Data Archiving and SSIS: Merging and Transforming Data
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Questions and Answers

What tool does SQL Server Integration Services use for managing complex updating scenarios?

  • Slowly Changing Dimension Wizard (correct)
  • Swiftly Transforming Schema Tool
  • Fastly Updating Dimension Tool
  • Quickly Modifying Data Manager
  • Why is data cleansing important in the context of businesses receiving data from multiple sources?

  • To add complexity to the systems
  • To confuse the users
  • To standardize and clean the data (correct)
  • To create duplicate records
  • Which SSIS feature can be used to identify and remove duplicate records before data loading?

  • Duplication Checker
  • Data Redundancy Detector
  • Grouping Transformation (correct)
  • Repetition Eliminator
  • What type of tasks can SSIS perform with its rich data transformation capability?

    <p>Copying SQL server objects, loading bulk data, and more</p> Signup and view all the answers

    In the context of data transformation, what does SSIS enable businesses to do?

    <p>Cleaning, converting, and enriching data</p> Signup and view all the answers

    Why is standardizing data formats essential when handling information from different business areas?

    <p>To streamline data management and ensure consistency</p> Signup and view all the answers

    What is one of the common practices in businesses related to data archiving?

    <p>Merging data into a single dataset</p> Signup and view all the answers

    Which tool is commonly used to homogenize information for archiving purposes?

    <p>SSIS</p> Signup and view all the answers

    What challenge do businesses face regarding data warehouses and marts?

    <p>Maintaining over-populated data warehouses</p> Signup and view all the answers

    What feature in SSIS helps in rerunning a package and handling errors during complex data-loading scenarios?

    <p>Checkpoints</p> Signup and view all the answers

    In the context of data indexing or history management, what is crucial within data warehouses?

    <p>History management</p> Signup and view all the answers

    How can SSIS transform archived information to make it a valuable data source?

    <p>By splitting and merging</p> Signup and view all the answers

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