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Foundational Principles in Data Engineering: Staying Grounded Amidst Tech Trends
As I scroll through social media – LinkedIn, X, Reddit, and even Facebook, I see many posts and advertisements for various solutions in the data space. Some are for entirely new data solutions such as Snowflake, Databricks, and BigQuery. Others are for ETL/ELT tools offering to solve an age-old problem – collecting data in one place. Still,Continue… Read more
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TL;DR Made Easy: Summarizing Web Content with Snowflake and Streamlit
This article discusses leveraging Snowflake’s Cortex to create a Streamlit app that summarizes web content. It outlines prerequisites, importing libraries, inputting the URL, parsing HTML with BeautifulSoup, and using Snowflake to summarize the content. The app is executed and its potential is highlighted. The author offers the complete code on GitHub for exploration. Read more
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Streamlit Power-Up: Advanced Image Display Options for Snowflake Users
Explore advanced image integration in Streamlit for Snowflake. From internal stage setups to external sources like S3, learn to enhance your app’s visuals effortlessly. Read more
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Spicing Up Your Snowflake Data Apps with Custom Images
Add images to your Streamlit in Snowflake app using an external URL or an internal stage. Upload the image to a stage and reference its path in your app. This feature allows you to give your app some character and branding. Read more
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Embracing Change: Transitioning from Hands-On to Strategic Leadership
In a recent leader training, I grappled with the challenge of delegation. It’s tough knowing when to dive into details or trust the team. Reframing my role, listening actively to my team, and setting aside focused ‘tinker time’ have been vital adjustments. Leadership is about experimentation and growth. Read more
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Simplifying AI and ML: Snowflake Cortex Makes it Easy
Summary: Snowflake Cortex, a managed AI and ML service, simplifies AI integration into the Snowflake Platform. With SQL and Python functions, it offers translation, summarization, and predictive analysis. By enabling developers to access large language models, it streamlines AI and machine learning tasks, making it easy to build a Streamlit app within the Snowflake ecosystem. Read more