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Resolved! Mapping Control data - Maintained by Business User
We are ingesting our data from ADLS into databricks as delta table. After raw layer we need to refer to a control\mapping layer which defines certain logic\measure definition. This would be incorporated in the subsequent silver or gold layer. This co...
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Thanks for your response. Can business user without the help of any script modify any rows in the table after loading it onetime from CSV fiels?
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Databricks Roadmap Azure There are a lot of excitement new features coming in 2022. I tried to put them all on one list: Unity catalog (seems that it ...
Databricks Roadmap AzureThere are a lot of excitement new features coming in 2022. I tried to put them all on one list:Unity catalog (seems that it will exists next to hive metastore and it will be possible to migrate)Control metastore, unity creatio...
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Hi @Hubert Dudek​ , We know the world is full of choices. Thank you for choosing us! We would like to thank excellent customers like you for your support. We couldn’t do it without you!
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- 1852 Views
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Here are the supported data types for the Feature Store:https://docs.databricks.com/applications/machine-learning/feature-store/feature-tables.html#supported-data-typesAs you can see, image is not between them, but you could use BinaryType.
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2021-07-Webinar--Hassle-Free-Data-Ingestion-Social-1200x628
Thanks to everyone who joined the Hassle-Free Data Ingestion webinar. You can access the on-demand recording here. We're sharing a subset of the phenomenal questions asked and answered throughout the session. You'll find Ingestion Q&A listed first, f...
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Check out Part 2 of this Data Ingestion webinar to find out how to easily ingest semi-structured data at scale into your Delta Lake, including how to use Databricks Auto Loader to ingest JSON data into Delta Lake.
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- 1324 Views
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Not yet, but stay-tuned it's being cooked in the kitchen
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I can find a link which can help https://docs.databricks.com/dev-tools/databricks-connect.html
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Yes.Please refer to our docshttps://docs.databricks.com/applications/machine-learning/manage-model-lifecycle/multiple-workspaces.html
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- 882 Views
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What algorithms does Databricks AutoML use?
AutoML presumably tries a few different algorithms while hyperparameter searching. What model types are considered?
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At the moment, it's really just xgboost, and sklearn implemenations like random forests, logistic regression, and linear regression as applicable. More possibilities are coming.
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How can I use Non- Spark related libraries like spacy with Databricks and Spark
I have an NLP application that I build on my local machine using spacy and pandas, but now I would like to scale my application to a large production dataset and utilize the benefits of sparks distributed compute. How do I import and utilize a librar...
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It depends on what you mean, but if you're just trying to (say) tokenize and process data with spacy in parallel, then that's trivial. Write a 'pandas UDF' function that expresses how you want to transform data using spacy, in terms of a pandas DataF...
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- 1661 Views
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Muliple Where condition vs AND && in Pyspark
.where((col('state')==state) & (col('month')>startmonth)I can do the where conditions both ways. I think the one below add readability. Is there any other difference and which is the best?.where(col('state')==state).where(col('month')>startmonth)
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You can use explain to see what type of physical and logical plans are getting created . This is the best way to see difference , but as mentioned in the question , it should give the same physical plan
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What is Databricks' model deployment framework?
How do you do deploy a model in Databricks.
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The following resources provide more detail on this:Databricks model registry example notebook: https://docs.databricks.com/_static/notebooks/mlflow/mlflow-model-registry-example.htmlDatabricks model lifecycle - https://docs.databricks.com/applicatio...
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