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A Design to store data methodically. A Cohesive Storage Platform. Data captured from disparate sources. A Central Repository of data. The intent is to allow easy access of data for Reporting, Data analysis, Predictions<br>
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The Evolution of Enterprise Data Warehouse SPEC INDIA
Data Storage - A Long Sojourn • How Data Storage changed over the years • Gigabytes • Floppy Disks • CDs • DVDs • Hard Disk Drives • Terabytes • Petabytes • Zettabytes • Exabytes
Data WarehouseThe Powerful Combination • Big Data • Data Storage for different types of data • Business Intelligence • Intelligent & Meaningful Data Interpretation
What is Enterprise Data Warehouse? • A Design to store data methodically • A Cohesive Storage Platform • Data captured from disparate sources • A Central Repository of data • The intent is to allow easy access of data for • Reporting • Data analysis • Predictions
The Magicians in the Enterprise Data warehouse • The Enterprise Data Warehouse or EDW itself evolved as requirements, prudence and hardware capacities along with the devices increased over the years • Data mart • Online Analytical Processing • Online Transaction Processing • Predictive Analysis
Big Data • The data that we have been collecting over the years is very big & is rightly called BIG data • BIG Data • A large volume of unstructured data which cannot be handled by other Database Management systems • Uses statistical inference to determine facts from a large volume o f data • Regressions • Nonlinear Relationships • Data Dependencies
Business Intelligence • BI uses descriptive statistics or statistical analysis with the data collected to interpret the hidden meanings • Transforms raw data into meaningful and useful information for business analysis • Interpretations to identify new opportunities and develop new strategies for businesses • Combines the power of Predictive Analysis Tools to put the theories of probability and predictions to use
In a Nutshell….. Enterprise Data Warehouses augment themselves with concepts like BI and BIG Data to get a more complete picture of the past, present and the future of the data
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