Rest API parameters - api

I am trying to get data from a Rest API using Excel's Power Query or Power BI.
According to the developer portal a string parameter ID is required. However, I don't want to extract data or only on (in this case) purchase. I want to extract a whole list of purchases. Furthermore, I don't know the ID -it's a very long difficult to understand ID [Eg. 75e5cff4-103f-43d9-8d46-3835d96b49cf]
How can I write a code to extract all data even if I don't know the ID's?
I've tried using *'s but it doesn't work

Related

Extracting and loading data from a rest API whit data factory automatically whenever there is a new report ID

I am aiming to create a service combining Azure Data Factory and Azure Databricks where one or several reports are extracted and stored from a Rest API (swagger). I have managed to obtain the data of the reports maually using each individual ID using copy data from rest API. However, I'd like to obtain all the reports that share the same name, and whenever there is a new one (new ID) automatically extract it and store it.
I asume that dynamizing this, could be done by querying the IDs for that specific name with a periodic trigger and if eventually there is a new one, the data would be queried by using the updated list of IDs obtained. However I can't get my mind around how to use this list as parameters I have neither found a function that could do this.
I have also tried to use Azure functions, but I am not sure if it would cover this need and I gave up as I did struggle in the config.
Could I get some help please?
Thanks in advance!
Santiago

How to generate a RowPointer that works with Infor's Syteline software's SQL database

We currently use Infor Syteline to manage our manufacturing and customer information. I am working on an alternative front end (vb.net) software that would work seamlessly with our Syteline software to add custom document generation and other functions to a SQL database and the only problem I am running into is with generating RowPointers that Syteline uses. Example of one of these pointers is below:
F5025224-046D-40DC-95F6-C517303A0D26
Can someone fill me in on what these pointers do, how I can replicate them, and why standard ID's aren't used to reference rows? The goal is to be able to add entries into the SQL database that are identical to those created by Syteline so that both softwares can be used to manage customer data, production data, etc.
Thanks
You can generate them with select newid(). They are always unique, so you can use them to filter on 1 specific row. They will never have a duplicate.
Not sure what you mean by standard ID.

SESSION_USER equivalent from Big Query in Data Studio reports

We are creating dashboards for clients using data studio.
Each client should see their data in the dashboard, based on their login credentials. It is simple to create an authorized_view in Big Query to let certain users see certain rows of an underlying shared table. But how would one achieve to then move this into a dashboard which can be shared with each client, yet show only the individuals client in the dashboard instead of the data that was visible to the report creator?
So let's say we have a large table with a bunch of columns and one column email which contains the email of users. Now, we want the dashboard to show metrics for each user based on this email column.
On DataStudio in the datasource schema review step, make sure the flag USING VIEWER’S CREDENTIALS is on. By turning it on, the query when being executed will use the viewer’s credential instead of the owner who created the report.
After you finish create proper visualization on Data Studio, final step is to share the report to eg: store managers using the share option of Data Studio which is similar to share a Google Docs. You can confidently share it with the whole organization or with the email group of eg: store managers, permission already be controlled at data level.
Read more about this topic here.

Search to Compare and generate a new table result

In need of finding a way to search to compare and generate a communication-relation table which apparently seem to involve some complex logic.
I have a table with two columns where one lists the servers and the other shows the list of different servers that it communicates with (how it communicates is out of the scope of requirement).
Need to search for different servers that apparently communicate with one another in one or the other way. The sample image added here will explain the source and expected result tables.
Please let me know if and/or how this could be achieved in SQL Server or Splunk.

How can I customize a data set for Google BigQuery? Can I export a file? How do I test it to see if it meets my needs?

I would like to improve the quality of existing data by using the Google BigQuery API to help validate the accuracy of existing data.
I dont see information on the types of data elements contained in the BigQuery and dont understand how to use an API if I just want to see what types of data are contained in there.
I tried looking for instructions and data elements in the Google Health Care API and Google BigQuery documentation and only saw how to set up a payment option.
I am a newbie at programming and wanted to do some preliminary research on these data sets prior to bringing them to our technical team.
I expect to see a list of relevant results based on a custom query.
You can see the data types supported
by Google BigQuery here and the conversion between different types here.
Also you can try out the BigQuery APIs in the OAuthPlayGround.