Google Cloud Developer Relations. Learning how to do cool things with data, @GoogleCloudTech, and @GoogleWorkspace.
Opinions are my own, not that of my company.
The Rows & Columns Summit is looking for speakers. Come share your architecture lessons and learnings!
CFP closes August 2.
https://t.co/w44MctdLcO
part organized by the amazing @shanecglass
By leveraging #BigQuery for massive geospatial datasets and the visualization capabilities of @CARTO, you can now create powerful interactive visualizations and conduct advanced spatial analysis—all without leaving your Jupyter notebook.
Here's how ↓ https://t.co/bH4N6dhWeW
Thinking of switching to #Gemini for tasks you used to rely on purpose-built AI models? With Gemini models now natively integrated in #BigQuery, it's a tough call. My latest blog post weighs the pros and cons to help you decide. Check it out! 👇
https://t.co/ICr5ScOIBH
ICYMI: We announced Gemini in BigQuery last week at #GoogleCloudNext to make life easier for data practitioners! Want to learn more? Check out this overview video https://t.co/vRi49pFUz6
One week away from our #CloudNEXT session showing how to analyze data in BigQuery with Gemini!
There will be code (all you need is SQL!), live demos, and real-life user insights.
In-person? Sign up: https://t.co/p42vyMfdMm
Otherwise, watch online: https://t.co/7O6NptFRdg
If you agree with @presactlyalicia, raise your hand: "Unstructured customer feedback is a goldmine of insights, but analyzing open-ended comments manually is time-consuming and unscalable."
Read how she analyzes feedback—from Google Sheets to #BigQuery ↓
https://t.co/SquQvkoyiI
Unstructured feedback is a gold mine of insights, but analyzing open-ended comments manually takes time and effort.
Strike gold by using Google Sheets and #BigQuery with Cloud Natural Language and Cloud Translation to analyze comments at scale → https://t.co/cdaTG6XDIi
Thinking of doing some sentiment analysis? @presactlyalicia has a terrific post that goes through the details of doing just that without writing any code. Just basic SQL.
https://t.co/8cpCyHvEaJ
@daveojeda@Google@googlecloud@JohnMu Just published a blog that outlines creating this workflow with BigQuery - hope it's helpful! https://t.co/LjYVxFAaBg
No matter your role (PM, Operations, Marketing, Engineering...), customer experience is typically top-of-mind. I created a workflow leveraging #BigQuery and #CloudNaturalLanguage for drawing insights from large sets of feedback data - no code required! https://t.co/mZINW74t3r
No matter your role (PM, Operations, Marketing, Engineering...), customer experience is typically top-of-mind. I created a workflow leveraging #BigQuery and #CloudNaturalLanguage for drawing insights from large sets of feedback data - no code required! https://t.co/mZINW74t3r
In case you missed it: Are you looking to get started using #Gemini with #BigQuery? You can make analyzing images and text with Gemini this easy using the demo @presactlyalicia and I have built! https://t.co/l5B5ye5E2x
As promised: If you're looking to learn how to use Gemini to analyze BigQuery data, here's a good place to start! Check out this demo @presactlyalicia and I built to show you how Gemini can analyze image and text data from BigQuery using Remote Functions!
https://t.co/l5B5ye6bS5
@daveojeda@Google@googlecloud@JohnMu It looks like it's back @daveojeda! I'm not sure how current the code is on the blog, so I'd recommend using the sample in our documentation: https://t.co/KDFR9MuubL
With the new BigQuery ML inference engine, run inferences on unstructured data using pre-trained AI models—all in BigQuery, using just a few lines of SQL.
Use this demo to learn how ↓
https://t.co/xvfmbfuqAQ
If you're starting to move from casual observer to "get my hands dirty" with AI, I've got a few suggestions.
@asrivas_dev helps you figure out the right thing to use in Vertex AI. https://t.co/GrvBVsmIku
@stephr_wong points you to interactive tutorials: https://t.co/EBfkAfWq8J
Looking to move your ETL pipeline to Google Cloud but not sure where to start?
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Start with this demo architecture that you can deploy in your own project in just a few clicks ➡️ https://t.co/hD7HN1Tlb4
ATTN students, engineers, and researchers: @theNCI's Imaging Data Commons (IDC) dataset is a powerful tool for accelerating data-driven research and scientific discovery in cancer prevention, treatment, and diagnosis.
Follow these steps to get started ↓
https://t.co/sdowKvElrw