Enhancing Customer Data Enhanced Customer Data Repository is a secure and fully supported data repository with problem determination tools and functions. It updates problem management records (PMR) and maintains full data life cycle management. · combination of all the internal structured business data (CRM‚ ERP‚ POS and all the internal system data) and external unstructured data ( Social media data‚ feedback surveys‚ Audios‚ Videos‚ streaming data‚ Call center data‚ images) · unmanageable volumes
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Types of Data Integrity This section describes the rules that can be applied to table columns to enforce different types of data integrity. Null Rule A null rule is a rule defined on a single column that allows or disallows inserts or updates of rows containing a null (the absence of a value) in that column. Unique Column Values A unique value rule defined on a column (or set of columns) allows the insert or update of a row only if it contains a unique value in that column (or set of columns)
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Advantages of Database Management Systems Database Management System (DBMS) aids in storage‚ control‚ manipulation and retrieval of data. This article lists the advantages of database management systems. Database is a software program‚ used to store‚ delete‚ update and retrieve data. A database can be limited to a single desktop computer or can be stored in large server machines‚ like the IBM Mainframe. There are various database management systems available in the market. Some of them are Sybase
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System SR-rm-005 Database for B2B Web Site SR-rm-006 Windows OS Upgrade SR-rm-007 Analysis of the WAN SR-rm-008 Legacy Problems in the WAN SR-rm-009 Internet Security in the WAN SR-rm-010 Offshore Outsourcing of the WAN SR-rm-011 Adding Wireless to the WAN SR-rm-012 Business Systems SR-rm-013 Information Systems Security Review SR-rm-014 Project Manager Replacement SR-rm-015 Security Assessment SR-rm-016 Departmental Integration Planning SR-rm-017 Database Integration SR-rm-018
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and yet the current ways of students’ registration‚ examination and keeping other records such as financial records are partly paper based this renders the whole process cumbersome and inefficient and can lead to such problems as loss of data or unavailability of data when needed. From the information collected through oral interview‚ questionnaires‚ observation written literature and journals it was found that paper based means of keeping students records is widely used. This project has therefore
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Patrick Cunningham ITM220-J November 8‚ 2013 Big Data Big Data‚ an inspirational novel about the collection and processing of massive amounts of data was eye-opening and encouraging. This collection of data over a long period of time has been processed and used towards many different aspects throughout the world. Dilemmas such as tracking the H1N1 virus‚ to buying the most inexpensive plane tickets‚ all the way to predicting dangerous manholes explosions have all been processed and tabulated
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project. In primary data collection‚ we collect the data ourselves by using methods such as interviews and questionnaires. The key point here is that the data we collect is unique to us and our research and‚ until we publish‚ no one else has access to it. There are many methods of collecting primary data and the main methods include: • QUESTIONNAIRES • INTERVIEWS • FOCUS GROUP INTERVIEWS • SURVYES • OBSERVATION • DIARIES • ANALYSING THE DATA The primary data‚ which is generated by
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Research Project - Data Protection Data can be collected by organisations such as the websites we use daily‚ such as Facebook and Twitter. They have our information such as our age‚ date of birth‚ home address and other personal information which we would not share with strangers‚ and it is their job to protect that data‚ so that it doesn’t get into the wrong hands‚ such as scammers. Organisations may collect information from you in a number of ways‚ over the internet‚ over the phone‚ or also
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WORLD DATA CLUSTERING ADEWALE .O . MAKO DATA MINING INTRODUCTION: Data mining is the analysis step of knowledge discovery in databases or a field at the intersection of computer science and statistics. It is also the analysis of large observational datasets to find unsuspected relationships. This definition refers to observational data as opposed to experimental data. Data mining typically deals with data that has already been collected for some purpose or the other than the data mining
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WEEK-3 Data Abstraction Destructors • Destructors are functions without any type • The name of a destructor is the character ’~’ followed by class name – For example: ~clockType(); • A class can have only one destructor – The destructor has no parameters • Destructor automatically executes when the class object goes out of scope C++ Programming: Program Design Including Data Structures‚ Sixth Edition 2 Data Abstract‚ Classes‚ and Abstract Data Types • Abstraction – i
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