is a key to mastering a key theme, REA modeling. As we progress through this refresher, please pay close attention to the objectives being covered as you see on the screen. The objectives are as follows: problems inherent in the flat file approach to data management that gave rise to the relational database concept, relationships among the defining elements of the relational database environment, stages in database design, entity identification, data modeling, constructing the physical database, and
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and also in supporting us getting quality education remotely. Contents SL No Title Page no 1 Abstract 5 2 Introduction to Databases 6 3 OLTP and OLAP Systems 7 4 Difference between OLTP and OLAP 9 5 Data Modeling 13 6 Workflows in Enterprise level Data warehousing 18 7 Business Intelligence tools used in Data flow and Data Warehousing 21 8 Analysis in Data warehousing 24 9 Conclusion 28 10 Foot Note 30 11 References 31 ABSTRACT
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Stored Procedures and Views • Do not preface a stored procedure with sp_. Commonly accepted prefixes are: 1. sp or s (vw or v for views) 2. s21 where the 21 refers to the program number that uses this SP. This has the advantage of keeping all SP's for program 21 together. • The balance of the name should include a description of its action, e.g. 1. UpdateInvoice (note the use of Proper Case and no underscores) 2. InsertEmployee 3. SelectCustomer 4. FindInvoiceItem User Defined
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Review Questions 1. What are the problems of managing data resources in a traditional file environment and how are they solved by a database management system? List and describe each of the components in the data hierarchy. Figure 6–1 shows the data hierarchy. The data hierarchy includes bits, bytes, fields, records, files, and databases. Data are organized in a hierarchy that starts with the bit, which is represented by either a 0 (off) or a 1 (on). Bits can be grouped to form a byte to
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politics of the project if the sponsor’s only involvement is to supply funding and receive monthly status reports. 2. Tool The first decisions to be made are the categories of tools (extract, transform and load, data cleansing, OLAP, ROLAP, data modeling, administration, etc.). Many of these tools are expensive, not just for their initial costs and maintenance costs, but in training, consulting and in terms of the internal people required to implement and support the tool. The tools must match the
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Database Project Documentation Guide IMPORTANT Note on how to present a document No fancy fonts should be used Choose from – Times New Roman Tahoma Verdana Arial The font size should be 12 or 14. (Neither smaller nor bigger) Use 1.5 line spacing. Make sure your document has page numbers. Insert the Company name in the header. 1. Cover Page St. Mary’s College of Tagum National Highway, Tagum City Name of System and Company A Database Project Submitted to the Faculty of
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Database Normalization and Logical Process Concept paper This short paper will explain with a simple example the process and the need of normalization in the most of the business databases. Complete proposal break down (Timeline phases, Financial phases) will be submitted per management request. Overview At first any database should be designed with the end user in mind. Logical database design, also referred to as the logical model, is the process of arranging data into logical, organized groups
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ERP, ISACA, KPI, REA, SAR, sustainability reporting, VARs * GUI, MICR, operating system, OCR, pixels, POS, primary memory, RAID, secondary memory, SAAS, turnaround documents * Agent, attributes, event, cardinality, concurrency, field, data modeling, DBA, DBMS, entity, E-R diagram, foreign key, 1NF, 2NF, 3NF, record, relationship, table, transaction file, transitive dependency * DDL, DML, default value, field properties, input mask, query, referential integrity, schema, SQL, validation rule
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1. a) What is a database? A database is an organized collection of related data. b) How does an RDBMS store data? An RDBMS stores related data in tables. 2. What is one benefit of dividing data into tables? Dividing data into tables eliminates unnecessary data duplication, or data redundancy. 3. a) What is a database schema? A database schema is a description of the data and the organization of the data
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Addison-Wesley, 1989. Finkelstein, R. “Breaking the Rules Has a Price.” Database Programming & Design 1 (June 1988): 11–14. Fleming, C. C., and B. von Halle. “An Overview of Logical Data Modeling.” Data Resource Management 1 (1) (1990): 5–15. Fowler, M. UML Distilled: A Brief Guide to the Object Modeling Language. 2d ed. Reading, MA: Addison-Wesley, 2000. Gibson, M., C. Hughes, and W. Remington. “Tracking the Trade-Offs with Inverted Lists.” Database Programming & Design 2 (January 1989):
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