- 474 Views
- 1 replies
- 1 kudos
Creating links in embedded dashboards
I am curious what Databricks AI/BI's capabilities are in terms of linking out other dashboards in your dashboards. Can I create a text box that links out another dashboard? I noticed you can also create links in a pivot table. What will happen if I e...
- 474 Views
- 1 replies
- 1 kudos
- 1 kudos
You can add a text widget to the canvas to insert hyperlinks to any URL, including other dashboards.In pivot tables, you can define URL paths for cell values from the Actions tab to make them clickable.For navigation within a dashboard, use “drill th...
- 1 kudos
- 210 Views
- 1 replies
- 0 kudos
Attempting to Use VSCode Extension: Error: No sync destination found
Hello,I have the Databricks Extension + Databricks Connect Python module installed.I am connected to the target environment with a running cluster and I have all green checkmarks under the "Configuration" section.However, when testing a python file a...
- 210 Views
- 1 replies
- 0 kudos
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The error message "No sync destination found" when running your Python file in Databricks with the Extension and Databricks Connect module, even with all green configuration checkmarks, typically indicates a configuration issue with the sync destinat...
- 0 kudos
- 198 Views
- 2 replies
- 0 kudos
What’s the easiest way to clean and transform data using PySpark in Databricks?
You have some raw data (like messy Excel files, CSVs, or logs) and you want to prepare it for analysis — by removing errors, fixing missing values, changing formats, or combining columns — using PySpark (Python for Apache Spark) inside Databricks.
- 198 Views
- 2 replies
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The easiest way to clean and transform data using PySpark in Databricks is by leveraging the DataFrame API. Start by loading data into a Spark DataFrame with spark.read. Use built-in functions like dropna, fillna, and withColumn to handle missing val...
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- 296 Views
- 1 replies
- 0 kudos
How to Leverage Databricks for End-to-End AI Model Development
Hi everyone,I’m exploring how to use Databricks as a platform for end-to-end AI and machine learning model development, and I’d love to get insights from professionals and practitioners who have hands-on experience.Specifically, I’m curious about:Set...
- 296 Views
- 1 replies
- 0 kudos
- 0 kudos
You can leverage Databricks for end-to-end AI model development by using its Lakehouse Platform, which unifies data engineering, analytics, and machine learning in one workspace. Start by ingesting and transforming data using Apache Spark and Delta L...
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- 2562 Views
- 4 replies
- 2 kudos
Resolved! Try Databricks sign up failed
Hi, I am trying to use Databricks with the community edition. However, when I tried to create an account, the sign-up failed after I completed the puzzle.
- 2562 Views
- 4 replies
- 2 kudos
- 208 Views
- 1 replies
- 1 kudos
- 208 Views
- 1 replies
- 1 kudos
- 1 kudos
We are going to need a little more information to better help you. What is the scenario? Louis
- 1 kudos
- 281 Views
- 1 replies
- 1 kudos
Why keep both Azure OpenAI and Databricks?
Hi everyone,I’m curious to hear your thoughts on the benefits of having both Azure OpenAI and Azure Databricks within the same ecosystem.From what I can see, Databricks provides a strong foundation for data engineering, governance, and model lifecycl...
- 281 Views
- 1 replies
- 1 kudos
- 1 kudos
Two use case I can think of is RAG:Use Databricks for vector indexing (e.g., via Delta Lake or FAISS) and Azure OpenAI for inference.Example: A chatbot that queries Databricks-hosted documents and uses GPT-4 for response generation.Agentic Workflows:...
- 1 kudos
- 273 Views
- 2 replies
- 1 kudos
Resolved! Ingesting data from APIs Like Shopify (for orders), Meta Ads, Google Ads etc
Hi,I am and trying to create some table by calling APIs of Shopify/Meta Ads/Google Ads and so on. Where will I make the API call ? Is making API calls in Notebooks considered standard way to ingest in these cases. I intend to make a daily call to ge...
- 273 Views
- 2 replies
- 1 kudos
- 140 Views
- 0 replies
- 4 kudos
Databricks One
Databricks One is a user interface designed for business users, giving them a single, intuitive entry point to interact with data and AI in Azure Databricks, without needing to navigate technical concepts such as clusters, queries, models, or noteboo...
- 140 Views
- 0 replies
- 4 kudos
- 172 Views
- 0 replies
- 0 kudos
SQL warehouse: A materialized view is the simplest and cost-efficient way to transform your data
Materialized views running on SQL warehouse are super cost-efficient, and additionally, it is a really simple and powerful data engineering tool - just be sure that Enzyme updates it incrementally. Read more: - https://databrickster.medium.com/sql-wa...
- 172 Views
- 0 replies
- 0 kudos
- 201 Views
- 0 replies
- 2 kudos
The purpose of your All-Purpose Cluster
Small, hidden but useful cluster setting.You can set that no jobs are allowed on the all-purpose cluster.Or vice versa, you can set an all-purpose cluster that can be used only by jobs. read more: - https://databrickster.medium.com/purpose-for-your-...
- 201 Views
- 0 replies
- 2 kudos
- 258 Views
- 1 replies
- 1 kudos
How to Integrate Machine Learning Model Development with Databricks Workflows?
Hey everyone I’m currently exploring machine learning model development and I’m interested in understanding how to effectively integrate ML workflows within Databricks.Specifically, I’d like to hear from the community about:How do you structure ML pi...
- 258 Views
- 1 replies
- 1 kudos
- 1 kudos
You can integrate machine learning model development into Databricks Workflows pretty smoothly using the platform’s native tools. The main idea is to treat your ML lifecycle (data prep → training → evaluation → deployment) as a series of tasks within...
- 1 kudos
- 5434 Views
- 1 replies
- 0 kudos
Support for managed identity based authentication in python kafka client
We followed this document https://docs.databricks.com/aws/en/connect/streaming/kafka?language=Python#msk-aad to use Kafka client to read events from our event hub for a feature.As part of the SFI, the guidance is to move away from client secret and u...
- 5434 Views
- 1 replies
- 0 kudos
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Currently, Databricks does not support using Managed Identities directly for Kafka client authentication (e.g., MSK IAM or Event Hubs Kafka endpoint) in Python Structured Streaming connections. However, there is a supported and secure alternative tha...
- 0 kudos
- 3637 Views
- 2 replies
- 1 kudos
Resolved! Data bricks is not mounting with storage account giving java lang exception error 480
Hi Everyone,I am currently facing an issue with in our Test Environment where Data bricks is not able to mount with the storage account and we are using the same mount in other environments those are Dev,Preprod and Prod and it works fine there witho...
- 3637 Views
- 2 replies
- 1 kudos
- 1 kudos
This issue in your Test environment, where Databricks fails to mount an Azure Storage account with the error java.lang.Exception: 480, is most likely related to expired credentials or cached authentication tokens, even though the same configuration w...
- 1 kudos
- 2968 Views
- 2 replies
- 1 kudos
Cannot import editable installed module in notebook
Hi,I have the following directory structure:- mypkg/ - setup.py - mypkg/ - __init__.py - module.py - scripts/ - main # notebook From the `main` notebok I have a cell that runs:%pip install -e /path/to/mypkgThis command appears to succ...
- 2968 Views
- 2 replies
- 1 kudos
- 1 kudos
Hey @newenglander — always great to meet a fellow New Englander Could you share a bit more detail about your setup? For example, are you running on classic compute or serverless? And are you working in a customer workspace, or using Databricks Free ...
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