Database management system

Survey on graph databases XIAOTONG FU Informatics, University of Edinburgh Abstract. Graph databases, also called graph-oriented database, is a type of not only SQL (NoSQL) database based on graph theory that can store, map and query data relationships. Because this kind of database ensures its robust performance in processing graph-like data, it has been widely used in industry, for instance, Facebook and Twitter are using graph databases to store and analyze their user proles. This paper re- viewed

IBM i from other platforms, including its storage, security, and programming models. But one of the most unique aspects of the IBM i platform is its integrated DB2 database, which is used exclusively by practically all IBM i customers. You just dont find this on other platforms. But perhaps its time for IBM i to diversify its database support? In many respects, DB2 for i is the platforms greatest strength. IBM i is renowned for its transaction processing prowess that drives ERP and other line of

THE MAJOR TOPIC OF THIS DATABASE IS TESTING (DRUG TESTING) STATEMENT OF WORK: TESTING DATABASE PROJECT HISTORY A hospital is conducting a double blind test of a new depression drug. The test is expected to take into consideration 20 doctors and about 400 patients to be tested. It is planned that half of the patients will get the new drug and half will get traditional Prozac and neither the doctors nor the patients will know who is getting which drug and at what time. The test is organized such that

objective of the document is to detail the steps necessary to implement a Big Data database platform to achieve what is called an Enterprise Data Lake and to improve Enterprise Data Hub where all data stored in one place and integrated with existing infrastructure and tools. Relevance Presently, I am working as a Database developer in a Software company. My primary role is to help my clients in implementing appropriate database architecture and analyzing data so that my clients can understand their users

this large amount of data to make it usable. Hadoop is definitely the preferred framework to analyze the data of this magnitude. 4.1 Hadoop Data Analysis Technologies While Hadoop provides the ability to collect data on HDFS (Hadoop Distributed File System), there are many applications available in the market (like MapReduce, Pig and Hive) that can be used to analyze the data. Let us first take a closer look at all three applications and then analyze which application is better suited for KISAN CALL

ranging traditional database tables and spreadsheets to SMS text messages, PDF files, HTML web pages and more. While the value in capturing and analyzing this data is clear, the solution is not. Traditional data warehouse technologies were not designed for this volume, velocity and variety of data, which is collectively referred to as big data. Some people believe that the answer to challenges posed by big data lie in a relatively new group of non-relational data storage and management products known

the computer and the internet we have witnessed almost every business worldwide discard the timely usage of paper documents and filing systems and welcome the use of database servers which has enabled greater productivity, accuracy and availability. Many businesses like banks obtain highly sensitive personal information from their clients which is stored on database servers and encrypted with the goal of protecting their data from unauthorized users. Data being stored on servers creates an illusion

4. DATABASE SECURITY REQUIREMENTS 4.1. ORACLE SECURITY Just like the computer systems controlled access requirements, authentication on the Oracle level is also required were a user must enter a distinct ID and password. According to Mehta (2004), “user authentication at the Oracle level can be configured through creating custom profile(s) within the dba_profiles table. A profile within Oracle is a set of controls that can be applied to users. Different profiles can be created for different classes

Author: Orest Pochodaj Date: April 28th, 2015 Author Note This paper has been compiled as the final project for the course: Boston University, MET CS 674 – Database Security. This paper contains all relevant material which aligns with the mission of this course – to teach students the tools and techniques required to secure and audit a database system in the information technology era. Abstract As discussed in her book - Introduction to Private Security – author Karen M. Hess states that “security

aspect that can be overlooked from various people however software needs to be addressed as we might decide to move to a different software infrastructure but keeping the same infrastructure will be easy to maintain. Applications as well as operating systems need to be addressed when it comes to this process as well. Within the cloud the option arises that users are able to work from home but this option will