Informatica Cloud Data Quality | CDQ Assets Explained

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Informatica Cloud Data Quality(CDQ)

• Demo session

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Key features of CDQ training

• ? You will get one Certification from Informatica
  for sure, we will take complete responsibility
  for this.
• ? You are directly connecting with trainer, so
  you can connect with me anytime after training
  completion as well. You can rejoin other batches
  anytime for revision.
• ? IDMC all important CDQ Services will be covered
  like MDM, CDI, Data quality and Data profiling
  etc. integration between CDQ, CDI and MDM SaaS
• ? 200 Real-time project scenarios will be
  covered.
• ? 1 Real-time Projects will be covered.
• ? All Basic and Advance topics will be covered.
• ? All topics related to Installation,
  Development, Testing and Support will be covered.
  
• ? All materials will have life time access
• ? Separate and dedicated classes for Resume
  preparation, Interview preparation and Job
  support.
• Trainer Profile - Trainer having 14 years of IT
  experience including 6 Years onsite Singapore
  experience.
• https//www.linkedin.com/in/sujeet-p-83207161/
• Pre-requisite - We will start from very Basic and
  will go to advance level, no prior experience
  needed in any tools.
• Job scope - This is one of leading Cloud DQ tool
  in market, having very huge demand globally. we
  have multiple openings with us for many of our
  clients. demand is very high and supply of
  resources are very less.
• LAB Access for Practice - We will instruct you to
  get LAB access directly from Informatica.
  Informatica will provide Cloud access for
  practice.

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CDQ Course content
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Data Quality Assets

• Verifier
• Labeler
• Deduplicate
• Cleanse
• Dictionary
• Rule Specification
• Parse

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Verifier Assets

• Evaluates the accuracy and deliverability of
  address records
• Determine the accuracy of the input addresses
• Fix errors in the addresses
• Enhance the addresses where possible with
  additional information.
• Measure and report on the quality of each address

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Labeler Assets

• Derives information about the content and
  structure of data.
• Perform token labeling or character labeling.
• Token labeling analyzes one or more tokens, or
  delimited values, in an input field
• Character labeling analyzes the individual
  characters in the input field.

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Deduplicate Assets

• Calculates degree of similarity between records
  and generates output data for these calculations
• Based on the Match Transformation
• Identity matching
• Single source / single data set
• An identity is a set of data values that
  collectively identify a person or organization

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Cleanse Assets

• It's a set of one or more data transformation
  steps that can standardize the form and content
  of your data
• Perform cleanse and merge operations on the
  input fields that a cleanse instance identifies
  in the asset

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Dictionary Assets

• Reference data set that you can use to evaluate
  data in a mapping
• Use dictionaries to verify that the data values
  on a data source or another object in a mapping
  are accurate and correctly formatted

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Parse Asset

• Use a parse asset to improve the structure of
  your data
• A parse asset defines a set of operations that
  can identify discrete values in an input field
  and write the values to appropriate output fields

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Rule Specification Asset

• A rule specification is an asset that
  represents the data requirements of a business
  rule in logical form

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Thank You !
References https//informatica.com
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