Research in Cloud Storage

Cloud Storage a development has fundamental impacts on many individuals and enterprise companies from storing data to analyzing data. It is a model of data storing in which data is stored in logical pools. The cloud computing platforms such as Amazon web service, Apache web stack and Google cloud platform provide data analysis tools which are not available on traditional databases such us Mysql or Microsoft SQL server. They also provide a broad range of services to help us build and deploy big data analytic applications quickly and easily using AWS. This literature review is a critical analysis and will be focusing on the usage of Cloud-based data storage as a data storing service, the critical analysis will enlighten the background of Cloud Data Storage and also many advantages and disadvantages that it may provide for the service providers such as Google cloud storage or AWS.

The main focus of the literature review is to collect the information through different resources about acceptance of Cloud-based database in terms of creating a hybrid database for use on all platforms such us mobiles web apps etc. Aims and objectives •To use a cloud-based database for our project database that can be scalable and run on a cloud computing platform that could be private, public or hybrid. •Compare different database structures and technologies to prove why a cloud-based database is more preferable to be used on a project like this. •Analyse the results to evaluate why users and companies are adapting to use the cloud-based database in terms of mobile and web technologies. 1.Application Database Background The Database for the paycheck app will be cloud-based. Since the app is going to be hybrid we will use a firebase (real-time database) database for our app. More information regarding the database model will be presented below. We will discuss each process and step that will be performed for each table and the purpose of each table will also be described as well as the relation of each table with the other table.

Each table will be followed by a sample of data. Ideal database roles will be suggested and their purposes will be explained. The database will follow relational database rules known as RDBMS rules to assist in the mission of data integrity and prevent data from duplicating and getting any anomalies. This proposal will only cover the basic tables and relations to build our paycheck app. The remaining data tables will be covered after the requirements gathering phase.

More details about the implementation will be provided at the end of the proposal such as any design or product improvements and new features. research regarding the Database Cloud database is a database which typically runs on cloud computing platforms such as Amazon web services (AWS), APacheCloudStack and Google Cloud Platform. In cloud databases the data is stored as a cloud storage service so the data is only accessible as a service, there is no physical existence of the database on any local storage.The regular backup of the database is being taken from the service provider such as AWS and APacheCloudStack and Google firebase database. There are two cloud database environment models which are being used by the service providers namely, Traditional cloud model and Database-as-a-service (DBaaS). In the Traditional cloud database model, it is similar to Oracle or MySQL databases systems in which the content database will be run on a specific enterprise infrastructure and any oversight will fall into the shoulders of the IT staff of the company. Normally we call them the users of these specific databases.

On the other hand, Database as a services DBaaS runs on the service provider infrastructure such as Google firebase database, Microsoft Azure etc. They're responsible for any hitches or glitches that may occur. These services all provide databases that have been specifically designed for the cloud. Firebase It is a mobile and web-based development platform developed by Firebase which was acquired by Google in 2011. We are going to use Firebase cloud database in our project. it has a cost-free app-measurement tool that provides app usage and user engagement data. It is also known as Google cloud messaging (GCM). Firebase cloud messaging (FCM) has cross-platform support for Android IOS and web applications. Amazon Web Services Amazon web services (AWS) has a variety of cloud services for small business to large enterprises, it includes both relational and NoSQL databases.

Amazon RelationalDatabase runs on MYSQL, Oracle, and SQL server instances while amazon simpleDBor NoSQL services is a schema-less database which can be used by smaller businesses. Amazon Dynamo DB is equipped with SSD which automatically replicates workloads across the globe. Amazon offers both free AWS and paid services depending on the storage.1.2.1Cloud SQL by GoogleCloud SQL by Google is another type of database service offered by Google, it is both an SQL and NoSQL database. It has relational databases and a big query analysis tool which runs on Google cloud platform1.2.4 Google AppEngine Data Store Google'sAppEngine Datastore is a new type of data store engine and it is not a free service, it is the alternative of Relation database. The pricing of Google’s AppEngine data storeis given below.1.2.5Microsoft Azure Document DB Microsoft Azure supports two different cloud implementations. Microsoft Azure document DB is a NoSQL database service that supports both JavaScript and JSON datasets. It is a reliable and latches free database engine which offers SSD speeds which increase read and write speed.1.2.6Microsoft SQL Azure Database Microsoft offers SQL Azure Database as a standalone service. Most customers stated that SQL Azure delivers a reliable cloud database platform to support various small to moderately sized applications as well as other data management requirements such as backup, disaster recovery, testing, and collaboration.