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SAP Exam C_SIGDA_2403 Topic 1 Question 2 Discussion

Actual exam question for SAP's C_SIGDA_2403 exam
Question #: 2
Topic #: 1
[All C_SIGDA_2403 Questions]

Why does extracted data typically need to be transformed? Note: There are 2 correct answers to this

question.

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Suggested Answer: A, D

by Carey at Apr 12, 2024, 11:30 PM

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Rebecka
10 months ago
Transforming the data is like a secret decoder ring for the target system. Gotta crack that code to make it work.
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Vernell
9 months ago
User 2
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Minna
10 months ago
User 1
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Kimbery
10 months ago
Transformation? More like data origami, am I right? Gotta fold and shape that info just right.
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Erick
10 months ago
Exactly! It's all about making the data usable and meaningful.
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Corrinne
10 months ago
Yes, transforming data is like shaping it to fit the desired structure.
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Delsie
11 months ago
In addition, transforming data can help in integrating data from multiple sources.
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Susy
11 months ago
Transformation is crucial to make the data usable. Can't just throw it in as-is, gotta clean it up first.
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Lashaun
10 months ago
Exactly, transformation is necessary for data quality
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Remedios
10 months ago
To correct errors and inconsistencies
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Ligia
10 months ago
To standardize the format and structure
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Marshall
11 months ago
So the data doesn't end up looking like a jumbled mess. Transformation is the key to keeping things organized.
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Daniela
10 months ago
To correct errors in the data
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Danica
10 months ago
To standardize the format
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India
11 months ago
To correct errors and inconsistencies
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Fernanda
11 months ago
To standardize the format
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Brandon
11 months ago
Exactly, it's important for data to be consistent and accurate for meaningful insights.
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Cheryll
12 months ago
To ensure data consistency and compatibility with the target system. Gotta make that data play nice, you know?
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Bo
10 months ago
To comply with the requirements of the target system.
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Alecia
10 months ago
To correct errors and inconsistencies in the data.
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Wilbert
10 months ago
To integrate data from multiple sources.
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Stefany
11 months ago
To clean and standardize the data for analysis.
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Amie
11 months ago
Gotta make that data play nice, you know?
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Meaghan
11 months ago
To ensure data consistency and compatibility with the target system.
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Lenna
11 months ago
Yes, transforming data also helps to clean and enrich the data for better analysis.
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Ceola
11 months ago
Exactly! Transforming data helps to standardize formats and ensure accuracy.
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Mari
12 months ago
Transforming data can also involve aggregating or summarizing information.
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Carin
1 years ago
I agree, transforming data helps in standardizing format for analysis.
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Brandon
1 years ago
Extracted data needs to be transformed to clean up inconsistencies.
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Cletus
11 months ago
To integrate data from different sources.
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Herman
11 months ago
To remove duplicates.
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Reena
1 years ago
Absolutely, Joseph. Transformation is the data protection detail we all need to take seriously. Can't have any sensitive info slipping through the cracks.
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Markus
1 years ago
I agree, Annabelle. Plus, the extracted data may contain inconsistencies or errors that need to be cleaned up before it can be used. Transformation is crucial for ensuring data quality and integrity.
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Annabelle
1 years ago
Hmm, this is an interesting question. Extracted data needs to be transformed because the original format may not be compatible with the target system or database. We need to ensure the data is in the right structure and format for it to be properly integrated.
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