My 25 million International Journal = equal to 8 blockbuster & 40 Hit Films Revenue.

Avg Cost of Top 10 commercially successful films :

in 2018 gross between 550 crore to 150 crore.   Top 10 Average 300 crore Gross.

While average successful gross remained 50-100 crore.
source : https://en.wikipedia.org/wiki/List_of_Bollywood_films_of_2018

While 60 magazine/Jornals I write 2.5 crore in circulation each has Rs 1000 cost.

So Total Value of journal gross  = 2,500 crore.

if we assume 1 Top 10 movie Gross = 300 core  then This is equivalent to 2500/300 = [ 8 Top 10 Blockbusters of Bollywood.]
source : https://en.wikipedia.org/wiki/List_of_Bollywood_films_of_2018

Average Hit film in India in 2018 earns btween 50-75 crore Taking average around 60 crore

2500 journal Revenue/ 60 crore Hit Film revenue = 40 Hit films in last 20 yrs…

In Average film there are about 70-100 Heros and heroin and 1000+ staff whoes name comes at end of film.
While compare in magazine/journal only 100 names are printed. as author or Reviewer. [Journals gives more visibility]

 

My Program Management path: 2.5 yrs in PM Academics + 96(8 yrs) months PM Experience

 

My domain coverage of Project/Program Management

https://www.linkedin.com/pulse/my-domain-coverage-projectprogram-management-sandeep-sharma?trk=pulse_spock-articles

 

ProgManagTraining

Product Management:http://productmanagementview.wordpress.com
Project Manager            :http://projectmanagerview.wordpress.com

Architecting analysis of Structured and unstructured data

For Analysis of Structured data maintained in Data warehouse. Datawarehouse structured data has following characteristics:

Subject oriented , Integrated, NonVolatile(data does not change),Time variant(historical data varies on time).
read more definitions from guide: https://docs.oracle.com/cd/B10500_01/server.920/a96520/concept.htm

But unstructured data follows characteristics of 5V volume,variety,variability,value,velocity of data. So There is no structure to data in form of fixed columns and rows. So data warehouse needs to incorporate and drive intelligence taking this 5V challenge. read more
https://sandyclassic.wordpress.com/2013/07/02/data-warehousing-business-intelligence-and-cloud-computing/

For Unstructured data we have technology like Hadoop with HIVE acting as datawarehouse.

Apache Hadoop ecosystem covers most unstructured data analysis tools and technology namely

Apache Hadoop hive: datawarehouse of unstructured data using hadoop.
Apache Hadoop Hbase: SQL like query support to access hadoop covered data.
Apache Hadoop HDFS: distributed database Hadoop filesystem.
Apache Hadoop Mahout: Analytics engine on top of Hadoop ecosystem.

Trend of favouring Real time data quick Feedback rather than Batch processing. Hadoop is good for batch processing large parallel loads

Cloud Computing relation to Business Intelligence and Datawarehousing
Read :
1. 
https://sandyclassic.wordpress.com/2013/07/02/data-warehousing-business-intelligence-and-cloud-computing/
2.
 https://sandyclassic.wordpress.com/2013/06/18/bigdatacloud-business-intelligence-and-analytics/

Cloud Computing and Unstructured Data Analysis Using
Apache Hadoop Hive
Read: 
https://sandyclassic.wordpress.com/2013/10/02/architecture-difference-between-sap-business-objects-and-ibm-cognos/
Also it compares Architecture of 2 Popular BI Tools.

Cloud Data warehouse Architecture:
https://sandyclassic.wordpress.com/2011/10/19/hadoop-its-relation-to-new-architecture-enterprise-datawarehouse/

Future of BI
No one can predict future but these are directions where it moving in BI.
https://sandyclassic.wordpress.com/2012/10/23/future-cloud-will-convergence-bisoaapp-dev-and-security/