I need to send data from snowflake to neo4j whenever newly transformed data is available in a snowflake table. What is the best way to do this?
I am thinking of using snowalert to notify an updater service which will then pull new data from the snowflake table and push it to neo4j. Is there a better solution to this problem?
You can use a combination of methods from APOC library to load data from Snowflake to neo4j directly.
https://neo4j.com/labs/apoc/4.3/overview/apoc.periodic/apoc.periodic.repeat/
https://neo4j.com/labs/apoc/4.3/overview/apoc.periodic/apoc.periodic.iterate/
https://neo4j.com/labs/apoc/4.3/overview/apoc.load/apoc.load.jdbc/
Related
I don't know why but I can not see the stored procedures appear when I connect the database to Tableau (I use MariaDB). I can only see the data tables.
Anyone has the same problems with me? I am a newbie so I am not sure if my description is clear or not.
Use the stored procedures.
I found that Tableau does not connect to stored processes and that one way around this is that when you connect to your server, you should use the initial query function. Once you log in, grab Custom SQL and for that script simply use
select * from #nameoftemptable
and Execute.
I'm working on fluentd setup in kubernetes. In kubernetes I have a number of applications which are writing some logs into stdout. I can filter, parse, and send logs to azure blob storage. But I want the logs from blob storage to be ingested into azure data explorer cluster. In data explorer cluster I have a database and table which has some schema defined, already. The question is how do I modify event from fluentd in such a way that it's going to meet the table schema? Is it possible at all? Maybe there are some alternative ways of creating such setup?
Take a look at ingestion mappings, you can pick the properties that you care about and route them to the applicable columns and when a new property arrives you can change the mapping and the table schema will automatically be updated.
Yes it is possible to do this. You can ingest data stored in your blob to a custom table on azure data explorer. Refer this link
https://learn.microsoft.com/en-us/azure/data-explorer/ingest-json-formats?tabs=kusto-query-language#ingest-mapped-json-records
The below is an example where i ingest a JSON document stored in blob to a table in ADX
.ingest into table Events ('https://kustosamplefiles.blob.core.windows.net/jsonsamplefiles/simple.json') with '{"format":"json", "ingestionMappingReference":"FlatEventMapping"}'
If the schema is difficult to parse, i would recomment to ingest first to a raw table(Source Table). Then you can have a update policy to move this data into different tables after parsing. You can check this link to understand about Update policy
Consider using the ability to listen on blobs landing in storage using the event grid mechanism. Check out https://learn.microsoft.com/en-us/azure/data-explorer/ingest-data-event-grid-overview
I have requirement like source data is available at 1010database and I need to extract the same to SQL server table.
Can you please let me know the how to connect 1010database to extract the data from SSIS.
Thanks in advance....
If you're trying to migrate data out of 1010data into an SSIS workflow you're going to want to use 1010data's ODBC driver (documentation here)
If you're trying to migrate data from an SSIS workflow into 1010data you'll want to use tenup (documentation here)
I am facing an issue in Sybase IQ.I have a requirement to identify tables/views under a given view, recursively. I am trying to make use of sysdependencies. What are the options to do this?
I have a website which useses a mysql database for its whole operation . But for a new requirement i need to query a external oracle database( used by other component) and compile a list of items and display in a page in the website. How is it possible to connect to a external database just for rendering a single page.
And is it possible to cache the queried result for say 1 month before invalidating the cache and get the updated list of items. i dont want query the external oracle db for each request.
Why not a monthly job that just copies the data from the Oracle database into the MySQL database ?
As stated by Myers, a simple solution is to accept a data feed. For example, a cron job could pull data from the Oracle database at defined intervals, say daily or weekly, and then insert the data into your web application's local MySQL database. The whole process could be essentially transparent to your web application. The caching interval, or how long you go between feeds, would be up to you.
I'll also point out that this could be an opportunity for an API that would more readily support sharing of data between applications. This would, of course, be more work than a simple data feed, but has the possibility of being more useful to more people.