OUTSOURCING RESOURCES & TECHNICAL SUPPORT
CORPORATE & INDIVIDUAL TRAINING BIDWHM@GMAIL.COM
INSTALLATION & ADMIN SUPPORT
INSTALLATION
ADMINISTRATION
ONLINE /CLASS ROOM /CORPORATE TRAINING
TECHNICAL SUPPORT
DF Content
DataFlux Data Management Platform
Overview of DataFlux Data Management Studio
DataFlux Methodology: Plan, Act, and Monitor
Managing Repositories
Different types of Data Connections
Creating and Managing Data Collections
Creating , Setting , Working with Data Explorations
Introduction ,Creating Business Rules and Custom Metrics
Overview, Creating , Preparing of Data Profiles
 Overview ,Creating Data Jobs
 Creating, Building a Process Job
 QKB
Score Board ,Model validation ,Logistic, Linear
,Cluster ,GML ,Comparing Models ,Predictive
Modelling, BASEL II Model Validation & technical
support ,Segmentation analysis
DataFlux Expression Engine Language
Array Functions
Blue Fusion Functions
Boolean Functions
Database Functions
Data Input Functions
Date and Time Functions
Event Functions
Execution Functions
External File Functions
Information/Conversion Functions
Logging Functions
Testing and Evaluating
 Selecting Output Fields
 Sub-Setting
 Initializing and Declaring Variables
 Saving Expressions
 Counting Records
 Debugging and Printing Error Messages
 Creating Groups
 Retrieving and Converting Binary Data
Defining business rules
Data profiling with business rules and alerts
Data jobs with business rules
Data jobs with monitoring tasks
Working Through the MONITOR Phase of the DataFlux
Methodology(Business Rule creation)
Data Input Nodes
Data Source
SQL Query
Text File Input
Job Specific data
Data Output
Data Target (Insert)
Data Target (Update)
Delete Record
HTML
Text File output
Frequency Distribution
Data Integration
Data Sorting
Data Joining
Data Joining (Non Key)
Data Union
SQL Look Up
SQL Execute
Parameterized SQL Query
Utilities
Expression
Data Validation
Concatenate
Branch
Sequencer
Field Layout
Profile

 Pattern Analysis
 Basic Statistics
 Frequency Distribution
 Basic Pattern Analysis
Entity Resolution
 Match Codes
 Clustering
 Surviving Records Identification

Quality
Gender Analysis
Identification Analysis
Parsing
Standardization
Standardization (Parsed)
Change Case
DataFlux Data Management
 The DataFlux Data Management
Platform enables you to discover,
design, deploy and maintain data
across your enterprise in a centralized
way.
 The following diagram illustrates the
components of the platform
Overview of Data Management Studio
 DataFlux Data Management Studio is a
data management suite that combines
 Data quality,
 Data integration,
 Master data management.
 It provides a process and technology
framework to deliver a single, accurate
and consistent view of your enterprise
data.
 Data Management Studio gives you the
ability to:
 Merge customer, product, or other
enterprise data
 Unify disparate data through a variety of
data integration methods (batch, real
time, virtual)
 Verify and complete address information
 Integrate disparate data sets and ensure
data quality
 Transform and standardize product codes
 Monitor data for compliance in batch or
real time
 Manage metadata hierarchy and visibility
DataFlux Methodology: Plan, Act, and Monitor
 The main activities in the DataFlux methodology are as follows:
I. Plan - Identify patterns and problems in your data.
II. Act - Create processes to improve data quality and data integration.
III. Monitor - Monitor your processes for data quality and data integration
Overview
 1Main Menu — Enables you to select features that are active in
the current context. For more information, see Main Menu.
 2Navigation Pane —Enables you to navigate riser bars, trees, and
folders.
 3Navigation Riser Bar — Enables you to select riser bars that
display a set of related features. For more information, see
Information Riser Bar, Data Riser Bar, Folders Riser Bar, Business
Data Riser Bar, Data Management Servers Riser Bar, or
Administration Riser Bar.
 4Status Bar — Displays status messages, current server logins,
and similar information.
 5Information Pane — Contains one or more portlets that display
information, such as a list of the files that were last accessed, or
details about a selected item.
 6Title Bar — Displays the product name.
 7Portlets — Components that display information, such as a list
of the files that were last accessed, or details about a selected
item.
 8Toolbar — A set of icons that enable you to access context-
sensitive features with one click.
Overview of the Job Dialog
 1Home Tab — Click this tab to return to the main window, so that
you can select or open another item from the Riser Bars.
 2Resource Pane — Contains components such as the Nodes tree,
the Folders tree, and the
 3Help Area. Help Area — When a node is selected in the Nodes
tree, a brief description of the node is displayed in the Help Area,
along with a link to the help topic for that node.
 4Details Pane — Displays tabs for the selected node, a log for the
current job, and other information about the selected item.
 5Work Area — The area where you build flows for data jobs and
process jobs.
 6Secondary Toolbar — A set of icons that enable you to access
context-sensitive features that are appropriate for the work area.
 7Secondary Tabs — A set of tabs for the current job or a node
that is selected within the job.
 8Detach Tab — Click this tab to detach the job dialog from the
main Data Integration Studio window.
 9Primary Tabs — Each open job has a primary tab.
Total slides are 210
 OUTSOURCING RESOURCES & TECHNICAL SUPPORT
 CORPORATE & INDIVIDUAL TRAINING BIDWHM@GMAIL.COM
 INSTALLATION & ADMIN SUPPORT
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING
SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING

SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING

  • 1.
    OUTSOURCING RESOURCES &TECHNICAL SUPPORT CORPORATE & INDIVIDUAL TRAINING BIDWHM@GMAIL.COM INSTALLATION & ADMIN SUPPORT INSTALLATION ADMINISTRATION ONLINE /CLASS ROOM /CORPORATE TRAINING TECHNICAL SUPPORT
  • 2.
    DF Content DataFlux DataManagement Platform Overview of DataFlux Data Management Studio DataFlux Methodology: Plan, Act, and Monitor Managing Repositories Different types of Data Connections Creating and Managing Data Collections Creating , Setting , Working with Data Explorations Introduction ,Creating Business Rules and Custom Metrics Overview, Creating , Preparing of Data Profiles
  • 3.
     Overview ,CreatingData Jobs  Creating, Building a Process Job  QKB
  • 4.
    Score Board ,Modelvalidation ,Logistic, Linear ,Cluster ,GML ,Comparing Models ,Predictive Modelling, BASEL II Model Validation & technical support ,Segmentation analysis
  • 5.
    DataFlux Expression EngineLanguage Array Functions Blue Fusion Functions Boolean Functions Database Functions Data Input Functions Date and Time Functions Event Functions Execution Functions External File Functions Information/Conversion Functions Logging Functions Testing and Evaluating  Selecting Output Fields  Sub-Setting  Initializing and Declaring Variables  Saving Expressions  Counting Records  Debugging and Printing Error Messages  Creating Groups  Retrieving and Converting Binary Data
  • 6.
    Defining business rules Dataprofiling with business rules and alerts Data jobs with business rules Data jobs with monitoring tasks Working Through the MONITOR Phase of the DataFlux Methodology(Business Rule creation)
  • 7.
    Data Input Nodes DataSource SQL Query Text File Input Job Specific data
  • 8.
    Data Output Data Target(Insert) Data Target (Update) Delete Record HTML Text File output Frequency Distribution
  • 9.
    Data Integration Data Sorting DataJoining Data Joining (Non Key) Data Union SQL Look Up SQL Execute Parameterized SQL Query
  • 10.
  • 11.
    Profile   Pattern Analysis Basic Statistics  Frequency Distribution  Basic Pattern Analysis
  • 12.
    Entity Resolution  MatchCodes  Clustering  Surviving Records Identification 
  • 13.
  • 14.
    DataFlux Data Management The DataFlux Data Management Platform enables you to discover, design, deploy and maintain data across your enterprise in a centralized way.  The following diagram illustrates the components of the platform
  • 15.
    Overview of DataManagement Studio  DataFlux Data Management Studio is a data management suite that combines  Data quality,  Data integration,  Master data management.  It provides a process and technology framework to deliver a single, accurate and consistent view of your enterprise data.  Data Management Studio gives you the ability to:  Merge customer, product, or other enterprise data  Unify disparate data through a variety of data integration methods (batch, real time, virtual)  Verify and complete address information  Integrate disparate data sets and ensure data quality  Transform and standardize product codes  Monitor data for compliance in batch or real time  Manage metadata hierarchy and visibility
  • 16.
    DataFlux Methodology: Plan,Act, and Monitor  The main activities in the DataFlux methodology are as follows: I. Plan - Identify patterns and problems in your data. II. Act - Create processes to improve data quality and data integration. III. Monitor - Monitor your processes for data quality and data integration
  • 17.
    Overview  1Main Menu— Enables you to select features that are active in the current context. For more information, see Main Menu.  2Navigation Pane —Enables you to navigate riser bars, trees, and folders.  3Navigation Riser Bar — Enables you to select riser bars that display a set of related features. For more information, see Information Riser Bar, Data Riser Bar, Folders Riser Bar, Business Data Riser Bar, Data Management Servers Riser Bar, or Administration Riser Bar.  4Status Bar — Displays status messages, current server logins, and similar information.  5Information Pane — Contains one or more portlets that display information, such as a list of the files that were last accessed, or details about a selected item.  6Title Bar — Displays the product name.  7Portlets — Components that display information, such as a list of the files that were last accessed, or details about a selected item.  8Toolbar — A set of icons that enable you to access context- sensitive features with one click.
  • 18.
    Overview of theJob Dialog  1Home Tab — Click this tab to return to the main window, so that you can select or open another item from the Riser Bars.  2Resource Pane — Contains components such as the Nodes tree, the Folders tree, and the  3Help Area. Help Area — When a node is selected in the Nodes tree, a brief description of the node is displayed in the Help Area, along with a link to the help topic for that node.  4Details Pane — Displays tabs for the selected node, a log for the current job, and other information about the selected item.  5Work Area — The area where you build flows for data jobs and process jobs.  6Secondary Toolbar — A set of icons that enable you to access context-sensitive features that are appropriate for the work area.  7Secondary Tabs — A set of tabs for the current job or a node that is selected within the job.  8Detach Tab — Click this tab to detach the job dialog from the main Data Integration Studio window.  9Primary Tabs — Each open job has a primary tab.
  • 19.
    Total slides are210  OUTSOURCING RESOURCES & TECHNICAL SUPPORT  CORPORATE & INDIVIDUAL TRAINING BIDWHM@GMAIL.COM  INSTALLATION & ADMIN SUPPORT