Databricks Community

Tested in my environments and it is not possible indeed to get results despite being executed correctly in SQL Warehouses. I tried with multiple options but no luck. However, as a workaround, I would recommend to replace or partially replace part of ...

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.

Hey @kahrees , Good Day! I tested this internally, and I was able to reproduce the issue. Screenshot below:   You’re getting [DATA_SOURCE_NOT_FOUND] ... mongodb because the MongoDB Spark connector jar isn’t actually on your cluster’s classpath. On D...

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-...

MERGE is not a pure read plus filter operationEven though Liquid Clustering organizes your data by key ranges and writes min/max stats, the MERGE engine has to identify both matches and non-matches.That means the query planner must:Scan all candidate...

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...

Lakebridge doesn’t copy data. It covers Assessment → Conversion (Analyzer/Converter) → Reconciliation.The fastest way is to use Lakehouse Federation. Create a Snowflake connection in Unity Catalog and run federated queries from Databricks. For perman...

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...