See the basic, most appreciated functions of the most popular industry level tools for data mining and extract-transform-load functions in business intelligence. Like, share or leave me a comment if it was any help to you.

1. FUNCTIONAL STUDY OF
DATA MINING TOOLS &
ETL TOOLS

2. DATA MINING

3. DATA MINING
TOOLS

4. WEKA3
•making the
implementation of
machine learning
algorithms easier
•explore the basics

5. RapidMiner
• formerly known as YALE
• Power and flexibility
• Scalability
• Visualization
• Preprocessing

6. R (Programming Language)
• open source programming language
and software environment
• implementation of the S
programming language
• LaTeX-like documentation format
• widely used among statisticians

7. SAS (Statistical Analysis System)
• undisputed market leader in
commercial analytics
• provides awesome technical
support
• most expensive option

8. ProM (Process Mining)
• Automated Business Process
Discovery (ABPD)
• based on event logs
• used when no formal
description of the process
can be obtained

9. KNIME
• offers more extensive data
processing capabilities
• intuitive visual workflow
builder
• comparable to RapidMiner

10. ETL

11. ETL TOOLS

12. Informatica PowerCenter
• foundation for all major data
integration projects
• # 1 in customer loyalty rankings,
10 years in a row
• Database neutral
• Most powerful data
transformations tool

13. Microsoft SSIS (SQL Server Integration Services)
• write it programmatically or
they provided GUI without
writing code
• automate maintenance of SQL
Server databases
• handle data from
heterogeneous data sources in
the same package

14. Oracle Data Integrator
• Extract, load and transform (ELT)
• purchased Sunopsis and re-branded
• Oracle Warehouse Builder (OWB)

15. IBM InfoSphere DataStage
• three levels of Parallelism
• acquired by IBM
• uses a graphical notation to
construct data integration
solutions

16. Ab Initio
• containing six tightly
coupled data processing
products
• supports multiple
parallelism techniques
• code based software

17. ETL &
DATA
MINING

18. Why Data Mining?

19. Why ETL?

20. Data
Warehouse

21. B+
Trees

22. QUESTIONS
ACCEPTED,ANSWERS
PROVIDED