Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING

3,046 views

Published on

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

Published in: Education
  • Be the first to comment

  • Be the first to like this

SAS DATAFLUX DATA MANAGEMENT STUDIO TRAINING

  1. 1. OUTSOURCING RESOURCES & TECHNICAL SUPPORT CORPORATE & INDIVIDUAL TRAINING BIDWHM@GMAIL.COM INSTALLATION & ADMIN SUPPORT INSTALLATION ADMINISTRATION ONLINE /CLASS ROOM /CORPORATE TRAINING TECHNICAL SUPPORT
  2. 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. 3.  Overview ,Creating Data Jobs  Creating, Building a Process Job  QKB
  4. 4. Score Board ,Model validation ,Logistic, Linear ,Cluster ,GML ,Comparing Models ,Predictive Modelling, BASEL II Model Validation & technical support ,Segmentation analysis
  5. 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. 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. 7. Data Input Nodes Data Source SQL Query Text File Input Job Specific data
  8. 8. Data Output Data Target (Insert) Data Target (Update) Delete Record HTML Text File output Frequency Distribution
  9. 9. Data Integration Data Sorting Data Joining Data Joining (Non Key) Data Union SQL Look Up SQL Execute Parameterized SQL Query
  10. 10. Utilities Expression Data Validation Concatenate Branch Sequencer Field Layout
  11. 11. Profile   Pattern Analysis  Basic Statistics  Frequency Distribution  Basic Pattern Analysis
  12. 12. Entity Resolution  Match Codes  Clustering  Surviving Records Identification 
  13. 13. Quality Gender Analysis Identification Analysis Parsing Standardization Standardization (Parsed) Change Case
  14. 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. 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. 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. 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. 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. 19. Total slides are 210  OUTSOURCING RESOURCES & TECHNICAL SUPPORT  CORPORATE & INDIVIDUAL TRAINING BIDWHM@GMAIL.COM  INSTALLATION & ADMIN SUPPORT

×