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About
MVP, SQL Server
BI Developer, Yemeksepeti
Instructor, Bahcesehir University
@koraykocabas
https://tr.linkedin.com/in/koraykocabas
http://www.misjournal.com
koraykocabas@outlook.com
Data = Oil For Companies
Data Problems
Data Evolution
Ages of Analysis
Prescriptive
Predictive
Diagnostic
Desciptive
•What should I do?
•What will happen?
•Why did it happen?
•What happened?
Legacy Business Intelligence
Modern Business Intelligence
Data
Mining
Analysis
Reporting
Data Quality
Datawarehouse SQL Server Integration Services
SQL Server Data Quality Services
SQL Server Reporting Services
SQL Server Analysis Services
SQL Server Integration Services
Data Mining Tools
Advantages
Accessible through a web browser, no software to install
Collaborative work with anyone, anywhere via Azure workspace
UI for Data Science workflow
Best in class ML algorithms; Immutable library of models, search discover and reuse
Extensible support for R & Python
Fastest deploy to production
Languages For Business Intelligence
This is a standard interactive and programming
language for getting information from and
updating a database.
This language is used for retrieving data from
SSAS cubes. It looks very similar to T-SQL, but it
is very different in the areas of
conceptualization and implementations.
This is again used for SSAS but rather than
cubes it is used for data mining structures. This
language is more complicated than MDX.
Microsoft has provided lots of wizards in its BI
tools, which further reduced experts for
learning this language which deals with data
mining structures.
This is mainly used for SSAS administrative
tasks. It is quite commonly used in
administration tasks such as backup or restore
database, copy and move database or learning
meta data information. Again, MS BI tools
provide lots of wizards for the same.
SQL (Structured Query Language)
MDX (Multidimensional Expressions)
DMX Data Mining Extensions
XMLA (XML for Analysis)
DMX Data Mining Extensions
Goal – Scenario – Task - Technique
Scenario Tasks
Cross-sell and Up-sell Association
Campaign Management
Classification, Clustering
Customer Acquisition Clustering
Budget and Forecasting Prediction
Customer Retention Classification, Estimation
Tasks Techniques
Association
Association Rules,
Decision Trees
Classification
Decision Trees, Neural
Net,
Naïve Bayes
Clustering Clustering
Estimation Logistic, Linear Regression
Prediction Time Series
Demo
What’s R
R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language
and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers
and colleagues. It has 5000+ statistical packages.
Data Scientist love R
R is the most powerful statistical programming language
Visualization using R plotting libraries
Upload your own R packages
Core R: the purest version: http://cran.r-project.org (Use Better GUI like Rstudio http://www.rstudio.com )
Revolution Analytics: http://www.revolutionanalytics.com (Acquired by Microsoft)
Microsoft plans to integrate Revolution's R programming language implementation and platform for statistical
computing and analytics into SQL Server, Azure HDInsight and Azure Machine Learning.
Azure Machine Learning (https://studio.azureml.net/ )
SQL Server 2016 (which will be in public preview this summer) will include new real-time analytics,
automatic data encryption, and the ability to run R within the database
Ssas dmx ile kurum içi verilerin i̇şlenmesi

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Ssas dmx ile kurum içi verilerin i̇şlenmesi

  • 1.
  • 2. About MVP, SQL Server BI Developer, Yemeksepeti Instructor, Bahcesehir University @koraykocabas https://tr.linkedin.com/in/koraykocabas http://www.misjournal.com koraykocabas@outlook.com
  • 3. Data = Oil For Companies
  • 5.
  • 7. Ages of Analysis Prescriptive Predictive Diagnostic Desciptive •What should I do? •What will happen? •Why did it happen? •What happened?
  • 10. Data Mining Analysis Reporting Data Quality Datawarehouse SQL Server Integration Services SQL Server Data Quality Services SQL Server Reporting Services SQL Server Analysis Services SQL Server Integration Services
  • 12. Advantages Accessible through a web browser, no software to install Collaborative work with anyone, anywhere via Azure workspace UI for Data Science workflow Best in class ML algorithms; Immutable library of models, search discover and reuse Extensible support for R & Python Fastest deploy to production
  • 13. Languages For Business Intelligence This is a standard interactive and programming language for getting information from and updating a database. This language is used for retrieving data from SSAS cubes. It looks very similar to T-SQL, but it is very different in the areas of conceptualization and implementations. This is again used for SSAS but rather than cubes it is used for data mining structures. This language is more complicated than MDX. Microsoft has provided lots of wizards in its BI tools, which further reduced experts for learning this language which deals with data mining structures. This is mainly used for SSAS administrative tasks. It is quite commonly used in administration tasks such as backup or restore database, copy and move database or learning meta data information. Again, MS BI tools provide lots of wizards for the same. SQL (Structured Query Language) MDX (Multidimensional Expressions) DMX Data Mining Extensions XMLA (XML for Analysis)
  • 14. DMX Data Mining Extensions
  • 15. Goal – Scenario – Task - Technique Scenario Tasks Cross-sell and Up-sell Association Campaign Management Classification, Clustering Customer Acquisition Clustering Budget and Forecasting Prediction Customer Retention Classification, Estimation Tasks Techniques Association Association Rules, Decision Trees Classification Decision Trees, Neural Net, Naïve Bayes Clustering Clustering Estimation Logistic, Linear Regression Prediction Time Series
  • 16. Demo
  • 17. What’s R R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. It has 5000+ statistical packages. Data Scientist love R R is the most powerful statistical programming language Visualization using R plotting libraries Upload your own R packages Core R: the purest version: http://cran.r-project.org (Use Better GUI like Rstudio http://www.rstudio.com ) Revolution Analytics: http://www.revolutionanalytics.com (Acquired by Microsoft) Microsoft plans to integrate Revolution's R programming language implementation and platform for statistical computing and analytics into SQL Server, Azure HDInsight and Azure Machine Learning. Azure Machine Learning (https://studio.azureml.net/ ) SQL Server 2016 (which will be in public preview this summer) will include new real-time analytics, automatic data encryption, and the ability to run R within the database