Cloud Computing: Testing a Key Generation Encryption Algorithm

On the cloud computing the number of instances represents the space that application shares. AI artificial intelligence and machine learning nowadays has been used as a provision system for virtualization purposes in the cloud. A database on cloud is hosted in an instance and is ready to be filled with data. Database is an organized collection of information that is stored and accessed by applications. Database instance contains raw data, figures, values. Database Management System it is possible to manage data such as queries and table schema. An example of database management system where all the utilities that the system offers, dbms is the interface system of the database, that includes data storage, data retrieval administration, reports and data security. The database makes use of a schema which is a set of rules. The table that is part of the database can be organized as a schema. The importance of the database is to ensure that data are stored and later to be accessed. Technologies are using schema, write into the database entries into separate tables. Operational data is the data produced by the organizations. Transaction are the operations that take place into the database such as updates. Next the OLTP represents the online transaction processing. Applications that makes use of queries are ATM (automated teller machine). The OLTP is make use of the ACID model(atomic,changing,isolation, durables) are transactions that takes place under specific constraints. Modern technologies are facing issues such as high volume data on the database and low-latency of the OLTP system. OLAP is the data analysis, and are technologies of data aggregation and queuing them using ascending ordering. The technologies are highly depend to each other the OLTP applications that handles operational data and the OLAP that querying them for aggregation analysis. Scaling the process of managing the underlying resources. The scale up handles the computing power and the temporary memory that is required for an instance to run and the scale out increase the number of databases. Data warehouse is a single place data from multiple data sources. Ingest large amounts of data, optimized for OLAP use cases. In a data warehouse makes uses of big data and are petabytes. Row is going to be transformed to a new structure OLTP database. Data Lake is a centralized repository for storing all structured and unstructured data. Keeps the collected data and is not possible to transformed the data or copy them.