I am developing an application to track performance metrics being pulled from a REST service, but I need to dynamically change the data being visualized based on user input. Is there a way I can automate the data being loaded into qlik sense?
I am new to qlik sense, so it might just be I cannot find the right documentation on this, even just a link could be helpful.
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I am trying to find out more informations about using the REST API in order to create a schedule for schema loading. Right now, I have to reload the particular schemas via my data server connections manually (click on every schema and Load Metadata) and would like to automate this process.
Any pointers will be much appreciated.
Thank you
If the metadata of your data warehouse is so in flux that you need to reload the metadata so frequently that you want to automate the process then you need to understand that your data warehouse is in no way ready for use.
So, the question becomes why would you want to frequently reload the metadata of a data source schema? I'm guessing that you are refreshing the data of your data base and, because your query cache has not expired, you are not seeing the new data.
So the answer is, you probably don't want to do what you think you need to do unless you can convince me otherwise.
Also, if you enter some obvious search terms you will find the Cognos analytics REST api documentation without too much difficulty.
I'm coding an application via nodejs that parses APIs to collect data and organize it. However, the need for systematic logging and display of differential logs has risen. The application needs to show users what changed with each consecutive state changes or within a specified time span. Is there any existing tool that would help me achieve that?
Recently Microsoft published the Microsoft Search API (beta) which provides the possibility to index external systems by creating an MS Graph search custom connector.
I created such a connector that was successful so far. I also pushed a few items to the index and in the MS admin center, I created a result type and a vertical. Now I'm able to find the regarded external items in the SharePoint Online modern search center in a dedicated tab belonging to the search vertical created before. So far so good.
But now I wonder:
How can I achieve that the external data is continuously pushed to the MS Search Index? (How can this be implemented? Is there any tutorial or a sample project? What is the underlying architecture?)
Is there a concept of Full / Incremental / Continuous Crawls for a Search Custom Connector at all? If so, how can I "hook" into a crawl in order to update changed data to the index?
Or do I have to implement it all on my own? And if so, what would be a suitable approach?
Thank you for trying out the connector APIs. I am glad to hear that you are able to get items into the index and see the results.
Regarding your questions, the logic for determining when to push items, and your crawl strategy is something that you need to implement on your own. There is no one best strategy per se, and it will depend on your data source and the type of access you have to that data. For example, do you get notifications every time the data changes? If not, how do you determine what data has changed? If none of that is possible, you might need to do a periodic full recrawl, but you will need to consider the size of your data set for ingestion.
We will look into ways to reduce the amount of code you have to write in the future, but right now, this is something you have to implement on your own.
-James
I recently implemented incremental crawling for Graph connectors using Azure functions. I created a timer triggered function that fetches the items updated in the data source since the time of the last function run and then updates the search index with the updated items.
I also wrote a blog post around this approach considering a SharePoint list as the data source. The entire source code can be found at https://github.com/aakashbhardwaj619/function-search-connector-crawler. Hope it would be useful.
I'm attempting to query our DATADOG hub and display some metric graphs. However, it appears the default way to do this is using an embed script generated by DATADOG and utilizing that in your app. I'm actually wanting to draw the graphs on my side, using their API data so I'm better able to control the size, look and flexibility of the graphs.
Is this something that is possible? Rather new to DATADOG and everything seems to be done in an iFrame, which I do not want.
Additionally, I found a package which I believe may be of use for Node?: http://brettlangdon.github.io/node-dogapi/#embed-create
D.D. Graphs Docs: http://docs.datadoghq.com/api/#graphs
Any advice would be greatly appreciated, I have not seen anything similar on S.O.
I think what you actually want is the metrics-query API endpoint? http://docs.datadoghq.com/api/#metrics-query
There are also a few Node.JS libraries that may be able to handle this kind of metric querying for you: http://docs.datadoghq.com/libraries/#community-node
I'm building some custom content types to capture customer data on a website. Admins will enter the data, users will be able to view it, but I also need to be able to bolt on some statistics and infographics to the data.
The problem I have is that I can't see any simple way of doing this within Drupal. Are there modules which can produce simple stats on selected node types or will I have to write a complete custom module using the data abstraction layer?
Thanks for any insights!
Yeah turns out if you want truly custom stats then the simplest thing is to build whatever you need in PHP using the data abstraction layer.
Plug into the DB via Drupal and do whatever you need to do...