Amazon Athena makes it easy to research knowledge with out having to arrange and handle knowledge processing infrastructure. Nevertheless, historically, you wanted to arrange an Amazon Easy Storage Service (Amazon S3) bucket to retailer question outcomes earlier than they might run queries with Athena. The necessity arose to make it even easier to start out utilizing Athena, with fewer setup steps.
That’s why we’re thrilled to introduce managed question outcomes, a brand new Athena characteristic that robotically shops, secures, and manages the lifecycle of question consequence knowledge for you at no extra price. Managed question outcomes simplifies your consumer expertise by eradicating the necessity to create or select an S3 bucket in your account to carry outcomes earlier than you run queries. It helps cut back your month-to-month price by shifting momentary storage of question outcomes out of your S3 bucket to Athena, and eliminates the necessity for separate processes to delete question consequence knowledge out of your S3 bucket after it’s not wanted. Now, Athena gives each service managed, momentary consequence storage and buyer managed Amazon S3 storage choices to fulfill totally different wants.
What’s extra, utilizing managed question outcomes doesn’t require complicated adjustments to purposes that learn question outcomes from present Athena interfaces, and will increase knowledge safety. Entry to managed question consequence knowledge is now related to AWS Identification and Entry Administration (IAM) permissions scoped to particular person Athena workgroups, as a substitute of S3 buckets. Moreover, you may robotically encrypt consequence knowledge with AWS Key Administration Service (AWS KMS) utilizing AWS owned or buyer managed keys.
On this publish, we reveal tips on how to get began with managed question outcomes and, by eradicating the undifferentiated effort spent on question consequence administration, how Athena helps you get insights out of your knowledge in fewer steps than earlier than.
Answer overview
Whenever you use managed question outcomes, you not have to create and select S3 buckets to retailer question outcomes, or handle lifecycle guidelines to ensure the consequence knowledge is finally cleaned up. The next are some situations the place that is useful:
- Monetary analysts working in groups analyzing market knowledge, every overlaying totally different funding areas or monetary devices, may use totally different workgroups for various sorts of analyses or initiatives. Now, analysts don’t have to spend time establishing S3 buckets or fear about cleansing up question outcomes when their work is completed.
- Compliance groups can run audit queries on transaction knowledge for regulatory reporting whereas ensuring solely licensed workforce members can entry delicate question outcomes by way of IAM permissions. As a result of question outcomes are cleaned up robotically, the compliance workforce not requires separate processes to delete question consequence knowledge.
- Knowledge and analytics and platform automation groups who’re liable for streamlined onboarding of recent customers and groups not have to configure particular person S3 buckets and permissions for various customers and groups, simplifying their automation code.
The next are a few of the key options of managed question leads to Athena:
- It removes the necessity to decide on an S3 bucket location earlier than you run queries.
- There is no such thing as a extra price to retailer your question outcomes, and question outcomes are robotically deleted after a time period, lowering administration overhead from separate bucket cleanup processes.
- It’s simple to get began: new and preexisting workgroups might be seamlessly configured to make use of managed question outcomes. You possibly can have a mixture of Athena managed and buyer managed question leads to your AWS account.
- You need to use streamlined IAM permissions with entry to learn outcomes utilizing
GetQueryResultsandGetQueryResultsStreamtied to particular person workgroups. - Question outcomes are robotically encrypted together with your selection of AWS owned or buyer managed KMS keys.
Let’s stroll by way of tips on how to get began with managed question outcomes.
Configure your workgroup
Full the next steps to configure your workgroup:
- On the Athena console, select Workgroups within the navigation pane.
- Select Create workgroup.
Alternatively, you may choose an present workgroup and select Edit.
- For Question consequence configuration, choose Athena managed.
- Navigate to the Athena console. To create a brand new workgroup, within the Workgroups web page choose the Create Workgroup button. To edit an present workgroup, choose a workgroup from the checklist and within the workgroup element web page, choose the Edit button. Underneath Question consequence configuration part, you will note the choice for Athena managed:
- For Encrypt question outcomes, select your most popular encryption technique
Determine 1: Question consequence configuration
Step 2: Configure Encryption
Select your most popular encryption technique for question outcomes:
-
- Encrypt utilizing an AWS owned key – That is the default choice. It signifies that you really want question outcomes to be encrypted and decrypted by an AWS owned key.
- Encrypt utilizing a buyer managed key – Select this selection if you wish to encrypt and decrypt question outcomes with your personal key. To have Athena use your buyer managed key, specify the Athena service within the
Principalparts of the important thing coverage. For extra info, see Setup an AWS KMS key coverage for managed storage. To run queries, the consumer querying knowledge wants permission to entry your key.
Question your knowledge
After you’ve configured your workgroup for managed question outcomes, you may instantly begin working queries. Let’s run a pattern question in opposition to the AWS Price and Utilization Report.
The Athena console banner signifies that our workgroup, demo-workgroup, was up to date to make use of managed question outcomes. Our question ran efficiently, and we didn’t have to arrange an S3 bucket. To obtain these outcomes, select Obtain outcomes CSV.
Determine 2: Working a question in opposition to the Price and Utilization report within the Athena console
You possibly can entry these outcomes by way of the Athena console and utilizing the Athena APIs.
Determine 3: Accessing the question outcomes by way of the Athena API
Conclusion
On this publish, we launched managed question outcomes, a brand new Athena characteristic that streamlines the question expertise by way of automated storage of question outcomes, supplies computerized cleanup, and limits question consequence entry with IAM permissions. Managed question outcomes reduces operational overhead, empowering each knowledge analysts working interactive queries and groups constructing complicated analytics pipelines to concentrate on deriving insights relatively than managing infrastructure. We demonstrated tips on how to configure workgroups for managed storage and successfully use this characteristic in question situations.
To start out utilizing managed question outcomes with Athena, merely configure your workgroups by way of the Athena console or APIs. For extra info, see Managed question outcomes.
In regards to the Authors
Man Bachar is a Sr. Options Architect at AWS. He focuses on aiding capital markets and FinTech clients with their cloud transformation journeys. His experience encompasses id administration, safety, and unified communication.
Sayan Chakraborty is a Sr. Options Architect at AWS. He helps massive enterprises construct safe, scalable, and performant options on AWS. With a background in enterprise and know-how structure, he has expertise delivering large-scale digital transformation applications throughout a variety of trade verticals.
Darshit Thakkar is a Technical Product Supervisor at AWS and works out of Boston, Massachusetts. He works intently with clients to grasp how they use knowledge, and drives product improvements that make knowledge extra actionable at scale.
