Is it possible to export my AWS QuickSight data programmatically?
Basically I have my data in AWS QuickSight which I need to extract so I can import it into a third party application. Manually this is easy through the "export" link on QuickSight. But I was wondering if there was a way to do this automatically? Through an API / third party connector / etc?
I am familiar with QuickSight docs and I have not seen a way to export data programmatically inside QuickSight.
There might be a third party connector. Nonetheless, more than often, your QuickSight data source should be easier to access programmatically.
Unless there is a strong reason to use QuickSight export, I will access the data source directly.
Related
Is there any way to auto-detect or notify when a new table is created in bigquery? Based on that I want to trigger a rundeck job.
The easiest way to do this is to utilize event arc and cloud functions v2. There is actually a pretty decent repository outlining this approach here:
https://github.com/GoogleCloudPlatform/eventarc-samples/tree/main/bigquery-jobs-notifier/gcf
As a note, cloud functions are not the only way, you could also do this via cloud run or other compute options.
I need to remove a certain Amazon QuickSight user but before that I need to get a list of any resources they may own. Any suggestions on how that can be done?
Thank you!
I'm also looking for how to do this. I've found that you can use search_* functions in the boto3 library to find analyses and dashboards.
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/quicksight.html#QuickSight.Client.search_analyses
All environments are in the same tenant, same Azure Active Directory.
Need to push data from one environment's (Line of Business) Common Data Service to another environment's Common Data Service (Central Enterprise CDS) where reporting is running from.
I've looked into using OData Dataflows, however this seems like more of a manually triggered option.
OData dataflows is meant for and designed to support migration and synchronization of large datasets in Common Data Service during such scenarios:
A one-time cross-environment or cross-tenant migration is needed (for
example, geo-migration).
A developer needs to update an app that is being used in production.
Test data is needed in their development environment to easily build
out changes.
Reference: Migrate data between Common Data Service environments using the dataflows OData connector
For continuous data synchronization, use the CDS connector in Power Automate and attribute filters for source CDS record updates to target CDS entities.
I am very new to Hadoop tools. So I am asking this doubt. I am using sqoop to push data from my relational DB to HDFS. Now as a next step I want to generate some reports using this data which is stored in HDFS. I have my own custom reports format.
I am aware that using HIVE I can get data from HDFS. but is it possible that I can design my own custom reports(Web UI) over this? is there any other tools I can use?
Else, is it possible to deploy an application( containing HTML GUI and java API's) on same machine and I can access it via HTTP and can see data present in HDFS?
You can use Tableau for better experience though it is paid but is the best in market,you can even customize your graph or report using tableau.You can get trial version of tableau from their site. You can use PowerBI from Microsoft which free and works well with Big data. Ambrose is created by twitter which is also having good support(I dind't tried this one).
Check Ambrose as this is what your are looking for. You can access it via HTTP url.
I need to set up a repository where multiple people can go to drop off excel and csv files. I need a secure environment that has access control so customers logging on to drop off their own data can't see another customers data. So if person A logs on to drop a word document they can't see person B's excel sheet. I have an AWS account and would prefer to use S3 for this. I originally planned to setup an SFTP server on an EC2 server however, I feel that using S3 would be more scalable and safer after doing some research. However, I've never used S3 before nor have I seen it in a production environment. So my question really comes down to this does S3 provide a user interface that allows multiple people to drop files off similar to that of an FTP server? And can I create access control so people can't see other peoples data?
Here are the developer resources for S3
https://aws.amazon.com/developertools/Amazon-S3
Here are some pre-built widgets
http://codecanyon.net/search?utf8=%E2%9C%93&term=s3+bucket
Let us know your angle as we can provide other ideas knowing more about your requirements
Yes. It does, you can actually control access to your resources using IAM users and roles.
http://aws.amazon.com/iam/
You can allow privileges to parts of an S3 bucket say depending on the user or role for example:
mybucket/user1
mybucket/user2
mybucket/development
could all have different permissions.
Hope this helps.