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MSBI Advantages and Its Data Evaluation Stages - MSBI

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by Ravindra Savaram
Last modified: June 29th 2021

MSBI Competitive Advantages

1) It is a single suite for end-to-end business solution.

2) It has extended capability for extraction, transformation and loading.

3) low-cost TCO [Total cost of ownership]

  • Easy to Install
  • Easy to use
  • Easy to maintain
  • Cheaper price

4) Highly scalable – It supports multiple instances to connect o the server without sacrificing its performances.

Before 2008

  • Instances                         
  • Linearly                      

2008 onwards

  • Instances
  • Performance(server)

The BMI is said to be a “linear scalable application” due to having CMS (central management server) and PBM (Policy Based Management) servers. (“2008R2”).

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Full compatibility between the components of MSBI

– All components runs in the single runtime called ‘CLR’ [common language runtime].

i.e., it is having similar coding, Notation (naming).

– Full support to .Net, XML. and web services (universal language)

– MSBI provides very good support to the semiware house application (if we are reusing OLTP functionality in the warehouse.

Related Article: Msbi Interview Questions

Data Evaluation Stages

System Type Time Taken No.of rows it operates
OLTP(Online Transaction Processing)Ex: Immediate operations booking tickets, movie tickets etc… Seconds Less
DSS(Decision Support System)Ex: The no. of saving account opened in year 2009 and 2010 Minutes/ hours More
OLCP(Online Complex Processing)Ex: Loan Application Minutes/hrs/days More
OLAP (Online Analytical Processing) Minutes/hrs/days More

OLTP and DSS are Traditional systems

OLCP and OLAP are Modern systems

 Ex: The no of saving accounts opened for the years 2009 & 2010 every month-wise and every location of INDIA & SINGAPORE.

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About Author

author
NameRavindra Savaram
Author Bio

 

Ravindra Savaram is a Content Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.