Metagrove Ventures’ Post

As a former data analyst, I can definitely attest to the benefits of DataHub. Gaining a broad understanding of company data without needing direct access is incredibly valuable. It significantly enhances analyst onboarding and improves time to productivity. Having a comprehensive data catalog at your fingertips empowers analysts to hit the ground running and make informed decisions faster. Looking forward to seeing how others are leveraging DataHub in their organizations!

You know you’re doing something right when you bump into DataHub adopters at Snowflake Summit and get this kind of feedback on your product… Data doesn’t have to be scary, or overly complicated. It doesn’t have to be a headache! You just need the right solution to manage it effectively…even better when that solution is applicable across your entire organization. We hope all our clients are getting the same kind of results. Time-to-value is top priority now! And big thanks to Sean Rice at HashiCorp for the shout-out.

Unistore or Hybrid tables sets some new possibilities for AI and none AI 🤐 Usecases in the now. Data Mesh is a topic bringing value to the world in many sectors but healthcare is probably one of the top sectors full of unused potential in data. Data sharing in this sensible sector is a huge challenge. No pain no gain? Or is it easier than we believe it is with Snowflake? Who likes to meet at this exciting venue and have some beer or beverages? Slip me a PM or let’s meet spontaneously at this incredible venue.

Snowflake just moved Feature Store to GA! This tool works effortlessly with your data and models, eliminating redundancies and ensuring consistency in your training and serving pipelines. It's a complete solution for creating, managing, and delivering ML features, featuring automation, point-in-time accuracy, and strong governance. You can find all the details in the blog post 😍

Here is my new blog on Snowflake's Key announcements during the Summit. It contains all the new announcements with relevant details. https://lnkd.in/g4Y_9smu

Recommended for all the data professionals, builders and entrepreneurs in Israel! Especially if you're looking to build a data product or data app using AI.

When a model underperforms, it can be difficult to understand why. Understanding and explaining model behavior is typically done using Shapley values and plays a key role in ensuring quality of the model before it goes to production, and debugging the model when it underperforms in production. Snowflake ML Explainability is now in Public Preview! Senior Product Manager at Snowflake, Avinash Joshi is here to share: 1️⃣ How to use Shapley values 2️⃣ How to compute Shapley values within Snowflake 3️⃣ The benefits of using Snowflake to compute Shapley values Read the blog to learn more: https://lnkd.in/gjN7SnF4

Rivery helps you ingest, orchestrate, and take action on all of your data. It empowers organizations to support more data sources, larger and more complex datasets, speed up time to insights, and increase access to data across the entire organization. Get to know how to get started with Rivery and Databricks. Big thanks to Zachary Cie Ariel Pohoryles Salomé Laborde-Balen Maria Pere-Perez https://lnkd.in/ezqvTMMj #Databricks #Rivery

I'll be repping Row Zero @ Snowflake Summit next week. If you're attending, stop by booth 1337 (😎) to say hello & see the world's most powerful spreadsheet! #snowflakesummit #snowflake #spreadsheets #businessintelligence #bigdata

If you’re new to Snowflake or just need a hand keeping up with the rapidly evolving platform, here’s handy little diagram to explain the components of Snowflake and a video that expands on what Snowflake can do :) Altis Consulting has been working closely with Snowflake to bring great results for our clients and with our Snowflake Data Accelerator Framework (DLA), it’s now even easier to ingest and transform your data. Feel to reach out if you would like to learn more.