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  1. Preface
  2. Introduction to Amazon S3 catalog sources
  3. Before you begin
  4. Create catalog sources in Metadata Command Center
  5. View results in Data Governance and Catalog
  6. Appendix A: Managing catalog sources

Amazon S3 Sources

Amazon S3 Sources

Configure data profiling and quality

Configure data profiling and quality

Enable the data profiling capability to evaluate the quality of metadata extracted from the
Amazon S3
source system.
  1. Click the
    Data Profiling and Quality
    tab.
  2. Expand
    Data Profiling
    and select
    Enable Data Profiling
    .
    Ensure that you have permissions on all the staging connections that you use in your data profiling configuration. You can't run the job if you don't have permissions on the connections that you use. Select connections that you have access to, or ask the administrator to grant the necessary permissions on the connections that you want to use.
  3. In the
    Connection and Runtime
    area, choose the Secure Agent group where you want to run catalog source jobs.
  4. Optionally, in the
    Filters
    area, specify additional filters in addition to metadata filters:
    1. Select
      Yes
      to view filter options.
    2. From the Include/Exclude list, choose to include or exclude metadata based on the filter parameters.
    3. From the Object type list, select
      File
      or
      Folder
      .
    4. Enter the path to the object as the filter value.
      Filters can contain the following wildcards:
      • Question mark. Represents a single character.
      • Asterisk. Represents multiple characters.
      Examples:
      • File: You extracted metadata from a folder that contains multiple files and now you want to run a profile on a specific file. Select
        File
        from the Object type option and select
        Named
        from the Filter Criteria option, and then enter the file name in the input field.
      • Folder: You extracted metadata from a folder that contains multiple folders and now you want to run a profile on a specific folder. Select
        Folder
        from the Object type option and select
        Named
        from the Filter Criteria option, and then enter the folder name in the input field.
      To include or exclude multiple objects, click the
      Add
      icon to add filters with the AND condition.
  5. In the
    Parameters
    area, configure the parameters.
    The following table describes the parameters that you can enter:
    Parameter
    Description
    Modes of Run
    Determine the type of data that you want the data profiling task to collect.
    Choose one of the following options:
    • Keep signatures only. Collects only aggregate information such as data types, average, standard deviation, and patterns.
    • Keep signatures and values. Collects both signatures and data values.
    Profiling Scope
    Determine whether you want to run data profiling only on the changes made to the source system or on the entire source system.
    Choose one of the following options:
    • Incremental. Includes only source metadata that is changed or updated since the last profile run.
    • Full. Includes the entire metadata that is extracted based on the filters applied for extraction.
    Sampling Type
    You can run the data profiling task on all rows for an
    Amazon S3
    source system.
    Elastic Runtime Environment
    Select an elastic runtime environment for complex file types, including Avro and Parquet.
    Staging Connection
    The staging connection where data profiling results are stored temporarily during the execution.
    Applicable for data profiling on complex file types.
    Maximum Precision of String Fields
    The maximum precision value for profiles on string data type.
    Text Qualifier
    The character that defines string boundaries. If you select a quote character, profiling ignores delimiters within the quotes. Select a qualifier from the list.
    Default is Double Quote.
    Code Page for Delimited Files
    Select a code page that the Secure Agent can use to read and write data. Use this option to ensure that profile results for assets with non-English characters don't include junk characters. Default value is UTF-8.
    Choose one of the following options:
    • MS Windows Latin 1. Select for ISO 8859-1 Western European characters.
    • UTF-8. Select for Unicode and non-Unicode characters.
    • Shift-JIS. Select for double-byte characters.
    • ISO 8859-15 Latin 9 (Western European).
    • ISO 8859-2 Eastern European.
    • ISO 8859-3 Southeast European.
    • ISO 8859-5 Cyrillic.
    • ISO 8859-9 Latin 5 (Turkish).
    • IBM EBCDIC International Latin-1.
    Escape character for delimited files
    You can specify an escape character if you need to override the default escape character. An escape character ignores a delimiter character in an unquoted string if the delimiter is part of the string value.
    If you specify an escape character, the data profiling task overrides the default escape character that the Metadata Extraction job detects and considers the specified escape character. It then reads the delimiter character as a part of the string value. If you don't specify an escape character, the data profiling task considers the default escape character that the Metadata Extraction job detects and reads the delimiter character as a part of the string value.
    Read Multiple Line JSON Files
    By default, the data profiling job reads each JSON schema as a single line. Select Yes to read input that spans across multiple lines.
  6. Expand
    Data Quality
    and select
    Enable Data Quality
    .
    You can click
    Use Data Profiling Parameters
    to use the same parameters as in the
    Data Profiling
    section.
    Ensure that you have permissions on all the staging and flat file connections that you use in your data quality configuration. You can't run the job if you don't have permissions on the connections that you use. Select connections that you have access to, or ask the administrator to grant the necessary permissions on the connections that you want to use.
  7. In the
    Connection and Runtime
    area, choose the Secure Agent group where you want to run catalog source jobs.
  8. In the
    Parameters
    area, configure the parameters.
    The following table describes the properties that you can enter:
    Parameter
    Description
    Data Quality Rule Automation
    Enable the option to automatically create or update rule occurrences for data elements in the catalog source.
    Choose one of the following options:
    • Apply on Data Elements linked with Business Dataset
      . Creates rule occurrences for all data elements that are linked with business data sets in the catalog source.
    • Apply on all Data Elements
      . Creates rule occurrences for all data elements in the catalog source.
    Data Quality Remediation
    Enable the option to specify a flat file connection to store the list of failed rows so that users can remediate poor data quality scores.
    Choose one of the following options:
    • No
      . Doesn't enable the data quality failure ticket option.
    • Yes
      . Shows a list of flat file connections where you write failed rows to customer-managed locations.
    Data Quality Failure Ticket
    Specify whether you want to create data quality failure tickets for poor data quality scores based on the threshold defined for the rule occurrence in
    Data Governance and Catalog
    .
    Choose one of the following options:
    • No
      . Doesn't automatically create data quality failure tickets when the data quality scores are poor.
    • Yes
      . Automatically creates data quality failure tickets based on the data quality threshold values you define in
      Data Governance and Catalog
      , and notifies you when a data quality score is below the threshold.
    You must configure a workflow event for the data quality failure and enable the event in
    Metadata Command Center
    .
    Cache Result
    Specify how you want to preview rule occurrence results.
    Select
    Agent Cache
    if you want to generate a cache file in the runtime environment and to preview the cached results faster in subsequent data preview runs. The results are cached for seven days by default after the first run in the runtime environment.
    Select
    No Cache
    if you don't want to cache the preview results and view the live results.
    Run Rule Occurrence Frequency
    Specify whether you want to run data quality rules based on the frequency defined for the rule occurrence in Data Governance and Catalog.
    Sampling Type
    You can run the data quality task on all rows for an
    Amazon S3
    source system.
    Elastic Runtime Environment
    Select an elastic runtime environment for complex file types, including Avro and Parquet.
    Staging Connection
    The staging connection where data quality results are stored temporarily during the execution.
    Applicable for data profiling on complex file types.
    Maximum Precision of String Fields
    The maximum precision value for profiles on string data type.
    Text Qualifier
    The character that defines string boundaries. If you select a quote character, profiling ignores delimiters within the quotes. Select a qualifier from the list.
    Default is Double Quote.
    Code page for delimited files
    Select a code page that the Secure Agent can use to read and write data. Use this option to ensure that rule results for assets with non-English characters don't include junk characters. Default value is UTF-8.
    Choose one of the following options:
    • MS Windows Latin 1. Select for ISO 8859-1 Western European characters.
    • UTF-8. Select for Unicode and non-Unicode characters.
    • Shift-JIS. Select for double-byte characters.
    • ISO 8859-15 Latin 9 (Western European).
    • ISO 8859-2 Eastern European.
    • ISO 8859-3 Southeast European.
    • ISO 8859-5 Cyrillic.
    • ISO 8859-9 Latin 5 (Turkish).
    • IBM EBCDIC International Latin-1.
    Escape character for delimited files
    You can specify an escape character if you need to override the default escape character. An escape character ignores a delimiter character in an unquoted string if the delimiter is part of the string value.
    If you specify an escape character, the data quality task overrides the default escape character that the Metadata Extraction job detects and considers the specified escape character. It then reads the delimiter character as a part of the string value. If you don't specify an escape character, the task considers the default escape character that the Metadata Extraction job detects and reads the delimiter character as a part of the string value.
    Read Multiple Line JSON Files
    By default, the data quality job reads each JSON schema as a single line. Select Yes to read input that spans across multiple lines.

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