- 948 Views
- 2 replies
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Databricks LLM Evolution and Future Prospects
Databricks LLM Evolution and Future ProspectsDatabricks has progressed from a big-data compute engine to a full-stack AI powerhouse that designs, trains, and serves state‐of‐the-art large language models (LLMs). This article explores two key technica...
- 948 Views
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Thanks, @RiyazAliM, for checking out the blog post!More insights on Databricks LLM and Dolly are on the way in the next one. Stay tuned and keep learning!Best,Ayush
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- 1506 Views
- 2 replies
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Building a Metadata Table-Driven Framework Using LakeFlow Declarative (Formerly DLT) Pipelines
IntroductionScaling data pipelines across an organization can be challenging, particularly when data sources, requirements, and transformation rules are always changing. A metadata table-driven framework using LakeFlow Declarative (Formerly DLT) enab...
- 1506 Views
- 2 replies
- 7 kudos
- 2237 Views
- 3 replies
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Modernizing Legacy Data Platforms to Lakehouse for AI-Readiness
As organizations increasingly migrate from legacy platforms—like on-prem SQL Server, Oracle Exadata, Teradata, Informatica, Cloudera, or Netezza—to modern cloud architectures, one critical question often arises:"Are we just lifting and shifting the s...
- 2237 Views
- 3 replies
- 9 kudos
- 9 kudos
Great article @hozefa413 , It shows all your expertise and delivery excellence
- 9 kudos
- 651 Views
- 0 replies
- 0 kudos
Implementing data contracts on Databricks for industrial AI pipelines
Enforce schema consistency using declarative contracts on Databricks Lakehouse.Industrial AI is transforming how operations are optimized, from forecasting equipment failure to streamlining supply chains. But even the most advanced models are only as...
- 651 Views
- 0 replies
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- 1103 Views
- 2 replies
- 3 kudos
Establishing Trust relationship for Databricks on AWS
Hello.Our databricks is on Azure. We are trying to connect with AWS S3 as an external source from Unity Catalog.We have followed all steps given here, is there anything additional required?https://docs.databricks.com/aws/en/connect/unity-catalog/clou...
- 1103 Views
- 2 replies
- 3 kudos
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Hi @gdschld ,what ID have you used here:"sts:ExternalId": "<STORAGE-CREDENTIAL-EXTERNAL-ID>"I haven't done this for some time and got a bit confused with this STORAGE-CREDENTIAL-EXTERNAL_ID. I used to put there Databricks Account ID.I found this, it ...
- 3 kudos
- 5663 Views
- 2 replies
- 1 kudos
How to enable unity catalog system tables?
Unity Catalog system tables provide lots of metadata & log data related to the operations of Databricks. System tables are organized into separate schemas containing one to a few tables owned and updated by Databricks. The storage and the cost of the...
- 5663 Views
- 2 replies
- 1 kudos
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It's in the Databricks CLI Unity Catalog section Databricks CLI commands | Databricks DocumentationmetastoresCommands to manage metastores, which are the top-level container of objects in Unity Catalog:assign, create, current, delete, get, list, summ...
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- 935 Views
- 1 replies
- 3 kudos
Building DLT Pipelines with Databricks Free Edition and Amazon Q Developer
How AI-powered development accelerated my data engineering workflow Watch the Complete Development Process YouTube Video: See the entire 30-minute development sessionThis is a screen recording without voice narration showing the complete development ...
- 935 Views
- 1 replies
- 3 kudos
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This is super insightful @Pat, thanks for sharing this with the Community!
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- 815 Views
- 2 replies
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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...
- 815 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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- 777 Views
- 1 replies
- 4 kudos
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...
- 777 Views
- 1 replies
- 4 kudos
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Good Article @RiyazAliM.
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- 2048 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...
- 2048 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
- 7874 Views
- 3 replies
- 2 kudos
Optimizing Costs in Databricks by Dynamically Choosing Cluster Sizes
Databricks is a popular unified data analytics platform known for its powerful data processing capabilities and seamless integration with Apache Spark. However, managing and optimizing costs in Databricks can be challenging, especially when it comes ...
- 7874 Views
- 3 replies
- 2 kudos
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How can this actually be used to choose a cluster pool for a Databricks workflow dynamically, that is, at run time? In other words, what can you actually do with the value of `selected_pool` other than printing it out?
- 2 kudos
- 1702 Views
- 2 replies
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Resolved! Community (Legacy) Edition Question
Hello,I have been teaching my Data Warehousing class using the Databricks Community Edition. With the change to the Databricks Free Edition, there are many aspects of my Community Edition notebooks that no longer work in the free Edition. Is there ...
- 1702 Views
- 2 replies
- 1 kudos
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Hello @OU_Professor! Access to existing Community Edition accounts will remain available for the rest of the year. However, please note that new users attempting to sign up for Community Edition are now redirected to the Free Edition instead.
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- 2816 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.
- 2816 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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- 920 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...
- 920 Views
- 0 replies
- 1 kudos
- 7692 Views
- 11 replies
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From Associate to Professional: My Learning Plan to ace all Databricks Data Engineer Certifications
In today’s data-driven world, the role of a data engineer is critical in designing and maintaining the infrastructure that allows for the efficient collection, storage, and analysis of large volumes of data. Databricks certifications holds significan...
- 7692 Views
- 11 replies
- 41 kudos
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@SumitSingh this is getting put in the favourites. Thanks a bunch for this All the best,BS
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