You are designing an Azure Data Lake managed cluster for your organization's realtime data processing. The streaming data could range from 10 MB to 100 GB per message. You need to choose the correct…

The correct answer is A. Block Blobs. You should use Block Blobs because they are idea for real-time data processing and they can store up to 200GB per message (file). You should not use Page Blobs. Even though Page Blobs can store up to 1TB, they are not ideal for streaming (real-time) processing. Page Blobs are…

Implement Big Data real-time processing solutions

Question

You are designing an Azure Data Lake managed cluster for your organization's realtime data processing. The streaming data could range from 10 MB to 100 GB per message. You need to choose the correct storage model to store this data. Which storage model should you use?

Options

ABlock Blobs
BPage Blobs
CHBase
DAzure Storage Queues

How the community answered

(22 responses)

A
73% (16)
B
5% (1)
C
18% (4)
D
5% (1)

Explanation

You should use Block Blobs because they are idea for real-time data processing and they can store up to 200GB per message (file). You should not use Page Blobs. Even though Page Blobs can store up to 1TB, they are not ideal for streaming (real-time) processing. Page Blobs are ideal for random data access rather than serial access to parts of data. You should not use Azure Storage Queues. Azure Storage Queues have a maximum size of 64 You should not use HBase. HBase is a NoSQL database. It cannot be used for the data size mentioned in the question.

Topics

#Azure Data Lake#streaming data#Block Blobs#storage model

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