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Assuming you have these pre-requisites: A private S3 bucket (e.g., s3://my-private-bucket/data/file.csv)An IAM user or role with access (list/get) to that bucketThe AWS Access Key ID and Secret Access Key (client and secret)The most straightforward w...

The Truecaller app mod improves call management, while Databricks with Terraform (condition_task) helps automate cloud infrastructure efficiently.

Boto3 with Access/Secret Key worked. I will try the Service Credentials.  If Databricks Documentation is right, Instance Profiles with Serverless should work to establish Boto3 connection, but, unfortunately, setting up instance profiles on Serverles...

Additionally, you can check the following documentation and links that I found, which may help you:1) To view the available Python versions and guidance on using a virtual environment (virtualenv or conda):https://www.piwheels.org/project/databricks-...

I am not sure if I fully understand how your data pipeline is setup, but have you considered incremental data loading say using something similar to "COPY INTO" method which would only read your incremental load, and then apply a 90 day filter on top...

I’m only aware of the Databricks Learning Festival, which typically offers a 50% discount voucher for certification, rather than a full-voucher.I couldn’t find any official confirmation of a 100% free voucher for an “Advanced Data Engineering” event ...

The easiest and most reliable way to generate embeddings for millions of rows is to let Databricks Vector Search compute them automatically during synchronization from a Delta table.Vector Search can generate embeddings for you, keep them updated whe...

No, you don’t need to set those on DBR 7.3 and above.From 7.3+ Databricks already uses the newer Hadoop S3A connector by default, so those com.databricks.s3a.S3AFileSystem settings are not part of the default config and shouldn’t be added.If they are...

Hi Surya, Do you face this issue only with DBR 17.3 all-purpose clusters? Did you try with lower DBRs? If not, please try and let me know. Also, from the Run menu, try “Clear state and outputs,” then re‑run the cell on the same cluster to rule out st...

Databricks does not currently allow you to default to "execution_count": null (or "none") when stripping notebook outputs during a commit. The platform sets "execution_count": 0 as the default when outputs are stripped through their Git integration, ...

To install libraries in the normal (paid) version of Databricks, use the cluster management interface to add libraries to your compute resources. The process is similar to the Community Edition, but workspace policies and cluster access mode may rest...

To write an ObjectId value using Spark Mongo Connector 10.2.2 in PySpark while updating records, you must convert the ObjectId string into a special format. The Spark Mongo Connector does not automatically recognize a string as an ObjectId; it will o...

You are seeing inflated cost numbers because your query groups by many columns—especially run_id, task_key, usage_start_time, and usage_end_time—without addressing possible duplicate row entries that arise from your joins, especially with the system....