CHAPTER 14: OLAP AND DATABASE ADMINISTRATION
14.1 LEARNING OBJECTIVE AND OUTCOMES The basics objective to create a well-designed database using basic database commands. lt also provide how to manipulate the stored data and return meaningful results to help analyze the data stored. Upon completion of this chapter, they will be able to:
• Create, read, update, and delete data using basic SQL commands.
• Perform relational joins and transactions on SQL tables.
• Aggregate data through functions and conditionals.
• Perform sub queries and manipulate views.
• Create stored procedures within SQL.
• Summarize data using PIVOT and UNPIVOT.
• Demonstrate knowledge of data indices and information schemas.
• Create a full-fledged blog database.
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It is consider as a specialists that an OLAP system which contains an information on server that allows quick access to data (atomic data and derived data) and facilities calculations. Because OLAP tools work with multidimensional data models, perform complex analytical queries, ad hoc and has a high processing speed, some scholars have suggested that they rather be called FASMI (Fast Analysis of Shared Multidimensional Information) . Thus, Nigel and Richard Creeth Pendle, from the idea that "18 or even 12 rules are too much "wanted to define the characteristics of OLAP applications in a simple way and thus propose FASMI test, five key words:
1) Key word "speed" - users have earlier access to data at any time (basically the smooth running of a company is assured of making correct decisions to be taken quickly based on data that is stored in a warehouse data, the speed of access becomes a necessity). If simple analysis response time is one second, and for more complex analysis, response time may be longer than 20 seconds;
2) key word "analysis" - OLAP system should provide the user to perform various tests with the help of mathematical methods or statistical. Virtually, should provide the opportunity definition of ad-hoc calculations making reports in any form without the use of professional programming languages.
3) key word "shared" - allowing data to be accessed by many concurrent users
First is to determine the purpose of the database. It is a smart idea to write down what the
An active data warehousing, or ADW, is a data warehouse implementation that supports near-time or near-real-time decision making. It is featured by event-driven actions that are triggered by a continuous stream of queries that are generated by people or applications regarding an organization or company against a broad, deep granular set of enterprise data. Continental uses active data warehousing to keep track of their company’s daily progress and performance. Continental’s management team holds an operations meeting every morning to discuss how their
At this stage, the specifics of the scope and the general content of the project has been identified and is the first step in database development. It illustrates the overall picture of organizational data at a high level of abstraction. In addition,
For this assignment, you will NOT create a database. You will list the type of data you want to collect, group it accordingly, break it into field and determine attributes. Think about how the different pieces of data relate to one another and what purpose they serve. You may use Excel, Word, or Visio for this assignment.
Technology: Technology can single handedly improve a data reporting system if applied properly . It can solve problems like a lack of standardization, electrical power and backup of the system. Using standalone databases without deploying standard enterprise databases that aligned data as the occur checking for accuracy and quality issues in real-time
In this lab, you will prepare a Data Dictionary based on the list of elements. Also, your task will be determined the tables, their relationships, primary and foreign keys. Based on this analysis, you will create Database Schema, relational tables, Entity –Relational Diagram (ERD), establish connection to your local MySQL Server, create physical database and insert data to the tables.
There are several important steps to consider when designing a database, as a well-designed database should be deployed and not only support the accuracy and integrity of business information but also avoid redundant data and assist with has enterprise level reporting tasked. If we analyze the
Course Description This course covers database concepts. Topics include data analysis, the principal data models with emphasis on the relational model, entity-relationship diagrams, database design, normalization, and database administration. Policies Faculty and students will be held responsible for understanding and adhering to all policies contained within the following two documents: • • University policies: You must be logged into the student website to view this document. Instructor policies: This
24) Before it can be loaded into the data warehouse, operational data must be extracted and
Coronel, C. (2013). Database Systems: Design, Implementation, and Management, Tenth Edition. Mason, Ohio, United States: Cengage Learning.
In order to obtain peer reviewed research articles related to the impact of the psychological contract on job satisfaction in community mental health care workers it is important to review research that has been completed in a variety of researchers and in different settings. The databases that were selected to locate peer reviewed articles for this paper where Academic Search Complete and ProQuest Psychology. Tutorials were available for each of these databases and ProQuest was used to learn how to navigate through the data base since it was not a familiar data base to this author.
Three types of maintenance plans include: preventative, corrective, and adaptive maintenance which improve the data quality. Activities to improve data quality include database backups, integrity checks, optimizing the index. Preventative maintenance incorporates creating and continuously maintaining daily and/or weekly backups for data loss prevention, corrective maintenance ensures system errors are corrected. One activity associated to corrective maintenance includes resolving deadlocks, which occurs when two or more tasks permanently block each other. Adaptive maintenance includes enhancing system and database performance via based on utility assessments and optimized queries to improve performance. (Coronel, Morris, & Rob., 2013).
Personal privacy today is a controversial and complex topic, which is influenced by a number of factors. There is an integral role that databases play in this highly debated topic. The fact that many people now carry out their transactions electronically is another important factor. There is also pressure on personal privacy for increased national security around the world to combat terrorism. In addition, personal privacy is even threatened by commercial factors and the Internet.
While the term real-time analytics suggests practically prompt access and use of analytical data, some specialists offer a more concrete time frame for what institutes real-time analytics, such as implying that real-time analytics includes data used in a time frame of one minute of it being entered into the system. A usual example of real-time analytics is a system where managers or others can remotely analyze order information that’s revised as soon as an order is made or handled. By staying associated to an IT architecture, these users will be adept to see the orders embodied as they happen, hence tracing orders in real time.
For examples, from a retail company perspective, they can allocate resources based on the customers’ purchase history, buying behaviour, and even local weather and events directly from the data warehouse, adjust product price based on current buying patterns, inventory levels,