Building Trust in Data: Why Governance Matters More Than EverData has become the heartbeat of every organisation, driving decisions, shaping strategies, and fuelling innovation.Yet, even in data-rich companies, there’s a quiet problem that every lead...
Can anyone provide steps for the migration steps
Can anyone share high level steps to migrate from Oracle container DB 19c to Azure Databricks
Hello,I'm encountering an issue while installing UCX Assessment via an automation script in Databricks. When running the script, I get the following error:13:38:06 WARNING [databricks.labs.ucx.hive_metastore.tables] {listing_tables_0} failed-table-c...
The error occurs because the automation script explicitly sets WORKSPACE_GROUPS="<ALL>" and DATABASES="<ALL>", which the UCX installer interprets literally as a schema called "ALL"—instead of using the special meaning that the manual prompt does when...
Hi Databricks & Team, Spark Cluster: 16.3Being a databricks partner I am unable to raise a support ticket, hence am positing this here. pyspark is good in rendering multiple results in a single cell. refer screenshot below (Screenshot 1)However, SPAR...
Databricks notebooks currently support multiple outputs per cell in Python (pyspark) but do not provide the same behavior for SQL cells. When running several SQL statements in a single notebook cell, Databricks will only render the output from the la...
Hello all,I'm developing a python code that it is packaged as a wheel and installed inside a docker image. However, since this program requires numpy >= 2.0 I'm forced to use the runtime 16.4-LTS.When I try to run it as a workflow on databricks I'm e...
Databricks Runtime 16.4-LTS introduced some changes that affect workflow configuration, environment management, and, notably, support for Python third-party libraries like NumPy. The main issue you’re encountering with NumPy >= 2.0 in Databricks work...
Databricks provides excellent documentation. But in some rare cases I found it could have been improved. For example in the documentation for Data Profiling requirements (https://docs.databricks.com/aws/en/data-quality-monitoring/data-profiling/#requ...
@Charuvil, you can send the feedback to the Databricks team via email link below: Send us feedback
I can find documentation to enable automatic liquid clustering with SQL code: CLUSTER BY AUTO. But how do I do this with Pyspark? I know I can do it with spark.sql("ALTER TABLE CLUSTER BY AUTO") but ideally I want to pass it as an .option().Thanks in...
This is supported now for DBR 16.4+ for both DataframeWriterV1 and DataframeWriterV2 APIs, and also for DLT, and DataStreaming APIs. More details are here: https://docs.databricks.com/aws/en/delta/clustering . Basically using the option, `.option("cl...
I only see dashboard under the header SQL on the left menu, but I expected a header data. Got the feeling that under SQL, the dashboard lacks functionality.Best regards,Stefaan
@Neirynck I'd HIGHLY recommend checking out Databricks' Youtube channel or Demo Center when you're exploring part of the product. I'll link them below. @Neirynck as for your question, here's a video on AI/BI that actually sold Databricks to me: https...
Hi all, I collaborate with a Databricks partner, and we've started organizing in-person Meetups in the states. We want to arrange another one, possibly in December or late January. Where do you think most people will be interested in joining? It's fr...
I have one issue . I have created delta table and vector search index from the delta table. For a particular query if I am doing similarity search then sometimes I am getting the documents and sometimes I am not getting any documents. For example# qu...
This inconsistent behavior in your Delta Table and vector search index is a common issue with semantic vector searches, especially when working with diverse or structured data like Excel file contents. There are several likely causes for why your sim...
Databricks has a free version (called Community Edition) and a paid version. What are the main differences between them, and what things can’t I do in the free version that I can do in the paid one?
Hi @Suheb .The Free Edition is intended for students, hobbyists, and aspiring data and AI professionals. It is not intended for commercial use. In addition, the Free Edition is subject to the following limitations:Databricks Free Edition limitations ...
I ran the following queries for a specific warehouse_id = '54a93d2138433216' SELECT * FROM system.billing.usage WHERE usage_metadata.warehouse_id = '54a93d2138433216';SELECT * FROM system.compute.warehouse_events WHERE warehouse_id = '54a93d213843321...
Hello @Danish1105! This post duplicates a recent post you shared. A response has already been provided there. Please continue the discussion in that thread to keep the conversation organized.
How can I upload a data file (like a CSV, Excel, or JSON file) from my computer into Databricks so I can start analyzing it there?
For large size relational Databases like from Oracle how can we move to Azure databricks. Non-unity catalog to unity catalog?
When you create notebooks or jobs in Databricks, how does Databricks keep track of different versions or changes? And what should beginners do to manage versions safely and effectively?
Hi @Suheb,That’s a great question, version control is one of the most important things to get right early on.As a best practice, you should never run notebooks directly in production. Instead, notebooks should be treated as development assets, once v...
How to connect to azure databricks using sqlalchemy asynchronously
Databricks SQL Connector is fundamentally synchronous - it doesn't have native async/await support. This creates an inherent mismatch when you want to use it in an async Python application. Why This Matters When you make a database query ...
