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Content
SQL Server part 1
SQL Server part 2
SQL Server part 3
SQL Server part 4
SQL Server part 5
SQL Server part 6
SQL Server part 7
SQL Server part 8
SQL Server part 9
SQL Server cursor
SQL Server replication
Structured query language
SQL Server architecture
SQL Server constraints
SQL Server cursors
Data Mining
Data warehousing
SQL Server DTS
SQL Server functions
SQL Server indexes
SQL Server joins
SQL Server locks
SQL Server Net integration
SQL Server optimization
SQL Server replication
SQL reporting services
SQL service broker
SQL Server stored procedures
SQL Server table
SQL Server transactions
SQL Server transactions Architecture
SQL Server triggers
SQL Server views
SQL Server XML integration
SQL Server DDL
SQL Server DML
SQL Server DCL
SQL Server identifier
SQL Server data integrity
SQL Server accessing data
SQL Server subqueries
SQL Server cube operator
SQL Server insert data
SQL Server distributed queries
SQL Server index tuning
 
Database concepts
Oracle
MySQL
Data warehousing
Service-oriented architecture
SQL Server notification services
SQL Server Reporting Services
Sharepoint
Biztalk interview questions
 
ASP.NET
ADO.NET
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NET Interview
C#.NET
VB.NET
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PHP
 
C
C++
Java
Data Structure
Oops
 
Operating System
Project Management
Linux
Testing
Networking
Software engineering
 
UML
XML
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SOAP
CSS
VBScript
 
CV tips
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Interview tips
Human resources
Soft skills
Group discussion

Data warehousing discrete and continuous data

Explain discrete and continuous data in data mining.

Answer
Discreet data can be considered as defined or finite data. E.g. Mobile numbers, gender.

Continuous data can be considered as data which changes continuously and in an ordered fashion. E.g. age
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