![DemoHub | Demos For Modern Data Tools](/img/default-banner.jpg)
- 261
- 687 245
DemoHub | Demos For Modern Data Tools
United States
Приєднався 7 лип 2011
Welcome!
My name is Fru (NDE). I do interviews and DEMOS to inspire, teach and provide orientation around exciting Technology Tools focusing on the Modern Data Space.
My humble beginnings, deep work experience, relentless optimism, insatiable curiosity, strong accent, and unique perspective on things are motivations for creating this channel.
Why Demohub? www.demohub.dev/about-us/
➥GUEST APPEARANCE➥
Email: hello@demohub.dev or www.demohub.dev/demohub-guest/
➥DISCLAIMER ➥
The channel and platform are hobby projects. Views are all mine and don’t represent the views of my employer(s) or any institution. I reserve the right to hold and amend my views as needed. You agree not to rely upon any information contained in any video or material shared.
My name is Fru (NDE). I do interviews and DEMOS to inspire, teach and provide orientation around exciting Technology Tools focusing on the Modern Data Space.
My humble beginnings, deep work experience, relentless optimism, insatiable curiosity, strong accent, and unique perspective on things are motivations for creating this channel.
Why Demohub? www.demohub.dev/about-us/
➥GUEST APPEARANCE➥
Email: hello@demohub.dev or www.demohub.dev/demohub-guest/
➥DISCLAIMER ➥
The channel and platform are hobby projects. Views are all mine and don’t represent the views of my employer(s) or any institution. I reserve the right to hold and amend my views as needed. You agree not to rely upon any information contained in any video or material shared.
Amphi.ai: Revolutionizing Data Engineering with a unique (GUI↔Code) Python Pipelines | Founder Demo
#Demohub.dev #ModernDataStack
Be a Guest: www.demohub.dev/demohub-guest/
I recently discovered Amphi (Amphi AI) and was fascinated by its unique Pandas-based approach to data engineering. Amphi.ai stands for “duality” and takes a unique (GUI↔Code) approach to data transformation.
I had the opportunity to speak with the founder Thibaut Gourdel, who shared a demo and his exciting vision for the platform:
Demo: lnkd.in/gxDjc4xN
Post: lnkd.in/gnr5miTW
Amphi: amphi.ai/
GitHub: lnkd.in/e7ANZgqA
Check out Amphi, give it a star on GitHub, and keep an eye on its progress!
Topics
[00:00:00] Start
[00:00:05] Introduction and Welcome
[00:00:10] Meet Thibaud: Founder of Amphi
[00:00:48] What is Amphi?
[00:02:21] Amphi's Go-to-Market and Deployment
[00:03:28] Live Demo of Amphi
[00:04:07] Building and Running Pipelines
[00:05:43] Amphi's Connectors and Community Contributions
[00:07:23] Olympics Data Use Case
[00:09:29] Future Plans and Integrations
[00:17:11] The Role of LLMs and Agents in ETL
[00:19:22] Exploring the Future of Integration Tools
[00:19:56] Open Source Agents and Ecosystem
[00:20:35] Traction and User Adoption
[00:21:51] Monetization Strategies and SaaS Potential
[00:23:06] Journey from Enterprise to Entrepreneurship
[00:25:33] Vision for the Future of Amphi
[00:35:12] Comparing Amphi with Apache NiFi
[00:36:25] Final Thoughts and Call to Action
Discover Amphi.ai, the game-changing low-code Python-based ETL tool for structured and unstructured data. Join us as we sit down with Thibaut, the founder, to explore how Amphi.ai accelerates data pipeline development, generates native Python code, and empowers data practitioners. Learn about its visual interface, local processing for privacy, and AI integration capabilities.
=====================================================
👩🏼💻 | Looking To Understand Technology
🌟 | Needing Inspiration and Spark on Key Concepts
👇🏻👇🏻 Start With the Links Below👇🏻👇🏻
=====================================================
➥➥➥ I'M AN AUTHOR! ➥➥➥
Get my book ⇢ amzn.to/3qvdx50
➥➥➥ SUBSCRIBE FOR MORE VIDEOS ➥➥➥
Never miss a video, subscribe ⇢ ua-cam.com/channels/akdY-DuPRO9M0VVNmk9qgw.html
Course on Udemy:
▶ www.udemy.com/course/the-complete-python-3-course-beginner-to-advanced/
Check out my GitHub Repo for other Goodies:
▶ github.com/frulouis/Python-for-Beginners
➥➥➥ EQUIPMENT I USE ➥➥➥
LAPTOP: amzn.to/3sLkdih
DESK TRIPOD: amzn.to/3za4zy6
MICROPHONE: amzn.to/3z81Fdd
➥➥➥ RESOURCES ➥➥➥
Elevate Your Tech Game ⇢ www.frulouis.com/
➥➥➥ SUPPORT ME ➥➥➥
📚 ?? Sponsor me via crypto:
▶ BitCoin - 1GD3VDJevws36GCdJUAprYeSwbNFWMMNyV
▶ LiteCoin - 0x79c860E482B303d89dbeAA022199a1105c506a26
▶ BitCoin Cash - 1GD3VDJevws36GCdJUAprYeSwbNFWMMNyV
▶ Ethereum - LPVZFyUpJWKKZpkF52pJKNT67xDqXGaxqM
📚 ?? Sponsor me on PayPal:
▶ Paypal - coach.frulouis@gmail.com
▶ Patreon - www.patreon.com/frulouis/
➥➥➥ SEND ME SOMETHING ➥➥➥
Email:
frutech3@gmail.com
Mail:
Inspired Nation, LLC
8725 Columbine Rd P.O Box 44052
MN Eden Prairie, 55344 United States
***Disclaimer Brief: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
➥➥➥ FULL DISCLAIMER ➥➥➥
I am not a financial/career advisor/planner/coach or broker/dealer. I am not liable for the information (technical or otherwise) you decide to use from this channel. The views are all mine and don't represent the views of my employer(s) or any institution. Content is for informational and entertainment purposes only and should not be considered personal financial, career, technical, or other advice. There is no guarantee that you will earn any money or achieve success using the techniques and ideas mentioned. Your level of success in attaining the results claimed in this video will require hard work, experience, and knowledge. We have taken reasonable steps to ensure that the information on this video is accurate. Still, we cannot represent that the website(s) mentioned in this video are free from errors. You expressly agree not to rely upon any information contained in this video.
Affiliate Disclosure: This video and description may contain affiliate links, which means that if you click on one of the links, I'll receive a small commission without you paying any extra.
Be a Guest: www.demohub.dev/demohub-guest/
I recently discovered Amphi (Amphi AI) and was fascinated by its unique Pandas-based approach to data engineering. Amphi.ai stands for “duality” and takes a unique (GUI↔Code) approach to data transformation.
I had the opportunity to speak with the founder Thibaut Gourdel, who shared a demo and his exciting vision for the platform:
Demo: lnkd.in/gxDjc4xN
Post: lnkd.in/gnr5miTW
Amphi: amphi.ai/
GitHub: lnkd.in/e7ANZgqA
Check out Amphi, give it a star on GitHub, and keep an eye on its progress!
Topics
[00:00:00] Start
[00:00:05] Introduction and Welcome
[00:00:10] Meet Thibaud: Founder of Amphi
[00:00:48] What is Amphi?
[00:02:21] Amphi's Go-to-Market and Deployment
[00:03:28] Live Demo of Amphi
[00:04:07] Building and Running Pipelines
[00:05:43] Amphi's Connectors and Community Contributions
[00:07:23] Olympics Data Use Case
[00:09:29] Future Plans and Integrations
[00:17:11] The Role of LLMs and Agents in ETL
[00:19:22] Exploring the Future of Integration Tools
[00:19:56] Open Source Agents and Ecosystem
[00:20:35] Traction and User Adoption
[00:21:51] Monetization Strategies and SaaS Potential
[00:23:06] Journey from Enterprise to Entrepreneurship
[00:25:33] Vision for the Future of Amphi
[00:35:12] Comparing Amphi with Apache NiFi
[00:36:25] Final Thoughts and Call to Action
Discover Amphi.ai, the game-changing low-code Python-based ETL tool for structured and unstructured data. Join us as we sit down with Thibaut, the founder, to explore how Amphi.ai accelerates data pipeline development, generates native Python code, and empowers data practitioners. Learn about its visual interface, local processing for privacy, and AI integration capabilities.
=====================================================
👩🏼💻 | Looking To Understand Technology
🌟 | Needing Inspiration and Spark on Key Concepts
👇🏻👇🏻 Start With the Links Below👇🏻👇🏻
=====================================================
➥➥➥ I'M AN AUTHOR! ➥➥➥
Get my book ⇢ amzn.to/3qvdx50
➥➥➥ SUBSCRIBE FOR MORE VIDEOS ➥➥➥
Never miss a video, subscribe ⇢ ua-cam.com/channels/akdY-DuPRO9M0VVNmk9qgw.html
Course on Udemy:
▶ www.udemy.com/course/the-complete-python-3-course-beginner-to-advanced/
Check out my GitHub Repo for other Goodies:
▶ github.com/frulouis/Python-for-Beginners
➥➥➥ EQUIPMENT I USE ➥➥➥
LAPTOP: amzn.to/3sLkdih
DESK TRIPOD: amzn.to/3za4zy6
MICROPHONE: amzn.to/3z81Fdd
➥➥➥ RESOURCES ➥➥➥
Elevate Your Tech Game ⇢ www.frulouis.com/
➥➥➥ SUPPORT ME ➥➥➥
📚 ?? Sponsor me via crypto:
▶ BitCoin - 1GD3VDJevws36GCdJUAprYeSwbNFWMMNyV
▶ LiteCoin - 0x79c860E482B303d89dbeAA022199a1105c506a26
▶ BitCoin Cash - 1GD3VDJevws36GCdJUAprYeSwbNFWMMNyV
▶ Ethereum - LPVZFyUpJWKKZpkF52pJKNT67xDqXGaxqM
📚 ?? Sponsor me on PayPal:
▶ Paypal - coach.frulouis@gmail.com
▶ Patreon - www.patreon.com/frulouis/
➥➥➥ SEND ME SOMETHING ➥➥➥
Email:
frutech3@gmail.com
Mail:
Inspired Nation, LLC
8725 Columbine Rd P.O Box 44052
MN Eden Prairie, 55344 United States
***Disclaimer Brief: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
➥➥➥ FULL DISCLAIMER ➥➥➥
I am not a financial/career advisor/planner/coach or broker/dealer. I am not liable for the information (technical or otherwise) you decide to use from this channel. The views are all mine and don't represent the views of my employer(s) or any institution. Content is for informational and entertainment purposes only and should not be considered personal financial, career, technical, or other advice. There is no guarantee that you will earn any money or achieve success using the techniques and ideas mentioned. Your level of success in attaining the results claimed in this video will require hard work, experience, and knowledge. We have taken reasonable steps to ensure that the information on this video is accurate. Still, we cannot represent that the website(s) mentioned in this video are free from errors. You expressly agree not to rely upon any information contained in this video.
Affiliate Disclosure: This video and description may contain affiliate links, which means that if you click on one of the links, I'll receive a small commission without you paying any extra.
Переглядів: 196
Відео
Streamlining Snowflake Development: Git Integration and Database Change Management (CI/CD) | DemoHub
Переглядів 159Місяць тому
#Demohub.dev #ModernDataStack tutorials.demohub.dev/demo/data-change-management-(-git-integration) In this demo, we explore how to leverage Git integration and implement efficient database change management practices in Snowflake. Learn how to version control your Snowflake objects, manage schema changes, and streamline your development workflow. We'll cover setting up Git integration, creating...
Moshi AI: Real-Time Personal AI Voice Assistant - Test Beats GPT-4o??? DemoHub.dev
Переглядів 4482 місяці тому
#Demohub.dev #ModernDataStack us.moshi.chat/ Get ready to experience the future of AI creation with Moshi! This demo video showcases Moshi's powerful multi-modal capabilities, allowing you to effortlessly combine text, images, audio, and even video in real-time. Witness Moshi's open-source magic as it empowers artists, developers, and curious minds to create unique and engaging content. Whether...
Mastering Snowflake Document AI: Extract Insights from Unstructured Data (PDFs) | DemoHub.dev
Переглядів 4822 місяці тому
#Demohub.dev #ModernDataStack Tutorial Scripts: tutorials.demohub.dev/demo/snowflake-document-ai-(docai) Unlock the power of unstructured data with Snowflake Document AI! In this comprehensive tutorial, learn how to set up, train, and utilize Document AI to extract valuable information from invoices and other documents. We'll cover everything from environment setup and access control to model t...
Snowflake Database Change Management (+SQL Templates, +Jinja) | DemoHub
Переглядів 1212 місяці тому
#Demohub.dev #ModernDataStack Guide: tutorials.demohub.dev/demo/snowflake-database-change-management-(-sql-templates-jinja) Dive into the world of efficient database management in Snowflake using Jinja templating. This video demonstrates how to create dynamic SQL scripts that adapt to different environments, streamline data model setup, and improve code reusability. Learn to leverage Jinja for ...
Fine-tuning (Snowflake Cortex): Serverless LLM Fine-tuning using Snowflake Cortex AI | DemoHub.dev
Переглядів 1712 місяці тому
#Demohub.dev #ModernDataStack tutorials.demohub.dev/demo/snowflake-cortex-finetuning-llms Unlock the full potential of your data with fine-tuning in Snowflake Cortex. Fine-tuning allows you to optimize your data models, improve accuracy, and achieve better insights. In this video, we will cover: Introduction to Snowflake Cortex The Importance of Fine-Tuning Steps to Fine-Tune Your Data Models P...
Snowflake Projection Policies: Secure & Protect Sensitive Information | DemoHub.dev
Переглядів 632 місяці тому
#Demohub.dev #ModernDataStack Tutorial: tutorials.demohub.dev/demo/snowflake-s-projection-policies Protecting sensitive information within your data warehouse is crucial for effective data governance. Snowflake Projection Policies offer a powerful solution to restrict specific columns from appearing in query results, ensuring data security and compliance. In this video, we will cover: What are ...
Snowflake Data Quality Metrics & Functions: Enhance Your Data Integrity | DemoHub.dev
Переглядів 5212 місяці тому
#Demohub.dev Snowflake Data Quality Metrics/Functions: tutorials.demohub.dev/demo/data-quality-metrics-functions-(dqm-dmf) In the world of data-driven decision-making, ensuring the accuracy and reliability of your information is crucial. Snowflake Data Metric Functions (DMFs) and Data Quality Metrics (DQMs) provide a robust mechanism to automate the monitoring of data quality, freeing you from ...
Snowflake Dynamic Tables & Real-Time Declarative Streaming Data Pipelines Simplified | DemoHub.dev
Переглядів 1002 місяці тому
#Demohub.dev #ModernDataStack In this comprehensive tutorial, discover the power of Snowflake Dynamic Tables and learn how to build efficient, automated data pipelines with ease. We'll guide you through a step-by-step process to set up a multi-stage data pipeline using dynamic tables, focusing on sales data analysis. See how Snowflake's dynamic tables simplify data transformations, reduce manua...
Load Test Snowflake: JMeter Tutorial For Heavy Concurrency Load Testing & Auto-Scaling | DemoHub.dev
Переглядів 1252 місяці тому
#Demohub.dev #ModernDataStack Complete Tutorial: tutorials.demohub.dev/demo/snowflake-jmeter-load-concurrency-test Unlock the secrets to ensuring the scalability and performance of your Snowflake data warehouse under heavy workloads with our step-by-step guide on using Apache JMeter for load and concurrency testing. This tutorial covers everything from setting up your JMeter environment, creati...
Snowflake Cortex Tutorial: Embeddings, Vector Search & Cortex Summarization Explained | DemoHub.dev
Переглядів 4153 місяці тому
#Demohub.dev #ModernDataStack tutorials.demohub.dev/demo/embeddings-and-vector-search Dive into the world of Snowflake's advanced text analysis capabilities with Snowflake Cortex! This hands-on tutorial shows you how to harness the power of embeddings and vector search to unlock hidden insights from your unstructured text data. We'll walk through practical examples, from generating embeddings f...
Snowflake Trust Center - Master Data Security with Snowflake Trust Center Platform | DemoHub.dev
Переглядів 2483 місяці тому
#Demohub.dev #moderndatastack DemoHub Tutorials: tutorials.demohub.dev/demo/snowflake-trust-center Learn how to leverage the powerful Snowflake Trust Center to fortify your data protection and ensure compliance. In this step-by-step tutorial, we'll dive into: Why Trust Center Matters: Understand the key benefits for your organization. CIS Benchmarks Demystified: Discover how to align your Snowf...
Snowflake Higher Order Functions (FILTER, TRANSFORM, REDUCE): A Practical Guide | DemoHub
Переглядів 1713 місяці тому
Snowflake Higher Order Functions (FILTER, TRANSFORM, REDUCE): A Practical Guide | DemoHub
Snowflake Copilot - Master Data Analysis with Powerful AI-powered Text to SQL Assistant | DemoHub
Переглядів 1,2 тис.4 місяці тому
#Demohub.dev #ModernDataStack #FruTech.io #TechWithFru #SnowflakeFru #dataarchitect Documentation: docs.snowflake.com/en/user-guide/snowflake-copilot Be a Guest: www.demohub.dev/demohub-guest/ Discover the ultimate data analysis companion with Snowflake Copilot! 🚀 In this tutorial, we'll unveil the secrets behind Snowflake's AI-powered assistant, designed to streamline your data analysis workfl...
Snowflake Cortex LLM Tutorial: Unleash the Power of Large Language Models in Snowflake | DemoHub.dev
Переглядів 1,2 тис.6 місяців тому
#Demohub.dev #ModernDataStack #FruTech.io #TechWithFru #SnowflakeFru #DataArchitect In this video, we'll dive into Snowflake Cortex LLM, a powerful tool for working with text data in Snowflake. We'll guide you through using LLM functions for tasks like summarization, sentiment analysis, and more. Whether you're new to Snowflake or an experienced user, this tutorial will equip you to unlock the ...
EXECUTE IMMEDIATE FROM Command To Execute Statements in a File From Snowflake Sessions | Demohub.dev
Переглядів 39410 місяців тому
EXECUTE IMMEDIATE FROM Command To Execute Statements in a File From Snowflake Sessions | Demohub.dev
File Upload Functionality: Create a Table When Loading a File Snowflake Snowsight UI | Demohub.dev
Переглядів 33010 місяців тому
File Upload Functionality: Create a Table When Loading a File Snowflake Snowsight UI | Demohub.dev
Snowpark External Network Access (Demo Integrating with ChatGPT API) #LLM | DemoHub.dev
Переглядів 37911 місяців тому
Snowpark External Network Access (Demo Integrating with ChatGPT API) #LLM | DemoHub.dev
Configuring a Snowflake Storage Integration to Access Amazon AWS S3 | DemoHub.dev
Переглядів 329Рік тому
Configuring a Snowflake Storage Integration to Access Amazon AWS S3 | DemoHub.dev
SnowSQL and Snowflake VS Code Extension: Perfecting the Configurations for Snowflake | DemoHub.dev
Переглядів 800Рік тому
SnowSQL and Snowflake VS Code Extension: Perfecting the Configurations for Snowflake | DemoHub.dev
Snowflake's Table Types Demystified - Permanent, Transient, Temporary, Dynamic, External | DemoHub
Переглядів 370Рік тому
Snowflake's Table Types Demystified - Permanent, Transient, Temporary, Dynamic, External | DemoHub
Mastering Snowflake SnowSQL CLI on macOS: Installation, Configuration & Querying #2023 | Demohub.dev
Переглядів 1 тис.Рік тому
Mastering Snowflake SnowSQL CLI on macOS: Installation, Configuration & Querying #2023 | Demohub.dev
DemoHub // How to Install Homebrew on Apple M2 Macs For Data Analytics, AI & ML [2023] | DemoHub.dev
Переглядів 3,3 тис.Рік тому
DemoHub // How to Install Homebrew on Apple M2 Macs For Data Analytics, AI & ML [2023] | DemoHub.dev
#Ep1 Snowflake SQL Delights: 5 Cool Functions Every Analyst & Engineer Should Know + Bonus | DemoHub
Переглядів 216Рік тому
#Ep1 Snowflake SQL Delights: 5 Cool Functions Every Analyst & Engineer Should Know Bonus | DemoHub
LLM Demo: How to Download LLama 2 - The Next-Gen AI Model From Facebook, Meta | DemoHub.dev
Переглядів 833Рік тому
LLM Demo: How to Download LLama 2 - The Next-Gen AI Model From Facebook, Meta | DemoHub.dev
Snowflake Demo: Build an LLM-powered Chatbot in Streamlit on your Snowflake Data "Frosty" | DemoHub
Переглядів 1,3 тис.Рік тому
Snowflake Demo: Build an LLM-powered Chatbot in Streamlit on your Snowflake Data "Frosty" | DemoHub
Snowflake Demo: GROUP BY ALL in Snowflake: What Is It and How Do You Use It? | DemoHub
Переглядів 340Рік тому
Snowflake Demo: GROUP BY ALL in Snowflake: What Is It and How Do You Use It? | DemoHub
Snowpark Demo // Importing Custom Wheel (.whl) Into Snowpark Session (wheel_loader.py)| Demohub.dev
Переглядів 413Рік тому
Snowpark Demo // Importing Custom Wheel (.whl) Into Snowpark Session (wheel_loader.py)| Demohub.dev
Sematic.Dev Demo // Modern Open-source Orchestrator For ML Teams (i.e Airflow for ML) | Demohub.dev
Переглядів 703Рік тому
Sematic.Dev Demo // Modern Open-source Orchestrator For ML Teams (i.e Airflow for ML) | Demohub.dev
Datacoves Demo // Turnkey DataOps Platform That Makes Data-Driven Decisions Easy | Demohub.dev
Переглядів 678Рік тому
Datacoves Demo // Turnkey DataOps Platform That Makes Data-Driven Decisions Easy | Demohub.dev
@amphi-ai : where do we find the documentation?
.
I have multiple sql queries and one query output is used by another and so on. I want to see all decencies i.e, if content of tbl 2 changes then what all queries must run! Do you have any such dependencies discovery feature (not sure if column lineage can be utilised here!?)
Thank you for having me! Don't hesitate to reach out if you have any questions :)
video quality is bad, i can barely see the demo
Thanks for watching. Apologies for that due to recording software. If possible, would encourage you to install and give it a try to see.
@@demohub + video quality is bad :/ why u dont use obs or anything else ?
Great video, thank you! 💯
For this specific Demo, did i hear you say the generic data used to train the small model you created (llama3_8b) are coming from the client's SAP Manufacturing System? This is the exact usecase I am looking for. I may be bouncing som questions off you as i walk through these exercises. Thanks
Thanks for watching
@@demohub I am really interested in learning and using Cortex LLM. Is there training sessions/literature you can recommend?
You published something with the data/displays overlapping each other to the point where it is unable to be read?
Thank you so much. It WORKED mate!
Thanks for watching
What is the best option between Git repo Vs Schema Change to perform CI/ CD code deployment and maintain dev/qa/prod environments?
Video is great! I tried accesing you Tutorial Script, but it says the page doesn't exist. Is that an error on my side, or is the URL incorrect?
Sorry. Which specific url is this? It should exists. And thanks for watching.
@@demohubthe first link in the video description, the tutorial link
@@sanjaygoopta try this: tutorials.demohub.dev/demo/snowflake-document-ai-(docai)
I am new to snowpark. However I am unable to understand 2:12 please link the video which helps to do the setting
Judging by what you have shown, it doesn't even beat GPT-3.5. Looks like nothing more than a gimmick.
@@Tomas-ir8xl thanks
How to enable the Snowflake.cortex.embed_text768
I’m getting the error Unkown user-define function
Very strange!
@@devaredmi thanks
I am getting this error- Configuration paths exist in your dbt_project.yml file which do not apply to any resources. There are 1 unused configuration paths:
how to use SQL in notebook using data spell
Very good clear demo on S3 Integration, Thank you. My next challenge is, "Does S3 integration work with unstructured files located in S3"?
Thank you
Very helpful, thanks Fru!
Thank you
Really good presentation 👏, this is my first time hearing if trust center. I have just been given the task to fix all violations and i have no clue wat to do
Thanks for watching
What is the difference between policy and projection policy?
Excellent, thanks for this content. Q's 1. In procedures you are importing snowpark, generater .... When create a procedure and calling it, every time it might be importing the libraries. Is that ok, or any other way to avoid this mutiple iterative imports.
Thank you
This has helped me greatly, thank you!
Thank you
Kindly share recourses and library dependencies you added under build.sbt
This was a great explanation. Thank you!
thank you for your video
Well explained, thank you
Great job by DemoHub team. This video very informative on cortex. How can I get that data set for sentiments analysis?
Thanks for watching
I am new to snowpark, and this is the best hello world for snowpark. Well done!
Thanks for watching
nice content, very useful, thanks
Thank you
why no one talk about set up to use this cortex function? iam getting this error Unknown user-defined function SNOWFLAKE.CORTEX.COMPLETE
Whats the advantage to use python instead SQL to generate the datasets? Is there a way to use DataRobot within snowpark?
Thanks
what if im trying to connect with an sso account?
clear and crisp content, thank you
For those of you having issue with the audio, I have a small fix for windows 11 (reversible). Search for mono audio in the search box of taskbar. Toggle it to on. Enjoy the video. Revert it back after if you wish.
good one!
Would this be equivalent to the jsonb_array_elements function in postgresql or does lateral flatten have any advantages over it ?
Very detailed video...clear explanation.. Tks for making this. 🙏
You are welcome
Thanks from India 😊
Good idea thank you
hi a little question here can i let the edr show the pk at top 1 column? i mean the vid show the pk at top1 but in video the pk at the end column?
can it fetch correct column name just by writing relevant close enough name in text?
Great content thank you
Thank you
Great Video! can you make a video a video on how you can get a preset URL when using the directory stage, thanks in advance! :)
This insight is golden 🎉
Thank you
Hi. My promt on Promptbase account has been pending without approval for the last 2 months now. I have tried to reach out to their support team but no response. Please any idea on why the prompts are neither approved nor declined? Thank you sir.
Very clear instructions and helpful !
Nice explanation!
great explanation! Thanks, mate