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IBM Cognos Data Manager: Build Data Marts with Enterprise Data (V10.2)

IBM Cognos Data Manager: Build Data Marts with Enterprise Data (V10.2)

Category: Cognos

Description

IBM Cognos Data Manager: Build Data Marts with Enterprise Data (V10.2) is a five-day, instructor-led course that teaches participants how to move, merge, consolidate, and transform data from a range of data sources to build and 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.

Audience

This course is intended for Developers.

Duration

5 days

Requirements

You should have:

  • a knowledge of basic Windows functionality, database and dimensional analysis concepts, as well as a working knowledge of SQL

Curriculum

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
p>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
p>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
p>Create Basic Builds

  • Examine Data Manager builds and build-related terminology
  • Create a dimension build using the Dimension Build wizard
  • Create a fact build using the Fact Build wizard
  • Test and execute a fact build
  • Document a catalog
  • Create catalog schema
p>Create Derivations

  • Examine derivations
  • Apply operators and functions to derivations
  • Examine the derivation timing model
  • Add derivations to a fact build
p>Create Conformed Dimensions

  • Examine conformed dimensions and their advantages
  • Design conformed dimensions
  • Create conformed dimensions
  • Create data integrity lookups that use conformed dimensions
p>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
  • Use derivations in a hierarchy
p>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 dimensio/li>
  • Examine late arriving facts
  • Process late arriving facts in a fact build
p>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
p>Customize Data Delivery

  • Configure fact and dimension delivery modules
  • Create indexes on fact and dimension tables
  • Update fact data using keys
p>Customize Fact Data Processing

  • Filter fact data
  • Merge duplicate fact data
  • Examine fact data integrity checking
  • Reject fact data
p>Aggregate, Filter, and Partition Fact Data

  • Aggregate fact data
  • Examine aggregate rules
  • Vertically restrict fact data
  • Horizontally restrict fact data
  • Partition fact data
p>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
p>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
p>Customize Functionality with User-Defined Functions and Variables

  • Examine user defined functions (UDFs)
  • Create an internal UDF
  • Create a user-defined variable
p>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
p>Pivot Fact Data

  • Examine pivoting
  • Use the single pivot technique
  • Use the advanced pivot technique
  • Examine reverse pivoting
p>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
p>Troubleshoot and Tune the Data Manager Environment

  • Use build logging to ensure that data marts are being loaded properly
  • Perform dimension breaking
  • Manage memory and resources
  • Export DDL statements
p>Organize and Package Data Manager Components

  • Export and import components using packages
  • Search for components in a catalog using Navigator
p>Integrate with IBM Cognos BI

  • Examine IBM Cognos BI
  • Identify the role of metadata dimensions, metadata collections, and metadata stars
  • Export Data Manager metadata to XML
  • Import Data Manager XML into Framework Manager
  • Use Data Manager metadata with IBM Cognos BI
  • Publish a data movement task to IBM Cognos Connectio/li>
p>End-to-End Workshop

p>Entity-Relationship Model of the GO_Demo Database (Optional)

p>Work in a Multi-Developer Environment (Optional)

  • Examine collaborative development support
  • Examine the source code repository
  • Examine the component dependency model
  • Identify planning considerations
p>Standardizing Dimensions and Facts Exercise (Optional)

p>Review of Data Manager Essentials (Optional)

  • Data warehouse desig/li>
  • The purpose of Data Manager components
  • Development steps in Data Manager to create data marts
  • Track dimensional changes and late arriving facts
p>Work with SAP R/3 Data (Optional)

  • Identify how to access SAP R/3 data sources using the IBM Cognos Data Manager Connector for SAP R/3 tool

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Q&A

  • Can you customize courses to suit our particular requirements? Yes, of course. We offer training consultancy and we establish the most appropriate solution according to the specific needs and business objectives of your company. Contact us and we’ll find the best training solution for you.
  • Can individuals use your services or they are organized for companies?Yes, we organise open courses which can be accessed by individuals. Whether you are looking for an IT or a Business training, you can find it at Brain Concert. Moreover, you’ll meet people from the same area of work as you and we can create communities of practice, where you can share professional tips and tricks and best practices.
  • What types of trainings are available for my company? We offer a variety of courses: in the IT area, there are Agile & Lean Courses, Software Development Courses, QA Courses, Software Administration Courses and Security Courses. We also offer Business Courses, focused on the development of soft skills. Define your objectives and choose the most appropriate training for you or your company.
  • What should I know before choosing a training? You should know that we offer courses for everyone, but you have to choose according to some criteria. First, define your objectives, then, the level of the participants (basic, advanced). There are courses with some requirements attached because the participants of a training session must form a compact group in terms of their previous knowledge so that they and the trainers are on the same page.
  • What is the minimum number of participants if we want in-house training? The minimum number of participants for an in-house depends on the course type. Please contact us to establish these details.
  • Can you organize virtual training sessions or only face to face trainings? Yes, you can choose an online or offline training session. We use Knolyx, an e-learning platform to make the process of online training delivery as efficient as a face to face training session.