Mon.Apr 07, 2025

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Data Appending vs. Data Enrichment: How to Maximize Data Quality and Insights

Precisely

A former colleague recently asked me to explain my role at Precisely. After my (admittedly lengthy) explanation of what I do as the EVP and GM of our Enrich business, she summarized it in a very succinct, but new way: “Oh, you manage the appending datasets.” That got me thinking. We often use different terms when were talking about the same thing in this case, data appending vs. data enrichment.

Retail 75
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Handling Network Throttling with AWS EC2 at Pinterest

Pinterest Engineering

Jia Zhan, Senior Staff Software Engineer, Pinterest Sachin Holla, Principal Solution Architect, AWS Summary Pinterest is a visual search engine and powers over 550 million monthly active users globally. Pinterests infrastructure runs on AWS and leverages Amazon EC2 instances for its compute fleet. In recent years, while managing Pinterests EC2 infrastructure, particularly for our essential online storage systems, we identified a significant challenge: the lack of clear insights into EC2s network

AWS 57
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Data Science Side Quests: 4 Uncommon Projects to Elevate Your Skills

KDnuggets

Doing data science projects can be demanding, but it doesnt mean it has to be boring. Here are four projects to introduce more fun to your learning and stand out from the masses.

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Snowflake Startup Spotlight: Innova-Q

Snowflake

Welcome to Snowflakes Startup Spotlight, where we learn about amazing companies building businesses on Snowflake. This time, were casting the spotlight on Innova-Q , where the founders are stirring things up in the food and beverage industry. With the power of modern generative AI, theyre improving product safety, streamlining operations and simplifying regulatory compliance.

Food 59
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The Ultimate Guide to Apache Airflow DAGS

With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

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Solving the weekly menu puzzle pt.2: recommendations at Picnic

Picnic Engineering

A little over a year ago, we shared a blog post about our journey to enhance customers meal planning experience with personalized recipe recommendations. We discussed the challenge of finding culinary inspiration when personal preferences arent fully consideredlike encountering that one veggie youd rather avoid. We explained how a system that learns from your tastes and habits could solve this issue, ultimately making the daily task of choosing meals both effortless and inspiring.

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Importance of Column Selection in AI-driven automated insights

ThoughtSpot

Everyone associated with Business Intelligence (BI) applications is talking about their Artificial Intelligence (AI) journey and the integration of AI in analytics. Artificial intelligence encompasses a broad spectrum of categories, including machine learning, natural language processing, computer vision, and automated insights. ThoughtSpot has been a leader in augmented analytics , leveraging AI to automate insights and empower users to make data-driven decisions.

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Snowflakeが注目するスタートアップ企業:Innova-Q

Snowflake

SnowflakeSnowflake Innova-Q 2AI Innova-QCEOVera Petrova Dickinson20 Innova-QCTORishi Dubey Innova-QAIAI AI Innova-Q FDA AI AISnowflakeFDA Snowflake SnowflakeSnowflakeAI Snowflake SnowflakeAI SnowflakeSnowflakeSnowflakeAI Snowflake SnowflakeInnova-Q Snowflake SnowflakeSnowflakeAILLMML SnowflakeSnowflake SnowflakeInnova-Q SnowflakeInnova-QAISnowflake SnowflakeGTMAI Innova-Q2 innovaqual.

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3 Ways to Access Llama 4 for Free

KDnuggets

Experience the state-of-the-art AI models in seconds, effortlessly, and hassle-free.

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RAG vs. CAG: What’s Right for Your AI Strategy?

Monte Carlo

If youve been scrolling through the wide world of AI-related subreddits any time in the last six or months or so, youve likely seen a new acronym frequently popping up: CAG. The [CAG]s outta the bag! Source. No, thats not a typo from someone trying to type RAG. CAG, or cache augmented generation, is an alternative to RAG, or retrieval augmented generation, that bypasses the real-time retrieval that RAG requires.

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Databricks Bengaluru: Scaling Innovation and Building the Future of Data & AI

databricks

At Databricks, we help our customers solve their problems by leveraging data and AI.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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6 ML Orchestration Tools You Need to Know

Monte Carlo

Machine learning (ML) orchestration tools are like the stage managers of your data science production. They dont write the script or act in the play, but without them, everything falls apart: lights dont come on, cues get missed, and suddenly your model is predicting total nonsense. That’s why you need someone calling the shots backstage, and thats exactly what these tools do.

Python 52
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Tiny Computer, Big Headache - Porting Advent of Code to the Pi Pico by Simon Martin

Scott Logic

Why Would I Do This? Initially, my Advent of Code solutions were written in Rust using the standard library, running on a typical desktop or laptop with ample processing power and memory. In January, after Advent of Code had officially completed for the year, I was discussing with my colleague Chris the challenges encountered and whether they were solvable on more constrained hardware.

Coding 52
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Data Masking in Snowflake Using Tags, Policies, and Automation

Cloudyard

Read Time: 4 Minute, 15 Second Data Masking in Snowflake Using Tags, Policies, and Automation: In modern data platforms, data masking and access control are critical pillars of security and compliance especially with sensitive fields like SSNs, email addresses, and financial metrics. In this blog, we explore how to implement a tag-driven masking and row-level security framework in Snowflake.