Data Archiving and SSIS: Merging and Transforming Data

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12 Questions

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

Slowly Changing Dimension Wizard

Why is data cleansing important in the context of businesses receiving data from multiple sources?

To standardize and clean the data

Which SSIS feature can be used to identify and remove duplicate records before data loading?

Grouping Transformation

What type of tasks can SSIS perform with its rich data transformation capability?

Copying SQL server objects, loading bulk data, and more

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

Cleaning, converting, and enriching data

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

To streamline data management and ensure consistency

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

Merging data into a single dataset

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

SSIS

What challenge do businesses face regarding data warehouses and marts?

Maintaining over-populated data warehouses

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

Checkpoints

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

History management

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

By splitting and merging

Explore the process of data archiving and how SSIS is used to merge and transform data from various sources into a single dataset. Learn how businesses archive information for future use and how SSIS helps in handling large volumes of data efficiently.

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