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A retailer's enterprise data organization is exploring the use of Data Vault 2.0 to model its data lake solution. A Snowflake Architect has been asked to provide recommendations for using Data Vault 2.0 on Snowflake.
What should the Architect tell the data organization? (Select TWO).
Suggested Answer: A, C
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Data Vault 2.0 on Snowflake supports the HASH_DIFF concept for change data capture, which is a method to detect changes in the data by comparing the hash values of the records. Additionally, Snowflake's multi-table insert feature allows for the loading of multiple PIT tables in parallel from a single join query, which can significantly streamline the data loading process and improve performance1.
Reference =
* Snowflake's documentation on multi-table inserts1
* Blog post on optimizing Data Vault architecture on Snowflake2
28 comments · newest first
BR
Brinda
11 months ago
E seems a bit off, I haven't faced those performance issues.
DE
Devorah
11 months ago
C sounds right, parallel loading is a game changer!
AR
Arminda
11 months ago
Wait, I thought PIT tables could only be loaded sequentially?
LI
Lindsey
11 months ago
I disagree, I think B is the right one for CDC.
JA
Jame
11 months ago
A is definitely true, HASH_DIFF is key for CDC!
DA
Daryl
12 months ago
I’m pretty confident that the HASH_DELTA concept is the one used for change data capture, but I might be mixing it up with HASH_DIFF.
TA
Tamekia
12 months ago
I have a vague memory that using the multi-table insert feature might have performance issues when loading PIT tables in parallel. I hope that’s relevant here.
CO
Cordelia
12 months ago
I think we practiced a question similar to this where we discussed the multi-table insert feature in Snowflake. I feel like it can load PIT tables in parallel, but I can't recall the exact details.
HE
Helaine
1 year ago
I remember something about HASH_DIFF and HASH_DELTA, but I'm not entirely sure which one is the correct term for change data capture in Data Vault 2.0.
KA
Karina
1 year ago
This question covers a lot of ground - Data Vault 2.0, Snowflake capabilities, change data capture, and PIT table loading. I'll need to carefully review each of the answer options and make sure I understand the nuances before selecting my final answers.
LI
Lizette
1 year ago
I'm a little concerned about the potential performance challenges when loading multiple PIT tables in parallel. I'll need to think through the tradeoffs and consider whether a sequential approach might be better in some cases.
TE
Tequila
1 year ago
The multi-table insert feature in Snowflake sounds really useful for loading multiple PIT tables in parallel. I'll make sure to remember that as a potential optimization strategy when working with Data Vault 2.0 on Snowflake.
BI
Billye
1 year ago
Hmm, I'm a bit unsure about the difference between the HASH_DIFF and HASH_DELTA concepts in Data Vault 2.0. I'll need to review those details to make sure I understand which one is used for change data capture.
FE
Fernanda
1 year ago
This question seems straightforward - it's asking about the capabilities of Data Vault 2.0 and Snowflake for handling change data capture and loading Point-in-Time tables. I think I have a good handle on the key concepts here.
LI
Linette
1 year ago
Okay, I think I've got a handle on this. I'll create the hosts.j2 template with the necessary Jinja2 logic to iterate over the inventory and generate the host entries. Then, in the gen_hosts.yml playbook, I'll use the template module to create the /etc/myhosts file on the hosts in the "dev" group.
KR
Kristin
1 year ago
I'm pretty sure it's when the Opened for person is selected, but I'll double-check the options just to be sure.
SH
Shelba
1 year ago
Okay, let's see. I know selecting the request or request set is definitely one of the elements. The other two... I'm going to have to read through the options carefully.
MA
Mayra
2 years ago
'E' mentions performance challenges. Seems less likely. I'm going with 'A' and 'C'.
MA
Malissa
2 years ago
Hmm, 'C' could be right. But what about 'E'? Any thoughts?
LA
Laila
2 years ago
I think 'C' makes sense. Snowflake supports parallel loading with multi-table inserts.
BE
Bernadine
2 years ago
Agree on 'A'. Not sure about the other one though.
PE
Peggie
2 years ago
Yeah, it's tough. I think 'A' is correct. HASH_DIFF is for change data capture, right?
MA
Mayra
2 years ago
I'm finding question 2 quite challenging. What do you think?
DE
Deja
2 years ago
The Architect should mention that using the multi-table insert feature in Snowflake, multiple PIT tables can be loaded in parallel from a single join query from the data vault.
LI
Lizette
2 years ago
That's a good point. And what about loading Point-in-Time tables?
DE
Deja
3 years ago
The Architect should tell them that change data capture can be performed using the Data Vault 2.0 HASH_DIFF concept.
LI
Lizette
3 years ago
Yes, they should definitely consider using Data Vault 2.0. But what about change data capture?
DE
Deja
3 years ago
I think the Architect should recommend using Data Vault 2.0 on Snowflake for the retailer's data lake solution.