DATA COMPRESSION The word data is in general used to mean the information in digital form on which computer programs operate‚ and compression means a process of removing redundancy in the data. By ’compressing data’‚ we actually mean deriving techniques or‚ more specifically‚ designing efficient algorithms to: * represent data in a less redundant fashion * remove the redundancy in data * Implement compression algorithms‚ including both compression and decompression. Data Compression
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Activity 1 Reasons why organisations need to collect HR Data. It is important for organisations to collect and retain HR data as this will be key for strategic and HR planning. It will also help to have all the information necessary to make informed decisions‚ for the formulation and implementation of employment policies and procedures‚ to monitor fair and consistent treatment of staff‚ to contribute to National Statistics and to comply with statutory requirements. The key organisational
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Process in Houston CIVT 301 Outline Wastewater collection data in Houston What is sewage treatment? Where does wastewater come from? Factors that affect the flow of pipelines Industrial wastewater? Storm water/ Data The treatment plant operator Sources of wastewater Why treat wastes Waste water treatment facilities Treatment processes Drinking water What can be done to help? Wastewater collection data in Houston 640 square miles area 3 million citizens served 6‚250 miles
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Crime Data Comparison Comparing similar crimes‚ in metropolitan area such as Phoenix and Dallas. The FBI Uniform Crime Report (UCR) data shows in 2009 Phoenix had 76 reported murders‚ and Dallas with 86. Dallas with a lower population number of 1‚290‚266 had higher murder rate‚ Phoenix with population of 1‚597‚397 reported in 2009. Reported murder rates dropped in both areas in 2010‚ Dallas with 73‚ and Phoenix with a reported 50. “National reports a decrease of 6.2 percent of violent crimes during
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Weibo Monthly Rate | | Increase in Follower | Engagement | Jan - Feb | 5.21% | 7.71% | Feb - Mar | 3.34% | 7.73% | | | | Renren Monthly Rate | | Increase in Follower | Engagement | Jan - Feb | 10.00% | 10.00% | Feb - Mar | 17.50% | 6.40% | | | | Chase Dream | | Increase in Visiting | Engagement | Jan 22 - Feb 4 | N/A | 3% | Feb 5 - Mar 23 | 166.42% | 1.64% | Jan 22 – Feb 4 ChaseDream: Engagement Rate: 33/1099 = 3% Weibo: Engagement: 13+4/356=4
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Be Data Literate – Know What to Know by Peter F. Drucker Executives have become computer literate. The younger ones‚ especially‚ know more about the way the computer works than they know about the mechanics of the automobile or the telephone. But not many executives are information-literate. They know how to get data. But most still have to learn how to use data. Few executives yet know how to ask: What information do I need to do my job? When do I need it? In what
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DATA ORGANIZATION‚ PRESENTATION AND ANALYSIS Research Methods 1 Data Organization and Presentation To make interpretation and analysis of gathered data easier‚ data should be organized and presented properly. The usual methods used by researchers are textual‚ tables‚ graphs and charts. 1.1 Textual Data can be presented in the form of texts‚ phrases or paragraphs. It involves enumerating important characteristics‚ emphasizing significant figures and identifying important features of
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Systems In an article written By Suqing Wang‚ eHow Contributor SQL Server Vs. Oracle Data Types Database While designing and defining tables in databases‚ it is important to find out the data type for each column in the data tables. A data type is an attribute which defines the type of data an object can retain: integer‚ string‚ data and time‚ etc. There are basically three main types: text‚ numbers and date/times. The data types are different‚ depending on the database management system (DBMS)‚ the various
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|Case Study: Data for Sale | |Management Information System | | | |
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Systems Coursework Part 1: Big Data Student ID: 080010830 March 16‚ 2012 Word Count: 3887 Abstract Big data is one of the most vibrant topics among multiple industries‚ thus in this paper we have covered examples as well as current research that is being conducted in the field. This was done based on real applications that have to deal with big data on a daily basis together with a clear focus on their achievements and challenges. The results are very convincing that big data is a critical subject that
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