Hi,I am a recruiter and I am looking for places to post some data bricks I have coming out. I have several fully remote, high-level data databricks, architect roles. Of course I will post to LinkedIn, but I was just curious if there are any other pla...
Exciting news for Databricks users! The ability to view job details within the notebook workflow section, particularly for multithreaded jobs, is available now. Instead of manually inspecting each job for failures, this feature enables us to swiftly ...
Thank you for sharing
Are you passionate about sharing your discoveries and insights with the world? Look no further! Our Knowledge Sharing Hub is the perfect space for you to showcase your research and connect with like-minded individuals across the globe. Here's why you...
Before using Spot machines in #databricks, it's a good idea to check their eviction rates in your region. Azure Resource Graph Explorer and that simple query will help. SpotResources | where type =~ 'microsoft.compute/skuspotevictionrate/location' ...
Thank you for sharing this @Hubert-Dudek
Greetings,Does anyone here have experience deploying the CrowdStrike Falcon sensor on Databricks worker instances? For context, the cluster is deployed in AWS and we use a Databricks Ubuntu 20.04 AMI. Databricks allows adding a bootstrap/startup scri...
Hi Everyone,We built Gradient, a tool to automatically optimize and monitor Databricks jobs to hit your business objectives of cost or runtime.Gradient works by applying a reinforcement ML model to automatically learn and custom tune your jobs cluste...
Hi Folks -We released a new metrics view for databricks jobs in Gradient, which helps track and plot the metrics below over time to help engineers understand what's going on with their jobs over time.Job cost (DBU + Cloud fees)Job RuntimeNumber of co...
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...
@Danny_Lee This is super insightful! Really appreciate your time to share your key takeaways with us.
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...
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...
After you enable predictive optimization, it is good to look at the system table and see what is going on with your tables #databricks
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...
databricks runtime 15 is out there!Some breaking changes. More info here https://docs.databricks.com/en/release-notes/runtime/15.0.html
Thanks for sharing this information @Hubert-Dudek!!!
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.
Thank you for sharing this @Hubert-Dudek!!!
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...
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...
