Top Tweets for #databrickscommunity
Here are some great tips from the #DatabricksCommunity on migrating ML workloads to Databricks.
Explore optimization techniques, cluster management, and model lifecycle management using Unity Catalog: https://t.co/SLs86Fqw5T
A strong and data-driven proof of concept is the foundation for adopting technology. By providing reliable initial tests and data-driven evidence, you can build confidence among stakeholders.
This #DatabricksCommunity post shares tips for assessing and adopting new technologies and steps for creating or evaluating a strong proposal.
https://t.co/xgrA7EQ7BW
Ready to dive into the world of streaming deduplication?
This break down shares streaming deduplication using watermarking with dropDuplicates and dropDuplicatesWithinWatermark – and the differences between these approaches. #DatabricksCommunity
https://t.co/dXSLuIpL5V
Data validation is one of the most important steps for code migrations.
This #DatabricksCommunity post outlines how to automate the creation of test suites and run table-level validations in Databricks Notebooks: https://t.co/5xqyvWurFw
Get started with Meta’s Segment-Anything-Model 2 (SAM2) on Databricks!
This #DatabricksCommunity technical post covers experimentation with SAM2 in a Databricks Notebook, expanding on the default examples by using custom notebook cells for visualization. https://t.co/JlduVoeHpA
From the #DatabricksCommunity: version control best practices for using Git in data science projects
Discover tips on branching strategies, project structuring, and choosing between mono- and multi-repository structures: https://t.co/AYK7LUR4SO
Top 10 queries to use with System Tables
Answer the most important questions about your Data Intelligence Platform status and health monitoring. Great tips straight from the #DatabricksCommunity: https://t.co/OIecuI0PlP
We love getting direct insights from our users!
This #DatabricksCommunity blog post walks through how to create a data pipeline in #DatabricksWorkflows for a unified + streamlined approach to managing data and AI workloads: https://t.co/4mUGZUmg7f
Itching for more technical content?
Check out the new blog on #DatabricksCommunity, where you’ll find in-depth tutorials & deep dives into topics like #ML, data engineering & analytics. Check out our latest content & engage in some great discussions! https://t.co/YwzsVRRVIs
My first community swag 😎#databrickscommunity #databricks if the shirt was a women's size it would be great😉
Did someone say...contest 👀
#DatabricksCommunity, showcase your 🎨 creativity & win a free ticket to #DataAISummit in San Francisco! To enter, share your best dashboard & how it tackles a tough data challenge.
Get all the details & requirements here: https://t.co/llDNwLzQZI
Hey, #DatabricksCommunity members 👋
Showcase your 🎨 creativity & win a free ticket to #DataAISummit in San Francisco! To enter, share your best dashboard & how it tackles a tough data challenge.
See how to participate: https://t.co/A9gkABFO8e
📣 Calling all #DatabricksCommunity members!
Showcase your 🎨 creativity & win a free ticket to #DataAISummit in San Francisco! To enter, share your best dashboard & how it tackles a tough data challenge.
Get all the details & requirements here: https://t.co/A9gkABocJE
Are you a:
✅ Passionate
✅ Dedicated
✅ Curious
data practitioner? If you answered "yes," check out our #DatabricksCommunity, a place where you can learn and share with #data + #AI experts and peers!
https://t.co/8r2kojIL5U
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