we have FSV (Financial Statement Version) created in SAP. We would like to extract this into our Cloud Storage (Google Cloud/BigQuery). Is it possible?
Currently we only know how to retrieve the Journal entries with G/L accounts, Cost Centers etc, but cannot retrieve FSV data also with it. We are now managing the FSV hierarchy manually in google sheets, which needs to be updated each time there is a change in G/L accounts. Financial Statement Version
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I'm doing a small project that I don't know how-to connect IBM Watson with Django backend and even looking for the docs: I can't find examples, documentation or tutorials.
Basically, I want to create Jobs (Notebooks running) remotely, but I need to send an ID to each notebook because when I run a notebook I need to specify which file are going to process from Cloud Storage ("MY-PROJECT-COS"). The situation shown in the Figure below describes that.
The pipeline that I want to implement is like the Figure below. And this problem just stopped the whole project. I will really appreciate any suggestion, recommendations and solutions.
You should check the Watson Data APIs. Especially, Create a job and Start a run for a job API calls. Use the request body to pass the specific ID.
You can use a collection of Watson Data REST APIs associated with
Watson Studio and Watson Knowledge Catalog to manage data-related
assets and connections in analytics projects and catalogs on IBM Cloud
Pak for Data.
Catalog data Use the catalog and asset APIs to create catalogs to
administer your assets, associate properties with those assets, and
organize the users who use the assets. Assets can be notebooks or
connections to files, database sources, or data assets from a
connection.
Govern data Use the governance and workflows APIs to implement data
policies and a business glossary that fits to your organization to
control user access rights to assets and to uncover data quality and
data lineage.
Add and find data Use the discovery, search, and connections APIs to
add and find data within your projects and catalogs.
You can also access a local version of this API docs on each Cloud Pak
for Data installation:
https://{cpd_cluster_host}/data-api/api-explorer
Does Google Cloud Search (cloudsearch.google.com) natively search chat.google for GSuite users?
Google Cloud Search offers to search an array of 3rd party data sources, and does a nice job searching Mail, Drive, Sites, etc. but seemingly not Google Chat. This is agonizing as my company has gotten into the habit of putting most of our important updates and technical info in chat. I'm trying to unify everything that needs searching within the context of Google Cloud Search.
Can Google Chat be made Google Cloud Search-able with use of a data source connector? https://support.google.com/a/answer/7056471?hl=en&ref_topic=7056075
This might not be easy to develop if the chat data is treated as third party, because this option is only for org with larger than 500 accounts:
Your organization needs at least 500 licenses and a Cloud Search certified partner for trials and deployment of third-party data indexing.
(https://support.google.com/a/answer/11180370?hl=en)
And third party indexing seems to be required to use data sources
I have a simple, single collection in Firestore, a museum visitor name and date with some other fields.
I successfully ran a gcloud export:
gcloud beta firestore export gs://climatemuseumexhibition2019gov.appspot.com --collection-ids=visitors
and the collection is now sitting in a bucket in Cloud Storage.
I tried downloading the data, which appears to be in several chunks, but it's in .dms format and I have no idea what that is.
Also, I've successfully linked BigQuery to my firestore project but don't see the collection, and I don't see the Cloud Storage object at all.
I gather the idea is create a Dataset from the Cloud Storage, then create a Table from the dataset. I'd appreciate specific details on how to do that.
I've read the manuals and they are opaque on this topic, so I'd appreciate some first hand experience. Thank you.
I'm currently developing a solution that lets users create a parent listing whereby they can upload files, assign child listings to that and then search their listings based on data from both the parent and child listings.
As an example, think of it as an inventory database. You create your parent listing for say a product, give it a name and upload some images of it. You then create your child listings which would be the stores that stock your product.
Your search capabilities would allow the user to search the product by free text, but also using parameters from the child listings, for example Price, In Stock, Tags etc.
I've tried to develop a concept using Firebase for this which utilises Auth, Storage and Functions, however due to the search limitations of Firestore, it cannot be done.
MongoDB offers something similar to Firebase' functionality whereby I can use Atlas which gives me all the search capabilities I need using Mongo instead of Firestore. In addition, they also have Stitch which provides the Cloud Function, Trigger and Auth functionality I need.
What they don't offer however is any Storage solution.
Does anyone know a way I can use MongoDB Stitch Auth, alongside Firebase Storage to integrate directly with the UI using the Firebase Storage security rules?
I know I could create a Stitch Function that handles the passing of file from UI to Firebase, however I'd prefer to go direct if possible.
I have to create an RDBMS table on Google cloud that supports multilingual data. Do we have a service on google cloud for that? CloudSQL or CloudSpanner?
This is for storing movie titles data from different countries and do some querying on the data.
I expect that I can do queries on the data that is stored. For example: Do a DISTINCT on the movie titles and it should list all different movie titles from various countries (Ex: I have chinese movie titles, Russian movie titles).
In both Google Cloud SQL and Google Cloud Spanner you are able to store multilingual data and do queries with “DISTINCT” or something else. So, you choose the service that will serve your purpose in a better and more effective way.
Cloud SQL is a fully managed relation database service.
Cloud Spanner is a fully managed, scalable, relational database
service for regional and global application data.
You can find more information about the use cases of Cloud SQL and Cloud Spanner in Google’s documentation.