SAS DataFlux Management studio training,Technical support ,Outsourcing ,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
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INSTALLATION
ADMINISTRATION
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TECHNICAL SUPPORT
2. 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
4. Score Board ,Model validation ,Logistic, Linear
,Cluster ,GML ,Comparing Models ,Predictive
Modelling, BASEL II Model Validation & technical
support ,Segmentation analysis
5. 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
6. 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)
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 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
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 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.
19. Total slides are 210
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