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Transcript
Intelligence:
Ability to investigate, observed information in order to understanding for making
decisions.
Types of Database:
•
Operational – store detailed data needed to support the business
processes and operations of a company this type of data use in daily (day to day)
operations of a business.
•
Distributed – databases that are physically distributed in whole or in part
to network servers at a variety of sites example is GOOGLE there are two types of
Distributed databases:
• Partitioned: Separate locations store different parts of database
• Replicated: Central database duplicated in entirety at different
locations
•
External – contain a wealth of information available from commercial
online services and from many sources on the World Wide Web
•
Hypermedia – Data base which is unstructured and consist of hyperlinked
pages of multimedia like YouTube
For very large databases and systems, special capabilities and tools are
required for analyzing large quantities of data and for accessing data from
multiple systems
Data Ware House:
In data ware house, we can Stores current and historical data from many core
operational transaction systems. Data warehouse system will provide query,
analysis, and reporting tools. There are two components of data ware house:
• Internal Source: we can view operational, customer, manufacturing
data from internal sources.
• External Source: we can view external data like other companies
financial reports from external sources.
Business Intelligence:
Identification of trends and phenomena from your data Example based on your
sales figures of last five years you will decide how much quantity you will sell in
next year.
How we can identify:
We can identify through 3 ways:
• Software for database query and reporting
Through database software’s that quarry the data and tell you about results.
• Online analytical processing (OLAP)
Through OLAP, we can ask specific questions about our products and
services.
• Data mining
Through data mining we can look at diff patterns and trended in our data.