Published on July 18, 2017 by Mindspace

Time to start our project with the basics – We need to store our source data. Therefore, we have to understand AWS’ cloud storage S3, so let’s take a closer look at it in this video.

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Amazon S3: aws.amazon.com/s3/
Download the source files: academind.com/downloads/youtube/athena-introduction/source-files-athena.zip

Amazon S3 – Pricing: aws.amazon.com/s3/pricing/
AWS Free Usage Tier: aws.amazon.com/free/
Amazon S3 – Storage Classes: docs.aws.amazon.com/AmazonS3/latest/dev/storage-class-intro.html

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5 Comments on "AWS | Big Data | Athena Project | S3 Cloud Storage"

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Phillip Mwaniki
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Phillip Mwaniki
11 months 29 days ago

Out of topic: You sound just like Max but without the bass.

Academind
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Academind
11 months 29 days ago

Never heard that before to be honest Phillip, but I'll take it as a compliment 😉

Julien-Robert Lecadou
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Julien-Robert Lecadou
11 months 29 days ago

Athena is very limited. It is prone to errors. It is not also easy to query. yes for the basic workload it is easy, but you start working with huge amount of data not well structured, you face some issues. For example it is not possible to remove the headers of the cvs file you are importing from s3 . It has lots of potential especially if they integrate more apache hive and presto

Julien-Robert Lecadou
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Julien-Robert Lecadou
11 months 29 days ago

Yes, It has. I am using it myself because it is a cheaper option to run hive in the cloud.

Academind
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Academind
11 months 29 days ago

I generally agree on what you write Julien, thanks for your comment. I'll also talk about the limitation with the headers you mention in the next video on Friday. But as Athena is still a rather new service, I am positive about new features being added in the future. Still, I think it's worth creating that small project, because besides the limitations it already has some great capabilities in my opinion 🙂

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