The Best DataManager Online Training Institute From Hyderabad, India

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Url: Contact us: +91-9989275111, trainings@cognos10onlinetraining.com » www.cognos10nlinetraining.com

The Best DataManager Online Training Institute From Hyderabad, India Course Content:

Examine derivations Apply operators and functions to derivations Examine the derivation timing model Add derivations to a fact build CREATE CONFORMED DIMENSIONS Examine conformed dimensions and their advantages Design conformed dimensions Create conformed dimensions Create data integrity lookups that use conformed dimensions 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 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 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 CUSTOMIZE DATA DELIVERY Configure fact and dimension delivery modules Create indexes on fact and dimension tables Update fact data using keys CUSTOMIZE FACT DATA PROCESSING Filter fact data Merge duplicate fact data Examine fact data integrity checking Reject fact data AGGREGATE, FILTER, AND PARTITION FACT DATA Aggregate fact data Examine aggregate rules Vertically restrict fact data Horizontally restrict fact data Partition fact data 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 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 CUSTOMIZE FUNCTIONALITY WITH USER-DEFINED FUNCTIONS AND VARIABLES Examine user defined functions (UDFs) Create an internal UDF Create a user-defined variable 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 PIVOT FACT DATA Examine pivoting Use the single pivot technique Use the advanced pivot technique Examine reverse pivoting 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 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 ORGANIZE AND PACKAGE DATA MANAGER COMPONENTS Export and import components using packages Search for components in a catalog using Navigator 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 Connection


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