- 1861 Views
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Resolved! Databricks VS code extension to add cell title
I use the databricks extension in vs code for all my work. Is there any way for me to add a cell title from the extension itself?. There is no point in adding in the server version of this notebook cause when I sync the local to sever, it will overwr...
- 1861 Views
- 2 replies
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One needs to use # DBTITLE 1,cell_title in a py file # COMMAND ---------- # DBTITLE 1,Title 1 from pyspark.sql import SparkSession from delta.tables import DeltaTable from pyspark.sql.functions import *
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- 2859 Views
- 1 replies
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The Databricks Python SDK
The Databricks SDK is a script (written in Python, in our case) which lets you control and automate actions on Databricks using the methods available in the WorkSpaceClient (more about this below).Why do we need Databricks SDK:- Automation: You can d...
- 2859 Views
- 1 replies
- 4 kudos
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Good Article @RiyazAliM.
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- 2871 Views
- 2 replies
- 4 kudos
Apache 4.0
Missed the Apache Spark 4.0 release? It is not just a version bump, it is a whole new level for big data processing. Some of the highlights that really stood out to me:1. SQL just got way more powerful: reusable UDFs, scripting, session variables, an...
- 2871 Views
- 2 replies
- 4 kudos
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Yeah, Spark 4.0 brings powerful enhancements while staying compatible with existing workloads.Thank you for putting this together and highlighting the key updates, @ilir_nuredini.
- 4 kudos
- 3677 Views
- 4 replies
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Data Modeling
Just got out of a session on Data Modeling using the Data Vault paradigm. Highly recommended to help think through complex data design. Look out for Data Modeling 101 for Data Lakehouse Demystified by Luan Medeiros.
- 3677 Views
- 4 replies
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Hi @BS_THE_ANALYST , please use this link with code for reference :https://www.databricks.com/blog/data-vault-best-practice-implementation-lakehouse
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- 1839 Views
- 0 replies
- 1 kudos
Databricks Asset Bundles
Why Should You Use Databricks Asset Bundles (DABs)?Without proper tooling, Data Engineering and Machine Learning projects can quickly become messy.That is why we recommend leveraging DABs to solve these common challenges:1. Collaboration:Without stru...
- 1839 Views
- 0 replies
- 1 kudos
- 14608 Views
- 8 replies
- 8 kudos
My Journey with Schema Management in Databricks
When I first started handling schema management in Databricks, I realized that a little bit of planning could save me a lot of headaches down the road. Here’s what I’ve learned and some simple tips that helped me manage schema changes effectively. On...
- 14608 Views
- 8 replies
- 8 kudos
- 8 kudos
Haha, glad it made sense! Joao.Try it out, and if you run into any issues, just let me know. Always happy to help! And best friends? You got it!
- 8 kudos
- 2164 Views
- 2 replies
- 6 kudos
🔐 How Do I Prevent Users from Accidentally Deleting Tables in Unity Catalog? 🔐
Question:I have a role called dev-dataengineer with the following privileges on the catalog dap_catalog_dev:APPLY TAGCREATE FUNCTIONCREATE MATERIALIZED VIEWCREATE TABLECREATE VOLUMEEXECUTEREAD VOLUMEREFRESHSELECTUSE SCHEMAWRITE VOLUMEDespite this, u...
- 2164 Views
- 2 replies
- 6 kudos
- 6 kudos
Managing assets in UC is always a overhead maintenance. We have this access controls in terraform codes and it is always hard to see what level of access is given to different personas in the org. We are building an audit dashboard for it.
- 6 kudos
- 2347 Views
- 1 replies
- 1 kudos
Databricks Optimization Tips – What’s Your Secret?
When I first started working with Databricks, I was genuinely impressed by its potential. The seamless integration with Delta Lake, the power of PySpark, and the ability to process massive datasets at incredible speeds—it was truly impactful.Over tim...
- 2347 Views
- 1 replies
- 1 kudos
- 1 kudos
1. Try to remove cache() and persist() in the dataframe operations in the code base.2. Fully avoid driver operations like collect() and take() - the information from the executors are brought back to driver, which is highly network i/o overhead.3. Av...
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- 903 Views
- 0 replies
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Request for a guest post
Hi, I hope you're doing well. My name is Prasanna. C, Digital Marketing Strategist at Express Analytics, a company that understands consumer behavior and provides analytics solutions and services to businesses. Express Analytics primarily offers...
- 903 Views
- 0 replies
- 0 kudos
- 2244 Views
- 2 replies
- 1 kudos
Automatic Liquid Clustering and PO
I spent some time to understand how to use automatic liquid clustering with dlt pipelines. Hope this can help you as well.Enable Predictive Optimization Use this code:# Enabling Automatic Liquid Clustering on a new table @dlt.table(cluster_by_auto=Tr...
- 2244 Views
- 2 replies
- 1 kudos
- 1 kudos
Hi @Addy0_, thanks for sharing how to set it for existing table. Unfortunately, I think ALTER cannot be used with materialized view and streaming tables defined in dlt pipelines.I was looking for something similar to @dlt.table(cluster_by_auto=True, ...
- 1 kudos
- 1226 Views
- 0 replies
- 1 kudos
Databricks Data Classification
I encourage you to try out a new beta feature in Databricks called : Data Classification. It automatically classifies your catalog data and tag it with tags. Docs: https://docs.databricks.com/aws/en/lakehouse-monitoring/data-classification
- 1226 Views
- 0 replies
- 1 kudos
- 1117 Views
- 0 replies
- 1 kudos
Strong Databricks Fundamental - Gen Z
Why Databricks is the Future of Data Analytics for Gen ZIn the fast-paced world of data analytics, staying ahead of the curve is crucial. For Gen Z, who are digital natives and always on the lookout for the latest tech trends, understanding the diffe...
- 1117 Views
- 0 replies
- 1 kudos
- 4178 Views
- 1 replies
- 1 kudos
Post: Lakehouse Federation - Databricks
Lakehouse Federation - Databricks In the world of data, innovation is constant. And the most recent revolution comes with Lakehouse Federation, a fusion between data lakes and data warehouses, taking data manipulation to a new level. This advancement...
- 4178 Views
- 1 replies
- 1 kudos
- 1 kudos
Hey Quick Question, Can we use it for the production version ? We have application server as SQL server, we are planning to use lakehouse federation so we can bypass creating and maintaining 100 of workflows. as we a small dataset I am not too sure o...
- 1 kudos
- 1287 Views
- 0 replies
- 1 kudos
Hub Star Modeling 2.0 for Medalion Architecture
Excited to share my latest publication on arXiv!“Hub Star Modeling 2.0 for Medallion Architecture” https://arxiv.org/abs/2504.08788This new version builds on the original Hub Star Modeling approach, published last year, and now tailored for the Meda...
- 1287 Views
- 0 replies
- 1 kudos
- 5058 Views
- 1 replies
- 6 kudos
Handling Complex Nested JSON in Databricks Using schemaHints
When I first got into managing schemas in Databricks, it took me a while to realize that putting in a little planning up front could save me a ton of headaches later on.I was working with these deeply nested, constantly changing JSON files. At first,...
- 5058 Views
- 1 replies
- 6 kudos
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Great tip @genevive_mdonça! schemaHints help avoid issues with evolving JSON data, making data processing more reliable and easier to maintain. Thanks for sharing.
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