sorts of people need access to companies’ databases. In addition to a company’s own employees‚ these include the company’s customers‚ potential customers‚ suppliers‚ and vendors of all types. It is possible for a company to have all of its databases concentrated at one mainframe computer site with worldwide access to this site provided by telecommunications networks‚ including the Internet. Although the management of such a centralized system and its databases can be controlled in a well-contained manner
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Era of Databases The movement towards the use of the Database Management System Alex P. Pasion‚ MIT Instructor Topics Why is there a need to study File Processing and DBM? Historical Perspective. History of Database Processing. Preliminaries Why is there a need to study File Processing and DBM? Why do we use Databases? Simply because of ourselves and there is always something that happens around us. Collect Data Use and Reuse data Historical
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relational databases are two different manners in which to store and organize data that also allow management and utilization of that data. There are essential aspects that any database should be able to provide‚ those of creating‚ reading‚ updating and deleting data. Upon becoming familiar with how each database is set up‚ it is important to look at the advantages and disadvantages of each model in determining which type of database one would want to utilize. The hierarchical database is one of
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Data Processing All through the different stages in civilization‚ man has always tried to look for ways to simplify work and to solve problems more efficiently. Many problems involved numbers and quantities‚ so man started looking for easier ways to count‚ to add‚ subtract‚ multiply and divide. As society has grown in both size and complexity‚ so have data that are generated by it through time. Definition of Terms Data – is defined as any collection of facts. Thus sales reports‚ inventory
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Data Mining: What is Data Mining? Overview Generally‚ data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue‚ cuts costs‚ or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it‚ and summarize the relationships identified
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delivery 2) 4 Difficulties d) Data type e) Data manipulation f) Data storage g) Data delivery 3) Importance h) Store Image (eg:museum) i) Search and manipulate content 4) Types j) Images k) Audio l) Video m) Document n) Handwritten 5) Application o) GIS‚CAD‚Face-retrieval‚doc imaging‚ medical db‚ web 6) Characteristic p) Treat mdb same way as data based 7) 4 Challenges q)
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MIS 6326 (Database Management) ( AIM 6337 (Data Strategy & Management) Assignment 2: Chapters 4 & 9 Due date: August 2‚ 2012 Using the Chapters 4 & 9 University Database create one “SELECT” SQL statement for each of the following question.[1] [Note‚ the SQL statement may include nested queries.] Turn in SQL statements only. (You do not have to turn in the results of SQL statements.) 1. Get the faculty numbers and names of MS department professors whose salary is greater than 68000
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IT433 Data Warehousing and Data Mining — Data Preprocessing — 1 Data Preprocessing • Why preprocess the data? • Descriptive data summarization • Data cleaning • Data integration and transformation • Data reduction • Discretization and concept hierarchy generation • Summary 2 Why Data Preprocessing? • Data in the real world is dirty – incomplete: lacking attribute values‚ lacking certain attributes of interest‚ or containing only aggregate data • e.g.‚ occupation=“ ”
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Data Warehouse Concepts and Design Contents Data Warehouse Concepts and Design 1 Abstract 2 Abbreviations 2 Keywords 3 Introduction 3 Jarir Bookstore – Applying the Kimball Method 3 Summary from the available literature and Follow a Proven Methodology: Lifecycle Steps and Tracks 4 Issues and Process involved in Implementation of DW/BI system 5 Data Model Design 6 Star Schema Model 7 Fact Table 10 Dimension Table: 11 Design Feature: 12 Identifying the fields from facts/dimensions: MS: 12 Advanced
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Outline Introduction Distributed DBMS Architecture Distributed Database Design Distributed Query Processing Distributed Transaction Management Data Replication Consistency criteria Update propagation protocols Parallel Database Systems Data Integration Systems Web Search/Querying Peer-to-Peer Data Management Data Stream Management Distributed & Parallel DBMS M. Tamer Özsu Page 6.1 Acknowledgements Many of these slides are from notes prepared by Prof. Gustavo
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