Data warehousing and data mining ppt

Why Learn Big Data Analytics - Big Data Analytics is being seen as a great career option, and there are many who wish to know all about it. Not possible to answer if total duration of calls by Anand over a month is only maintained and individual call details are not. Function Missing data Decision support requires historical data, which op dbs do not typically maintain. If I offer only 2, airline miles as an incentive to purchase rather than 5,, how many lost responses will result?

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A single, complete and consistent store of data obtained from a variety of different sources made available to end users in a what they can understand and use in a business context. Or use it to upload your own PowerPoint slides so you can share them with your teachers, class, students, bosses, employees, customers, potential investors or the world.

Which types of transactions are likely to be fraudulent given the demographics and transactional history of a particular customer? Further development of data cube technology.

Data Warehouse and Data Mining Subject: Special data organization, access implementation methods needed for multidimensional views queries. Thus making decisions that were not previous possible A decision support database maintained separately from warehousijg organizations operational database 13 Data Warehouse A data warehouse is a subject-oriented integrated time-varying non-volatile collection of data that is used primarily in organizational decision making.

Without the detailed, organizationally structured data as a foundation, there is no reconcilability of data marketing sales finance manufacturing Multidimensional Spreadsheets Analysts need spreadsheets that support pivot tables cross-tabs drill-down and roll-up slice and dice sort selections derived attributes Popular in retail domain OLAP - Data Cube Idea analysts need to group data in many different ways eg.

Basic Concepts and Techniques Which of my customers are likely to be the most loyal? That's all free as well! Repeat the above process to find the sales of a product line to new vs. For a small fee you can get the industry's best online privacy or publicly promote your presentations and slide shows with top rankings. Zhujianqiu Last modified by: Data Mining Data Warehousing - 'A data warehouse is a subject-oriented, integrated, time-variant, and Warehousing Organized by transactions vs Advances in the following areas are making data mining deployable data warehousing better and more data i.

How to use pre-computed aggregates in queries? View by Category Toggle navigation. PowerPoint PPT presentation free to view.

Whether your application is business, how-to, education, medicine, school, church, sales, marketing, online training or just for fun, PowerShow. Data should be integrated across the enterprise Summary data has a real value to the organization Historical data holds the key to understanding data over time Mlning capabilities are required 8 What is Data Warehousing?

Find out what Big Data Analytics means, what it takes to acquire knowledge of it, how that knowledge can be applied, and more.

Function Missing data Decision support requires historical data, which op dbs do not typically maintain. Data is historical or point-in-time If I raise the price of my product by Rs.

Performance Op dbs designed tuned for known txs workloads. They are increasingly used by customers 27 Examples of Operational Data 28 So, whats warehuosing Conceptual Modeling of Data Warehouses. Or use it to find and download high-quality how-to PowerPoint ppt presentations with illustrated or animated slides that will teach you how to do something new, also for free.


I cant find the data I need data is scattered over the network many versions, subtle differences I cant get the data I need need an expert to get the data I cant understand the data I found available data poorly documented I cant use the data I found results are unexpected data needs to be transformed from one form to other 6 What is a Data Warehouse? Given a database ofnames, which persons are the least likely to default on their credit cards?

Do you have PowerPoint slides to share? Detailed data too voluminous 72 Granularity in Warehouse Tradeoff is to have dual level of granularity Store summary data on disks 95 of DSS processing done against this data Store detail on tapes 5 of DSS processing against this data 73 Vertical Partitioning Acct.

From data warehousing to data mining If I offer only 2, airline miles as an incentive to purchase rather than 5, how many lost responses will result? Help Preferences Sign up Log in.

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