SlideShare uma empresa Scribd logo
1 de 16
SQL Server Integration ServicesAnd Data Mining
Overview Standard Tasks in SSIS SSIS Packages Data Flow Working with SSIS in Data Mining Data Mining Transformations Text Mining Transformations Summary
Overview of SSIS SQL Server Integration Services (SSIS) is a component of the Microsoft SQL Server database software which can be used to perform a broad range of data migration tasks. SSIS is a platform for data integration and workflow applications. It features a fast and flexible data warehousing tool used for data extraction, transformation, and loading (ETL). The tool may also be used to automate maintenance of SQL Server databases and updates to multidimensional cube data.
SQL Server Integration Services
SSIS Designer
SSIS Packages A package is the basic deployment and execution unit of an SSIS project. An SSIS package is the container for SSIS flows.  You can create an SSIS package by right-clicking the SSIS Package folder in the Integration Services project folder and selecting the New SSIS Package menu item. An SSIS project may contain multiple packages. A package contains only one control flow, which may contain one or more data flows. In addition to control flow and data flow, a package contains SSIS connections and package variables.
Task Flow and Containers Tasks are listed in the SSIS Toolbox.  You can add a task to the package by dragging it from the Toolbox and dropping it into the package designer. A package usually contains multiple tasks in a task flow.  Multiple tasks are organized in sequential order with precedence constraints. Containers are SSIS objects that provide structure to a package.  Each package has a container, which stores the flows of a package.
 Data Flow Example
How to Set the Properties of a Task or Container? To set the properties of a task or container by using theProperties window : ,[object Object]
In Solution Explorer, double-click the package to open it.
Click the Control Flow tab.
On the design surface of the Control Flow tab, right-click the task or container, and then click Properties.
In the Properties window, update the property value.
Optionally, create property expressions to dynamically update the properties of the task or container.
To save the updated package, click Save Selected Items on the File menu.,[object Object]
In Solution Explorer, double-click the package to open it.

Mais conteúdo relacionado

Mais procurados

Sap business objects 4 quick start manual
Sap business objects 4 quick start manualSap business objects 4 quick start manual
Sap business objects 4 quick start manualDmitry Anoshin
 
MS SQL SERVER: SSIS and data mining
MS SQL SERVER: SSIS and data miningMS SQL SERVER: SSIS and data mining
MS SQL SERVER: SSIS and data miningDataminingTools Inc
 
Business Intelligence Technology Presentation
Business Intelligence Technology PresentationBusiness Intelligence Technology Presentation
Business Intelligence Technology PresentationJohn Paredes
 
Upload images in to sap hana
Upload images in to sap hanaUpload images in to sap hana
Upload images in to sap hanaGeetha Madhuri
 
CaseStudy-MohammedImranAlam-Xcelsius
CaseStudy-MohammedImranAlam-XcelsiusCaseStudy-MohammedImranAlam-Xcelsius
CaseStudy-MohammedImranAlam-XcelsiusMohammed Imran Alam
 
Report programming model for microsoft dynamics ax 2012
Report programming model for microsoft dynamics ax 2012Report programming model for microsoft dynamics ax 2012
Report programming model for microsoft dynamics ax 2012KiranVathaluru
 
Crystal reports seminar
Crystal reports seminarCrystal reports seminar
Crystal reports seminarteope_ruvina
 
asp.net data controls
asp.net data controlsasp.net data controls
asp.net data controlssubakrish
 
Sas visual analytics Training
Sas visual analytics Training Sas visual analytics Training
Sas visual analytics Training bidwhm
 
Ms access ppt 2017 by Gopal saha
Ms access ppt 2017 by Gopal sahaMs access ppt 2017 by Gopal saha
Ms access ppt 2017 by Gopal saha253253
 
Online SAP BO 4.2 Training
Online SAP BO 4.2 TrainingOnline SAP BO 4.2 Training
Online SAP BO 4.2 Trainingashok training
 
Sap bo 4.2 course content (1)
Sap bo 4.2 course content (1)Sap bo 4.2 course content (1)
Sap bo 4.2 course content (1)vamshireddy kunta
 

Mais procurados (20)

Ms access
Ms accessMs access
Ms access
 
Sap business objects 4 quick start manual
Sap business objects 4 quick start manualSap business objects 4 quick start manual
Sap business objects 4 quick start manual
 
MS SQL SERVER: SSIS and data mining
MS SQL SERVER: SSIS and data miningMS SQL SERVER: SSIS and data mining
MS SQL SERVER: SSIS and data mining
 
Business Intelligence Technology Presentation
Business Intelligence Technology PresentationBusiness Intelligence Technology Presentation
Business Intelligence Technology Presentation
 
Upload images in to sap hana
Upload images in to sap hanaUpload images in to sap hana
Upload images in to sap hana
 
Ssis 2008
Ssis 2008Ssis 2008
Ssis 2008
 
Grid Vew Control VB
Grid Vew Control VBGrid Vew Control VB
Grid Vew Control VB
 
CaseStudy-MohammedImranAlam-Xcelsius
CaseStudy-MohammedImranAlam-XcelsiusCaseStudy-MohammedImranAlam-Xcelsius
CaseStudy-MohammedImranAlam-Xcelsius
 
Report programming model for microsoft dynamics ax 2012
Report programming model for microsoft dynamics ax 2012Report programming model for microsoft dynamics ax 2012
Report programming model for microsoft dynamics ax 2012
 
Crystal reports seminar
Crystal reports seminarCrystal reports seminar
Crystal reports seminar
 
Ms access
Ms accessMs access
Ms access
 
GRID VIEW PPT
GRID VIEW PPTGRID VIEW PPT
GRID VIEW PPT
 
asp.net data controls
asp.net data controlsasp.net data controls
asp.net data controls
 
Sas visual analytics Training
Sas visual analytics Training Sas visual analytics Training
Sas visual analytics Training
 
Database Connection
Database ConnectionDatabase Connection
Database Connection
 
Visual basic databases
Visual basic databasesVisual basic databases
Visual basic databases
 
Ms access ppt 2017 by Gopal saha
Ms access ppt 2017 by Gopal sahaMs access ppt 2017 by Gopal saha
Ms access ppt 2017 by Gopal saha
 
Ms access 2010
Ms access 2010Ms access 2010
Ms access 2010
 
Online SAP BO 4.2 Training
Online SAP BO 4.2 TrainingOnline SAP BO 4.2 Training
Online SAP BO 4.2 Training
 
Sap bo 4.2 course content (1)
Sap bo 4.2 course content (1)Sap bo 4.2 course content (1)
Sap bo 4.2 course content (1)
 

Semelhante a MS SQL SERVER: SSIS and data mining

Ssis2008 120710214348-phpapp02
Ssis2008 120710214348-phpapp02Ssis2008 120710214348-phpapp02
Ssis2008 120710214348-phpapp02sumitkumar3201
 
Introduction of ssis
Introduction of ssisIntroduction of ssis
Introduction of ssisdeepakk073
 
Microsoft-business-intelligence-training-in-mumbai
Microsoft-business-intelligence-training-in-mumbaiMicrosoft-business-intelligence-training-in-mumbai
Microsoft-business-intelligence-training-in-mumbaiUnmesh Baile
 
Presentation kaushal
Presentation kaushalPresentation kaushal
Presentation kaushalAjay Yadav
 
Architecture Specification - Visual Modeling Tool
Architecture Specification - Visual Modeling ToolArchitecture Specification - Visual Modeling Tool
Architecture Specification - Visual Modeling ToolAdriaan Venter
 
MS SQL SERVER: Using the data mining tools
MS SQL SERVER: Using the data mining toolsMS SQL SERVER: Using the data mining tools
MS SQL SERVER: Using the data mining toolssqlserver content
 
B Woodward Portfolio
B Woodward PortfolioB Woodward Portfolio
B Woodward Portfoliobwoodward
 
1\9.SSIS 2008R2_Training - Introduction to SSIS
1\9.SSIS 2008R2_Training - Introduction to SSIS1\9.SSIS 2008R2_Training - Introduction to SSIS
1\9.SSIS 2008R2_Training - Introduction to SSISPramod Singla
 
Test Strategy Utilising Mc Useful Tools
Test Strategy Utilising Mc Useful ToolsTest Strategy Utilising Mc Useful Tools
Test Strategy Utilising Mc Useful Toolsmcthedog
 
Trunk and branches for database configuration management
Trunk and branches for database configuration managementTrunk and branches for database configuration management
Trunk and branches for database configuration managementscmsupport
 
MMYERS Portfolio
MMYERS PortfolioMMYERS Portfolio
MMYERS PortfolioMike Myers
 
Architecture of integration services
Architecture of integration servicesArchitecture of integration services
Architecture of integration servicesSlava Kokaev
 
5 tsssisu sql_server_2012
5 tsssisu sql_server_20125 tsssisu sql_server_2012
5 tsssisu sql_server_2012Steve Xu
 
Adopting AnswerModules ModuleSuite
Adopting AnswerModules ModuleSuiteAdopting AnswerModules ModuleSuite
Adopting AnswerModules ModuleSuiteAnswerModules
 
Agile Methodology Approach to SSRS Reporting
Agile Methodology Approach to SSRS ReportingAgile Methodology Approach to SSRS Reporting
Agile Methodology Approach to SSRS ReportingDanielson Samuel
 
SSIS : Ftp and script task
SSIS : Ftp and script taskSSIS : Ftp and script task
SSIS : Ftp and script taskKiki Noviandi
 

Semelhante a MS SQL SERVER: SSIS and data mining (20)

Ssis2008 120710214348-phpapp02
Ssis2008 120710214348-phpapp02Ssis2008 120710214348-phpapp02
Ssis2008 120710214348-phpapp02
 
Introduction of ssis
Introduction of ssisIntroduction of ssis
Introduction of ssis
 
Microsoft-business-intelligence-training-in-mumbai
Microsoft-business-intelligence-training-in-mumbaiMicrosoft-business-intelligence-training-in-mumbai
Microsoft-business-intelligence-training-in-mumbai
 
Presentation kaushal
Presentation kaushalPresentation kaushal
Presentation kaushal
 
Architecture Specification - Visual Modeling Tool
Architecture Specification - Visual Modeling ToolArchitecture Specification - Visual Modeling Tool
Architecture Specification - Visual Modeling Tool
 
MS SQL SERVER: Using the data mining tools
MS SQL SERVER: Using the data mining toolsMS SQL SERVER: Using the data mining tools
MS SQL SERVER: Using the data mining tools
 
B Woodward Portfolio
B Woodward PortfolioB Woodward Portfolio
B Woodward Portfolio
 
1\9.SSIS 2008R2_Training - Introduction to SSIS
1\9.SSIS 2008R2_Training - Introduction to SSIS1\9.SSIS 2008R2_Training - Introduction to SSIS
1\9.SSIS 2008R2_Training - Introduction to SSIS
 
Olap
OlapOlap
Olap
 
Test Strategy Utilising Mc Useful Tools
Test Strategy Utilising Mc Useful ToolsTest Strategy Utilising Mc Useful Tools
Test Strategy Utilising Mc Useful Tools
 
Trunk and branches for database configuration management
Trunk and branches for database configuration managementTrunk and branches for database configuration management
Trunk and branches for database configuration management
 
MMYERS Portfolio
MMYERS PortfolioMMYERS Portfolio
MMYERS Portfolio
 
Architecture of integration services
Architecture of integration servicesArchitecture of integration services
Architecture of integration services
 
UI Testing Pattern
UI Testing PatternUI Testing Pattern
UI Testing Pattern
 
5 tsssisu sql_server_2012
5 tsssisu sql_server_20125 tsssisu sql_server_2012
5 tsssisu sql_server_2012
 
Sas training in hyderabad
Sas training in hyderabadSas training in hyderabad
Sas training in hyderabad
 
Adopting AnswerModules ModuleSuite
Adopting AnswerModules ModuleSuiteAdopting AnswerModules ModuleSuite
Adopting AnswerModules ModuleSuite
 
Dbi h315
Dbi h315Dbi h315
Dbi h315
 
Agile Methodology Approach to SSRS Reporting
Agile Methodology Approach to SSRS ReportingAgile Methodology Approach to SSRS Reporting
Agile Methodology Approach to SSRS Reporting
 
SSIS : Ftp and script task
SSIS : Ftp and script taskSSIS : Ftp and script task
SSIS : Ftp and script task
 

Mais de sqlserver content

MS SQL SERVER: Programming sql server data mining
MS SQL SERVER:  Programming sql server data miningMS SQL SERVER:  Programming sql server data mining
MS SQL SERVER: Programming sql server data miningsqlserver content
 
MS SQL SERVER: Olap cubes and data mining
MS SQL SERVER:  Olap cubes and data miningMS SQL SERVER:  Olap cubes and data mining
MS SQL SERVER: Olap cubes and data miningsqlserver content
 
MS SQL SERVER: Microsoft time series algorithm
MS SQL SERVER: Microsoft time series algorithmMS SQL SERVER: Microsoft time series algorithm
MS SQL SERVER: Microsoft time series algorithmsqlserver content
 
MS SQL SERVER: Microsoft sequence clustering and association rules
MS SQL SERVER: Microsoft sequence clustering and association rulesMS SQL SERVER: Microsoft sequence clustering and association rules
MS SQL SERVER: Microsoft sequence clustering and association rulessqlserver content
 
MS SQL SERVER: Neural network and logistic regression
MS SQL SERVER: Neural network and logistic regressionMS SQL SERVER: Neural network and logistic regression
MS SQL SERVER: Neural network and logistic regressionsqlserver content
 
MS SQL SERVER: Microsoft naive bayes algorithm
MS SQL SERVER: Microsoft naive bayes algorithmMS SQL SERVER: Microsoft naive bayes algorithm
MS SQL SERVER: Microsoft naive bayes algorithmsqlserver content
 
MS SQL SERVER: Decision trees algorithm
MS SQL SERVER: Decision trees algorithmMS SQL SERVER: Decision trees algorithm
MS SQL SERVER: Decision trees algorithmsqlserver content
 
MS SQL Server: Data mining concepts and dmx
MS SQL Server: Data mining concepts and dmxMS SQL Server: Data mining concepts and dmx
MS SQL Server: Data mining concepts and dmxsqlserver content
 
MS Sql Server: Reporting models
MS Sql Server: Reporting modelsMS Sql Server: Reporting models
MS Sql Server: Reporting modelssqlserver content
 
MS Sql Server: Reporting manipulating data
MS Sql Server: Reporting manipulating dataMS Sql Server: Reporting manipulating data
MS Sql Server: Reporting manipulating datasqlserver content
 
MS Sql Server: Reporting introduction
MS Sql Server: Reporting introductionMS Sql Server: Reporting introduction
MS Sql Server: Reporting introductionsqlserver content
 
MS Sql Server: Reporting basics
MS Sql  Server: Reporting basicsMS Sql  Server: Reporting basics
MS Sql Server: Reporting basicssqlserver content
 
MS Sql Server: Datamining Introduction
MS Sql Server: Datamining IntroductionMS Sql Server: Datamining Introduction
MS Sql Server: Datamining Introductionsqlserver content
 
MS Sql Server: Business Intelligence
MS Sql Server: Business IntelligenceMS Sql Server: Business Intelligence
MS Sql Server: Business Intelligencesqlserver content
 
MS SQLSERVER:Feeding Data Into Database
MS SQLSERVER:Feeding Data Into DatabaseMS SQLSERVER:Feeding Data Into Database
MS SQLSERVER:Feeding Data Into Databasesqlserver content
 
MS SQLSERVER:Doing Calculations With Functions
MS SQLSERVER:Doing Calculations With FunctionsMS SQLSERVER:Doing Calculations With Functions
MS SQLSERVER:Doing Calculations With Functionssqlserver content
 
MS SQLSERVER:Deleting A Database
MS SQLSERVER:Deleting A DatabaseMS SQLSERVER:Deleting A Database
MS SQLSERVER:Deleting A Databasesqlserver content
 
MS SQLSERVER:Customizing Your D Base Design
MS SQLSERVER:Customizing Your D Base DesignMS SQLSERVER:Customizing Your D Base Design
MS SQLSERVER:Customizing Your D Base Designsqlserver content
 
MS SQLSERVER:Creating A Database
MS SQLSERVER:Creating A DatabaseMS SQLSERVER:Creating A Database
MS SQLSERVER:Creating A Databasesqlserver content
 

Mais de sqlserver content (20)

MS SQL SERVER: Programming sql server data mining
MS SQL SERVER:  Programming sql server data miningMS SQL SERVER:  Programming sql server data mining
MS SQL SERVER: Programming sql server data mining
 
MS SQL SERVER: Olap cubes and data mining
MS SQL SERVER:  Olap cubes and data miningMS SQL SERVER:  Olap cubes and data mining
MS SQL SERVER: Olap cubes and data mining
 
MS SQL SERVER: Microsoft time series algorithm
MS SQL SERVER: Microsoft time series algorithmMS SQL SERVER: Microsoft time series algorithm
MS SQL SERVER: Microsoft time series algorithm
 
MS SQL SERVER: Microsoft sequence clustering and association rules
MS SQL SERVER: Microsoft sequence clustering and association rulesMS SQL SERVER: Microsoft sequence clustering and association rules
MS SQL SERVER: Microsoft sequence clustering and association rules
 
MS SQL SERVER: Neural network and logistic regression
MS SQL SERVER: Neural network and logistic regressionMS SQL SERVER: Neural network and logistic regression
MS SQL SERVER: Neural network and logistic regression
 
MS SQL SERVER: Microsoft naive bayes algorithm
MS SQL SERVER: Microsoft naive bayes algorithmMS SQL SERVER: Microsoft naive bayes algorithm
MS SQL SERVER: Microsoft naive bayes algorithm
 
MS SQL SERVER: Decision trees algorithm
MS SQL SERVER: Decision trees algorithmMS SQL SERVER: Decision trees algorithm
MS SQL SERVER: Decision trees algorithm
 
MS SQL Server: Data mining concepts and dmx
MS SQL Server: Data mining concepts and dmxMS SQL Server: Data mining concepts and dmx
MS SQL Server: Data mining concepts and dmx
 
MS Sql Server: Reporting models
MS Sql Server: Reporting modelsMS Sql Server: Reporting models
MS Sql Server: Reporting models
 
MS Sql Server: Reporting manipulating data
MS Sql Server: Reporting manipulating dataMS Sql Server: Reporting manipulating data
MS Sql Server: Reporting manipulating data
 
MS Sql Server: Reporting introduction
MS Sql Server: Reporting introductionMS Sql Server: Reporting introduction
MS Sql Server: Reporting introduction
 
MS Sql Server: Reporting basics
MS Sql  Server: Reporting basicsMS Sql  Server: Reporting basics
MS Sql Server: Reporting basics
 
MS Sql Server: Datamining Introduction
MS Sql Server: Datamining IntroductionMS Sql Server: Datamining Introduction
MS Sql Server: Datamining Introduction
 
MS Sql Server: Business Intelligence
MS Sql Server: Business IntelligenceMS Sql Server: Business Intelligence
MS Sql Server: Business Intelligence
 
MS SQLSERVER:Feeding Data Into Database
MS SQLSERVER:Feeding Data Into DatabaseMS SQLSERVER:Feeding Data Into Database
MS SQLSERVER:Feeding Data Into Database
 
MS SQLSERVER:Doing Calculations With Functions
MS SQLSERVER:Doing Calculations With FunctionsMS SQLSERVER:Doing Calculations With Functions
MS SQLSERVER:Doing Calculations With Functions
 
MS SQLSERVER:Deleting A Database
MS SQLSERVER:Deleting A DatabaseMS SQLSERVER:Deleting A Database
MS SQLSERVER:Deleting A Database
 
MS SQLSERVER:Customizing Your D Base Design
MS SQLSERVER:Customizing Your D Base DesignMS SQLSERVER:Customizing Your D Base Design
MS SQLSERVER:Customizing Your D Base Design
 
MS SQLSERVER:Creating Views
MS SQLSERVER:Creating ViewsMS SQLSERVER:Creating Views
MS SQLSERVER:Creating Views
 
MS SQLSERVER:Creating A Database
MS SQLSERVER:Creating A DatabaseMS SQLSERVER:Creating A Database
MS SQLSERVER:Creating A Database
 

Último

Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessPixlogix Infotech
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 

Último (20)

Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 

MS SQL SERVER: SSIS and data mining

  • 1. SQL Server Integration ServicesAnd Data Mining
  • 2. Overview Standard Tasks in SSIS SSIS Packages Data Flow Working with SSIS in Data Mining Data Mining Transformations Text Mining Transformations Summary
  • 3. Overview of SSIS SQL Server Integration Services (SSIS) is a component of the Microsoft SQL Server database software which can be used to perform a broad range of data migration tasks. SSIS is a platform for data integration and workflow applications. It features a fast and flexible data warehousing tool used for data extraction, transformation, and loading (ETL). The tool may also be used to automate maintenance of SQL Server databases and updates to multidimensional cube data.
  • 6. SSIS Packages A package is the basic deployment and execution unit of an SSIS project. An SSIS package is the container for SSIS flows. You can create an SSIS package by right-clicking the SSIS Package folder in the Integration Services project folder and selecting the New SSIS Package menu item. An SSIS project may contain multiple packages. A package contains only one control flow, which may contain one or more data flows. In addition to control flow and data flow, a package contains SSIS connections and package variables.
  • 7. Task Flow and Containers Tasks are listed in the SSIS Toolbox. You can add a task to the package by dragging it from the Toolbox and dropping it into the package designer. A package usually contains multiple tasks in a task flow. Multiple tasks are organized in sequential order with precedence constraints. Containers are SSIS objects that provide structure to a package. Each package has a container, which stores the flows of a package.
  • 8. Data Flow Example
  • 9.
  • 10. In Solution Explorer, double-click the package to open it.
  • 12. On the design surface of the Control Flow tab, right-click the task or container, and then click Properties.
  • 14. Optionally, create property expressions to dynamically update the properties of the task or container.
  • 15.
  • 16. In Solution Explorer, double-click the package to open it.
  • 18. On the design surface of the Control Flow tab, right-click the task or container, and then click Edit to open the corresponding task or container editor.
  • 19. If the task or container editor has multiple nodes, click the node that contains the property that you want to set.
  • 20. Optionally, click Expressions and, on the Expressions page, create property expressions to dynamically update the properties of the task or container.
  • 22.
  • 23. Data Mining Transformations The data flow components can be categorized in three large groups, depending on their position in the data flow:
  • 24. Text Mining Transformations you must first bring the text to some form that can be consumed by the algorithms, to perform text mining with SQL Server Data Mining. The solution included in the product is to represent each piece of text as a collection of words and phrases.
  • 25.
  • 26. Clustering models that find similar documents based on common occurrences
  • 27.
  • 28. Visit more self help tutorials Pick a tutorial of your choice and browse through it at your own pace. The tutorials section is free, self-guiding and will not involve any additional support. Visit us at www.dataminingtools.net