Pavan Akula
RDBMS Prespective
Data Analysis leads to Information.
Data Analysis is set of tools and techniques.
Discovering insightful, interesting, and novel patterns.
Descriptive, understandable, and predictive models.
Pattern mining, clustering, classification, and forecasting.
Data Modeling - art and science of collecting and managing data.
Data modeling is a set of tools and techniques to understand and analyze how to collect, update and store data. Traditionally Data Models used in practice falls into three categories.
Data Modeling starts with the collection of data.
Represents how data should be structured and stored.
Accurate use of data types numeric, categorical, dimensions.
Naming convention and reserved words.
Factors driving data primary keys, foreign keys, and constraints.
Pew Research Center and Smithsonian magazine conducted a national survey U.S. Views of Technology and the Future which asked Americans about a wide range of potential scientific developments from near-term advances like robotics and bioengineering, to more “futuristic” possibilities like teleportation or space colonization. More information can be found at http://www.pewinternet.org/2014/04/17/us-views-of-technology-and-the-future/. PDF file Feb_2014_Views_Future_Crosstab.pdf, will be used to demonstrate relation between Data Analysis and Data Modeling.
This is crosstab report.
Business Analyst needs partial data.
Data needs to be stored in the RDBMS database.
Showcase Star Schema and Snowflake Schema.
Star
Snowflake Schema