers, and their employees. A database management system is a computer software application that interacts with the user, other applications, and the database itself to capture and analyze data. A general purpose database management system is designed to allow the definition, creation, querying, update, and administration of databases.The Database uses terms that are key for anyone to sift through the collection of data that any company or business collects. terminology consists of keywords that will help users select desired pieces of data.

The company chosen for analysis of database management is Amazon Incorporated. Amazon is an online shopping portal that is now listed as the 4th largest database holder, even above firms like YouTube or

Currently, there are two major of database management systems which are used to deal with data, the first one called Relational Database Management System (RDBMS) which is the traditional relational databases, it deals with structured data and have been popular since decades from 1970, while the second one called Not only Structure Query Language databases (NoSQL), they have been dealing with semi-structured and unstructured data; the NoSQL term was introduced for the first time in 1998 by Carlo Strozzi and Eric Evans reintroduced the term NoSQL in early 2009, and now the NoSQL types are gaining their popularity with the development of the internet and the social media. NoSQL are intending to override the cons of RDBMS, such as fixed schemas, JOIN operations and handling the scalability problems. With the appearance of Big Data,

NoSQL was created in the response to relational databases not being able to handle the scale and changing challenges of modern applications, they also cannot take advantage of the cheap, easy storage abilities and also the processing power accessible now. NoSQL includes a variety of different technologies that were developed in response to the surge of data stored by users, objects and products. They were also developed to contend with the rising frequency that the data is accessed and the performance and processing needs. [7]