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Forum Posts

Danny_Lee
by Databricks Partner
  • 3938 Views
  • 1 replies
  • 1 kudos

Jonathan Frankel at Sigma talk

Hi @Sujitha Just to follow up on your suggestion to share my takeaways from Jonathan Frankel's talk at Sigma in NYC.  The key ideas I came away with is:Building in-house custom models is more than just possible, there's advantages to itThere's danger...

  • 3938 Views
  • 1 replies
  • 1 kudos
Latest Reply
Sujitha
Databricks Employee
  • 1 kudos

@Danny_Lee This is super insightful! Really appreciate your time to share your key takeaways with us. 

  • 1 kudos
Danny_Lee
by Databricks Partner
  • 2321 Views
  • 0 replies
  • 1 kudos

Databricks AI Security Framework

Today Databricks announced the release of the Databricks AI Security Framework (LinkedIn Post)You can download the paper (PDF) from blog post. Anyone else download this and have thoughts?   My first thought is its a great start and has an excellent G...

  • 2321 Views
  • 0 replies
  • 1 kudos
avrm91
by Databricks Partner
  • 1936 Views
  • 0 replies
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GCP - Initial External Location to GCP Bucket is wrong

When creating a new Workspace in GCP the default GCP External Location is wrong.Its easily fixed by Catalog (on the left) > External Data (on the bottom) > External Locations > choose the connection and edit the URL by deleting the second BucketId af...

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  • 1936 Views
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Hubert-Dudek
by Databricks MVP
  • 2141 Views
  • 0 replies
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Predictive optimization log

After you enable predictive optimization, it is good to look at the system table and see what is going on with your tables #databricks

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  • 2141 Views
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Emil_Kaminski
by Contributor II
  • 18744 Views
  • 2 replies
  • 8 kudos

Materials to pass Databricks Data Engineering Associate Exam

Hi Guys, I have passed it already some time ago, but just recently have summarized all the materials which helped me to do it. Pay special attention to GitHub repository, which contains many great exercises prepared by Databricks teamhttps://youtu.be...

  • 18744 Views
  • 2 replies
  • 8 kudos
Latest Reply
PurtiSharma
New Contributor II
  • 8 kudos

Thanks for sharing. It is indeed very useful.

  • 8 kudos
1 More Replies
MichTalebzadeh
by Valued Contributor
  • 2347 Views
  • 0 replies
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Feature article: Leveraging Generative AI with Apache Spark: Transforming Data Engineering

I created this article in Linkedlin to allow both this community and Apache Spark user community to have access to it.It is particularly useful for data engineers who want to have a basic understanding of what  Generative AI with Spark can do.Leverag...

Community Articles
Generative AI
spark
  • 2347 Views
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Hubert-Dudek
by Databricks MVP
  • 4493 Views
  • 1 replies
  • 3 kudos

DBR 15.0 beta

databricks runtime 15 is out there!Some breaking changes. More info here https://docs.databricks.com/en/release-notes/runtime/15.0.html

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  • 4493 Views
  • 1 replies
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Latest Reply
jose_gonzalez
Databricks Employee
  • 3 kudos

Thanks for sharing this information @Hubert-Dudek!!!

  • 3 kudos
Hubert-Dudek
by Databricks MVP
  • 4422 Views
  • 1 replies
  • 1 kudos

Notebook IDE

This is an excellent step for #databricks notebooks. Integrated debugger and CLI in notebook terminal is a big step towards a fully functional cloud IDE.

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  • 4422 Views
  • 1 replies
  • 1 kudos
Latest Reply
jose_gonzalez
Databricks Employee
  • 1 kudos

Thank you for sharing this @Hubert-Dudek!!!

  • 1 kudos
MichTalebzadeh
by Valued Contributor
  • 8528 Views
  • 2 replies
  • 0 kudos

Build a machine learning model to detect fraudulent transactions using PySpark's MLlib library

IntroductionFinancial fraud is a significant concern for businesses and consumers alike. I have written about this concern a few times in Linkedlin articles. Machine learning offers powerful tools to combat this issue by automatically identifying sus...

Community Articles
Financial Fraud
PySpark MLlib
spark
  • 8528 Views
  • 2 replies
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Latest Reply
deborah621
New Contributor II
  • 0 kudos

Looking to build a machine learning model for detecting fraudulent transactions using PySpark’s MLlib. Generate synthetic transaction data. Provides a dataset for model training without using sensitive real-world data. Enables the creation of diverse...

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1 More Replies
alexgv12
by New Contributor III
  • 2564 Views
  • 1 replies
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is it possible to have a class level separation in databricks or implement a design pattern in datab

if you have thought about making your code inside databricks and notebooks more reusable and organized and you have thought about implementing a design pattern or class level separation in databricks the answer is yes, I am going to tell you the deta...

  • 2564 Views
  • 1 replies
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Latest Reply
-werners-
Esteemed Contributor III
  • 2 kudos

tnx! I have spent quite some time on figuring out what the best way is. Your approach is certainly a valid one.Myself I prefer to package reused classes in a jar (we mainly code in scala). Works fine too.

  • 2 kudos
MichTalebzadeh
by Valued Contributor
  • 7563 Views
  • 1 replies
  • 1 kudos

Building Event-Driven Real-Time Data Processor with Spark Structured Streaming and API Integration

 I recently saw an article from Databricks titled "Scalable Spark Structured Streaming for REST API Destinations". A great article focusing on continuous Spark Structured Streaming (SSS). About a year old. I then decided, given customer demands to wo...

Community Articles
Event-driven architecture
Flask
spark
Spark Structure Streaming
Spark Structured Streaming
  • 7563 Views
  • 1 replies
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Hubert-Dudek
by Databricks MVP
  • 3142 Views
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stored procedures

The plan for stored procedures in databricks spark has been announced in a few places. How can stored procedures look in Spark SQL?

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  • 3142 Views
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hanlinsun
by Databricks Employee
  • 1189 Views
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Redesigned Move File & Clone File Experiences

Hi everyone! We are redesigning the Move File and Clone File experiences. We want to make it as seamless as possible to organize your files, and would love your feedback on the designs!   Move File: Move Option 1   Move Option 2:     Clone File: Cl...

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  • 1189 Views
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Hubert-Dudek
by Databricks MVP
  • 3320 Views
  • 1 replies
  • 2 kudos

liquid partitioning

Based on my experience with data partitioning, it often diminishes performance rather than enhancing it. There are exceptions, like when handling tables over 1TB, or when EVERY single query utilizes partition in the WHERE clause - for instance, a Pow...

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Community Articles
optimize
Partitions
  • 3320 Views
  • 1 replies
  • 2 kudos
Latest Reply
jose_gonzalez
Databricks Employee
  • 2 kudos

Thank you for sharing this @Hubert-Dudek !!

  • 2 kudos
Taha_Hussain
by Databricks Employee
  • 4005 Views
  • 0 replies
  • 2 kudos

Your updated resource guide to the Databricks Data Intelligence Platform

Want to increase your Databricks knowledge? Look no further!Here’s a guide filled with key resources you’ll need while working on the Databricks Data Inteligence Platform. Bookmark these pages for future reference, or apply these learnings during the...

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  • 4005 Views
  • 0 replies
  • 2 kudos
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