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SAP Exam E_BW4HANA214 Topic 2 Question 29 Discussion

Actual exam question for SAP's E_BW4HANA214 exam
Question #: 29
Topic #: 2
[All E_BW4HANA214 Questions]

How does column-based storage enable data to be read faster in SAP HANA?

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Suggested Answer: B

by Ben at Nov 17, 2024, 06:41 PM

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Junita
2 months ago
I'm going to go with option C. The dual store approach makes the most sense for how column-based storage improves read speeds.
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Magda
2 months ago
Ha! Option D is just silly. Individual columns don't contain all the information for a record, that's kind of the point of column-based storage.
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Chana
23 days ago
Column-based storage also reduces the amount of data that needs to be read from disk, improving performance.
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Darrin
24 days ago
It allows for better compression and faster access to data compared to row-based storage.
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Tasia
1 months ago
Exactly, that's why column-based storage is faster for analytical queries in SAP HANA.
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Carmelina
1 months ago
I agree, option D doesn't make sense. Column-based storage only reads the columns needed for a query.
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Shawna
2 months ago
Option C seems like the correct answer here. The dual store approach helps optimize for read performance.
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Mel
2 months ago
I'm not sure about option B, converting to a row-based format seems counterintuitive for a column-based storage system.
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Billy
1 months ago
Option B: Converting to a row-based format can actually slow down data retrieval in a column-based storage system.
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Giovanna
1 months ago
Option A: Column-based storage allows for faster data retrieval by only reading the columns needed for a query.
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Shawnna
2 months ago
I'm not sure, but I think C) Individual columns are read-optimized by writing into a main store and a delta store could also be a valid option.
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Ahmed
2 months ago
I agree with Pilar. Processing columns in parallel definitely speeds up data retrieval.
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Pilar
3 months ago
I think the answer is A) Individual columns can be processed at the same time by different CPU cores.
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Bettina
3 months ago
Option A sounds logical, as processing columns in parallel can definitely speed up data retrieval.
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Jules
2 months ago
I've noticed a significant improvement in query speed since we switched to using column-based storage in SAP HANA.
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Victor
2 months ago
That's right! It reduces the amount of data that needs to be scanned, leading to faster query performance.
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Malcolm
2 months ago
Yes, column-based storage allows for more efficient data compression and only reads the columns needed for a query.
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Shelton
3 months ago
Option A sounds logical, as processing columns in parallel can definitely speed up data retrieval.
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