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

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 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

3.  Overview ,Creating Data Jobs
 Creating, Building a Process Job
 QKB

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)

7. Data Input Nodes
Data Source
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
Data Joining
Data Joining (Non Key)
Data Union
SQL Look Up
SQL Execute
Parameterized SQL Query

10. Utilities
Expression
Data Validation
Concatenate
Branch
Sequencer
Field Layout

11. Profile

 Pattern Analysis
 Basic Statistics
 Frequency Distribution
 Basic Pattern Analysis

12. Entity Resolution
 Match Codes
 Clustering
 Surviving Records Identification


13. Quality
Gender Analysis
Identification Analysis
Parsing
Standardization
Standardization (Parsed)
Change Case

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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