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About Course:

This course is designed to prepare professional real world cognos reports. Teaches participants how to move, merge, consolidate, and transform data from a range of data sources to buildand maintain subject-area data marts. In the process, students will create a catalog and add connections to data sources and targets. They will also deliver fact and dimension data to a data mart through the use of builds and the dimensional framework. In addition, students will learn how to automate common functionality and handle complex data issues, such as unbalanced hierarchical structures. It is designed for professional report authors to learn fundamental and advanced report building techniques using relational data models, and methods of enhancing, customizing, and managing professional reports. Attendees will participate in hands-on demos and workshops that illustrate key concepts while learning how to use the product.


Duration : 30 hours


Fee: 319


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Who Should Learn?

Business Intelligence, Analytics and Reporting Professionals

IT Developers, Testers, Project Managers, Data Scientists, and Statisticians

Prerequisite

Anybody can take up this training regardless of their skills. However, having a basic knowledge of SQL is beneficial.

Delivery Methodology

We are using an experiential delivering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course.

Class Delivery

Live Interactive classes with expert

Training Calender

Date Time Type Attend
No Schedule Available
Contact Us

+91 769-409-5404

Includes
  • 24 hours on-demand video
  • Articles
  • Coding Exercises
  • Full lifetime access
  • Certificate of Completion

Curriculum

Cognos Build Data Marts Reports and Dashboards

Getting Started

  • Identify the purpose of IBM Cognos Data Manager
  • Define data warehousing and its key underlying concepts
  • Identify how Data Manager creates data warehouses
  • Examine the Data Manager architecture and user interface

Create Derivations

  • Examine derivations
  • Apply operators and functions to derivations
  • Examine the derivation timing model
  • Add derivations to a fact build

Process Dimensional History and Late Arriving Facts

  • Examine slowly changing dimensions (SCDs)
  • Use surrogate keys in SCDs
  • Manage type 1 and type 2 changes to dimensional data
  • Load historical data for a dimension
  • Examine late arriving facts
  • Process late arriving facts in a fact build

Customize Fact Data Processing

  • Filter fact data
  • Merge duplicate fact data
  • Examine fact data integrity checking
  • Reject fact data

Automate Functionality Using Commands

  • Differentiate between the Command Line Interface (CLI) and Data Manager Designer
  • Identify common commands
  • Use commands in a batch file
  • Examine variables

Pivot Fact Data

  • Examine pivoting
  • Use the single pivot technique
  • Use the advanced pivot technique

Create List Reports

  • Format, group, and sort list reports
  • Describe options for aggregating data
  • Create a multi-fact query
  • Create a report with repeated data

Present Data Graphically

  • Create charts containing peer and nested items
  • Add context to charts
  • Present key data in a single dashboard report

Present Data Using Maps

  • Present data using map reports
  • Navigate to another level within a map

Create Query Reports Based on Relationships

  • Create reports by merging query results
  • Create reports by joining queries
  • Combine data containers based on relationships from different queries

Enhance UserInteraction with HTML

  • Create tooltips that clarify report data
  • Send emails using links in a report

Create a Catalog

  • Examine the purpose and contents of Data Manager catalogs
  • Create a catalog
  • Define connections to source and target data
  • Access data using SQLTerm
  • Configure flat data source files using SQLTXT

Create Conformed Dimensions

  • Examine conformed dimensions and their advantages
  • Design conformed dimensions
  • Create conformed dimensions
  • Create data integrity lookups that use conformed dimensions

Transform Data Using Lookups and Derived Dimensions

  • Identify when to use lookups
  • Identify the requirements for a lookup
  • Create a translation lookup
  • Create an optional lookup
  • Add derived dimensions to fact builds

Aggregate, Filter, and Partition Fact Data

  • Aggregate fact data
  • Examine aggregate rules
  • Vertically restrict fact data
  • Horizontally restrict fact data
  • Partition fact data

Customize Functionality with User-Defined Functions and Variables

  • Examine user defined functions (UDFs)
  • Create an internal UDF
  • Create a user-defined variable

Resolve Data Quality Issues

  • Identify data quality and cleansing issues
  • Handle fostered and unmatched members
  • Perform debugging using SQLTerm and functions
  • Assess the quality of output data

Focus Reports Using Filters

  • Create filters to narrow the focus of reports
  • Examine detail and summary filters
  • Determine when to apply filters on aggregate data

Focus Reports Using Prompts

  • Identify various prompt types
  • Use parameters and prompts to focus data
  • Customize prompts to facilitate users' choices
  • Display users' prompt selections in the report

Customize Reports with Conditional Formatting

  • Create multi-lingual reports
  • Highlight exceptional data
  • Conditionally render objects in reports

Design Effective Prompts

  • Control report displays using prompts
  • Specify conditional formatting values using prompts
  • Specify conditional rendering of objects based on prompt selection
  • Create sorted and filtered reports based on prompt selection

End-to-End Workshop (Optional)

Create Hierarchies

  • Examine the role of the dimensional framework in Data Manager
  • Examine hierarchies and their data sources
  • Identify how to create hierarchies from the columns of one table, the rows of one table, and from multiple tables
  • Test and view hierarchies
  • Create a hierarchy of static date values
  • Handle weeks in a date hierarchy

Customize Reference Structures

  • Create hierarchies manually using different approaches
  • Examine the features of a hierarchy
  • Examine literals
  • Set data access for hierarchy levels
  • Examine static and dynamic members
  • Examine fostering

Customize Data Delivery

  • Configure fact and dimension delivery modules
  • Create indexes on fact and dimension tables
  • Update fact data using keys

Implement Job Control

  • Examine where job control fits into the data warehouse lifecycle
  • Create a JobStream
  • Add, link, and reposition nodes
  • Execute a JobStream and view the results

Process Unbalanced Hierarchical Data

  • Examine balanced, unbalanced, and ragged hierarchies
  • Add a recursive level to a hierarchy
  • Identify ways to balance a hierarchy and delivered flattened data
  • Examine circular references

Organize and Package Data Manager Components

  • Export and import components using packages
  • Search for components in a catalog using Navigator

Create Crosstab Reports

  • Format and sort crosstab reports
  • Convert a list to a crosstab
  • Create crosstabs using unrelated data items
  • Create complex crosstabs using drag and drop functionality

Extend Reports Using Calculations

  • Create calculations based on data in the data source
  • Add run-time information to the reports
  • Create expressions using functions

Drill-through Definitions

  • Enable users to navigate to related data in IBM Cognos BI
  • Parameter-driven drill through vs. dynamic drill through
  • Steps to enable drill-through access for a package
  • Limit the items that users can drill through from (set scope)

Create Additional Advanced Reports

  • Create a report that displays summarized data before detailed data
  • Highlight alternate rows in a list report
  • Create a report using an external data file
  • Use single data items to summarize report information

Use Case

Certificate

Certificate
Benefits of Certificate

Certification demonstrates your dedication, motivation and technical knowledge on a specific platform. Having a certification shows that you not only possess comprehensive knowledge of that technology but you also care enough about your own career to spend the time and money to get the certification.

We are welcoming our Students or professionals to participate in our professional online courses. We are offering great variety of online training programs and professional courses that you can always find as desired. After the completion of training program they will receive a certificate from BISP. As a Certified professional you can apply that knowledge in your future profession and enjoy with better salaries & career prospects.

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