In Spark 4.0, there are no more data type mismatches when converting dynamic JSONs, as the new data type VariantType comes with a new function to parse JSONs. Stay tuned for 4.0 release.
You can now enable type widening on tables backed by Delta Lake. Tables with type widening enabled allow changing the type of columns to a wider data type without rewriting underlying data files. For more information:https://docs.databricks.co...
Hello members of Databricks's comunity,I am currently working on a project where we collect data from machines, that data is in .txt format. The data is currently in an Azure container, I need to clean the files and convert them to delta tables, how ...
https://docs.databricks.com/en/ingestion/add-data/upload-data.html
Now, you can keep the state of stateful streaming in RocksDB. For example, retrieving keys from memory to check for duplicate records inside the watermark is now faster. #databricks
For stateful streaming in #databricks, you can now easily read what is in the state.
I have two buckets with the same configurations and labels.One is named my-bucket and the other is my_bucket. I am able to mount my-bucket but get an opaque error message when trying to mount my_bucket. Is this known/expected behavior? Are underscore...
Hi @legobricks , Curious on the error that you are getting. However, for GCS - https://cloud.google.com/storage/docs/buckets#naming I do see underscores are allowed but there is also a note below: You can use a bucket name in a DNS record as part of ...
One of the easiest ways to debug a stream is to stream it to memory and query it with SQL #databricks
For those interested in Data Mesh and Data Lakes for FinCrime detection:Data mesh is a relatively new architectural concept for data management that emphasizes domain-driven data ownership and self-service data availability. It promotes the decentral...
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
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.
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