Here's your Data + AI Summit 2024 - Warehousing & Analytics recap as you use intelligent data warehousing to improve performance and increase your organization’s productivity with analytics, dashboards and insights. Keynote: Data Warehouse presente...
Databricks asset bundles, now in Public Preview, enable end-to-end data, analytics, and ML projects to be expressed as a collection of source files. This makes it simpler to apply data engineering best practices such as source control, code review, t...
Will a Databricks Asset Bunldes (DAB) implementation take place in the cloud (Browser - Workspace)?Personally, I work on a developer VM in a closed network where it is very difficult to install software (Databricks CLI) because it has to be requested...
I'm creating dashboard with multiple visualizations from a notebook.Whenever I add a new visualization, the default position in dashboard is top left which mess up all the format I did for previous graph. Is there a way to default add to the bottom o...
@shan_chandra I'm using Lakeview dashboard. In dbx notebook, there is Add to dashboard > button on the right of each visualization. It's super handy. Actually I have this issue solved.
Manual ApproachWe can Update SQL Warehouse manually in Databricks.Click SQL Warehouses in the sidebarIn Advanced optionsWe can find Unity Catalog toggle button there! While Updating Existing SQL Warehouse in Azure to enable unity catalog using terraf...
Hello Raphael,Thank you for the update and for looking into the feature request. I appreciate your efforts in following up on this matter.If possible, could you please provide me with any updates or insights you receive from the Terraform team regard...
We have been evaluating Databricks SQL and its capability to be used as DW. We are using Unity catalog in our implementation.There seems to be a functionality mismatch between Azure and AWS versions as where table rename is supported on Azure side, i...
This seems to be fixed now
Hi, I am a newbie. Can someone please help me with the below? Details for the latest failure: Error: Error code: QuotaExceeded, error message: Operation could not be completed as it results in exceeding approved standardEDSv4Family Cores quota. Addit...
Thanks for the information
HiI’m new to data modelling so could use some help.I’m building a personal project using a fairly standard 3NF sales database as the source data. So far I have a pipeline that incrementally extracts data from the source system each day into a Raw sto...
Thank you.From a high level it makes sense. It's the details I'm a bit unclear on. So when a single pipeline runs (let's say today - 10/05/2024) for your architecture it might: Extract records from source system tables that have changed since last ti...
Hello,I'm wondering if there's a method or workaround to execute JDBC table queries in a similar manner to other cluster types. Currently, attempting to do so results in an error stating that only text-based files (such as JSON, Parquet, Delta, etc.)...
Could you explain more what you are trying to achieve ?
We have created a Unity Catalog instance on top of our Lakehouse (built entirely with Azure Databricks). We are using Power BI to develop and serve our analytics and reporting needs. I've granted the "Account Users" group the appropriate privileges f...
Thanks for explaining this! This doesn't do exactly what I was hoping—it doesn't block all access to the workspace. Users can still login and access their own workspace and run SQL queries, explore the catalog, etc. But they ARE blocked from accessin...
In relational data warehouse systems it was best practise to represent date values as YYYYMMDD integer type values in tables. Date comparison could be done easily without using date-functions and with low performance impact.Is this still the recomme...
Hi @DataFarmer I Databricks I will advise you to use date type instead of int, this will make your life much simpler while working on the date type data.
When trying to connect to a SQL warehouse using the JDBC connector with Spark the below error is thrown. Note that connecting directly to a cluster with similar connection parameters works without issue, the error only occurs with SQL Warehouses.py4j...
Same error here, I am trying to save spark dataframe to Delta lake using JDBC driver and pyspark using this code:#Spark session spark_session = SparkSession.builder \ .appName("RCT-API") \ .config("spark.metrics.namespace", "rct-a...
I have taken a free subscription to azure databricks, but when try to create 2x small warehouse clusture, getting below error, help appreciated.
In order to create a ci/cd pipeline to deliver dashboards (here monitoring), how to export / import a dashboard created in databricks sql dashboard from one workspace to another?Thanks
Recommendation is to update your legacy dashboard to Lakeview and then leverage built in export/import support.
Hi Is there a command you could use to list all computes configured in your workspace (active and non-active). This would be really helpful for anyone managing the platfrom to pull all the meta data (tags ,etc) and quickly evaluate all the configura...
@Kaizen You've got three ways of doing this:- Using REST API (https://docs.databricks.com/api/workspace/clusters/list),- Using CLI (https://github.com/databricks/cli/blob/main/docs/commands.md#databricks-clusters-list---list-all-clusters)- Using Pyth...
Is there any business use-case where profile_metrics and drift_metrics are used by Databricks customers.If so,kindly provide the scenario where to leverage this feature e.g data lineage,table metadata updates.
hey @pankaj2264. both profile metric and drift metric tables are created and used by Lakehouse monitoring to assess the performance of your model and data over time or relative to a baseline table. you can find all the relevant information here Intro...
I wrote simple code:from pyspark.sql import SparkSession from pyspark.sql.window import Window from pyspark.sql.functions import row_number, max import pyspark.sql.functions as F streaming_data = spark.read.table("x") window = Window.partitionBy("BK...
Hi,In my opinion the result is correctWhat needs to be noted in the result is that it is sorted by the "Onboarding_External_LakehouseId" column so if there is "BK_AccountApplicationId" with the same code, it will be partitioned into 2 row_numbersJust...
