Sat.Jun 07, 2025 - Fri.Jun 13, 2025

article thumbnail

7 Python Errors That Are Actually Features

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 7 Python Errors That Are Actually Features You never expected these Python errors to help your work, but they do!

Python 86
article thumbnail

Build Better Data Pipelines with SQL and Python in Snowflake

Snowflake

Data transformations are the engine room of modern data operations — powering innovations in AI, analytics and applications. As the core building blocks of any effective data strategy, these transformations are crucial for constructing robust and scalable data pipelines. Today, we're excited to announce the latest product advancements in Snowflake to build and orchestrate data pipelines.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Data Observability vs. Monitoring: What’s the Difference, Really?

Monte Carlo

Data engineering is full of buzzwords—data mesh, reverse ETL, lakehouse, you name it. It’s easy to tune them out. So when someone drops “data observability,” it’s fair to ask: what’s data observability vs. monitoring? If you’ve ever wrestled with broken dashboards, missing data, or a pipeline that quietly failed overnight, you know how frustrating it is to figure out what went wrong.

Data 52
article thumbnail

Using Joins and Group Bys the right way for data warehousing

Start Data Engineering

1. Introduction 2. Joins & Group bys are two of the most commonly used operations in data warehousing 2.1. Joins are used to create denormalized dimension tables & to enrich fact tables with dimensions for reporting 2.1.1. When to use joins 2.1.2. How to use joins 2.1.3. Things to watch out for when joining 2.2. Group bys are the cornerstone of reporting 2.

Data 130
article thumbnail

Whats New in Apache Airflow 3.0 –– And How Will It Reshape Your Data Workflows?

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

article thumbnail

Why You Need RAG to Stay Relevant as a Data Scientist

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Why You Need RAG to Stay Relevant as a Data Scientist How retrieval-augmented generation (RAG) reduces LLM costs, minimises hallucinations, and keeps you employable in the age of AI.

article thumbnail

What Is a Lakebase?

databricks

Skip to main content Login Why Databricks Discover For Executives For Startups Lakehouse Architecture Mosaic Research Customers Customer Stories Partners Cloud Providers Databricks on AWS, Azure, GCP, and SAP Consulting & System Integrators Experts to build, deploy and migrate to Databricks Technology Partners Connect your existing tools to your Lakehouse C&SI Partner Program Build, deploy or migrate to the Lakehouse Data Partners Access the ecosystem of data consumers Partner Solutions

More Trending

article thumbnail

Selling Your Side Project? 10 Marketplaces Data Scientists Need to Know

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Selling Your Side Project? 10 Marketplaces Data Scientists Need to Know That app collecting dust on your GitHub?

Project 79
article thumbnail

Agentic AI: The Future of Autonomous Intelligence is Here

RandomTrees

Agentic AI” refers to AI systems that can autonomously plan, reason, and take actions to achieve goals — much like agents. This is a fast-emerging area in AI, blending large language models (LLMs) with autonomous behaviour. What Is Agentic AI? Agentic AI refers to AI systems that go beyond passive responses. These systems can: Understand goals Plan multi-step tasks Interact with tools and data Take autonomous action Here are key topics and offerings around Agentic A

Media 52
article thumbnail

Rethinking AI in Retail Operations

Retail Insight

Retailers are investing billions in AI, but shop floor execution still lags. Discover why a shelf-up, human-led approach is key to real in-store results.

Retail 52
article thumbnail

Builder.ai did not “fake AI with 700 engineers”

The Pragmatic Engineer

Originally published in The Pragmatic Engineer Newsletter. An eye-catching detail widely reported by media and on social media about the bankrupt business Builder.ai last week, was that the company faked AI with 700 engineers in India: “Microsoft-backed AI startup chatbots revealed to be human employees” – Mashable “Builder.ai used 700 engineers in India for coding work it marketed as AI-powered” – MSN “Builder.ai faked AI with 700 engineers, now

article thumbnail

What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

article thumbnail

Introducing Agent Bricks: Auto-Optimized Agents Using Your Data

databricks

Skip to main content Login Why Databricks Discover For Executives For Startups Lakehouse Architecture Mosaic Research Customers Customer Stories Partners Cloud Providers Databricks on AWS, Azure, GCP, and SAP Consulting & System Integrators Experts to build, deploy and migrate to Databricks Technology Partners Connect your existing tools to your Lakehouse C&SI Partner Program Build, deploy or migrate to the Lakehouse Data Partners Access the ecosystem of data consumers Partner Solutions

article thumbnail

Lateral column aliases in Apache Spark SQL

Waitingforcode

It's the second blog post about laterals in Apache Spark SQL. Previously you discovered how to combine queries with lateral subquery and lateral views. Now it's time to see a more local feature, lateral column aliases.

SQL 130
article thumbnail

Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale Publicly available datasets in recommender research currently shaping the field.

Datasets 121
article thumbnail

Apache Iceberg v3 Table Spec: Celebrating the OSS Community’s Shared Success

Snowflake

The Apache Iceberg™ project exemplifies the spirit of open source and shows what’s possible when a community comes together with a common goal: to drive a technology forward. With a mission to bring reliability, performance and openness to large-scale analytics, the Iceberg project continues to evolve and offer many benefits thanks to the diverse voices and efforts of its contributors.

article thumbnail

Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

article thumbnail

Announcing Lakeflow Designer: No-Code ETL, Powered by the Databricks Intelligence Platform

databricks

We’re excited to announce Lakeflow Designer, an AI-powered, no-code pipeline builder that is fully integrated with the Databricks Data Intelligence Platform.

Designing 125
article thumbnail

Discover the Unexpected with the Anomaly Detection Wizard in ArcGIS Pro

ArcGIS

The Anomaly Detection Wizard in ArcGIS Pro makes your image anomaly detection workflow easier.

107
107
article thumbnail

AI Agents in Analytics Workflows: Too Early or Already Behind?

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter AI Agents in Analytics Workflows: Too Early or Already Behind? A look at how AI agents are reshaping the data analytics workflow and whether you’re ahead or behind the curve.

article thumbnail

Snowflake Achieves Prestigious ISO/IEC/IEC 42001 Certification, Demonstrating Commitment to Responsible AI Practices

Snowflake

As a leader in AI and data, Snowflake is dedicated to ensuring that our artificial intelligence practices are not only effective but also ethical, responsible and transparent. That's why we're proud to announce that we've been awarded the ISO/IEC/IEC* 42001 certification. This prestigious international standard recognizes our commitment to establishing, implementing, maintaining and continually improving a structured framework that helps organizations responsibly and effectively manage the devel

article thumbnail

How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

article thumbnail

Announcing General Availability of Databricks Apps

databricks

We’re excited to announce the General Availability of Databricks Apps, enabling customers to securely build, deploy, and scale interactive data and AI-powered applications natively on

Building 113
article thumbnail

From AI Chaos to Control: A Flexible Data Integrity Ecosystem

Precisely

If you’re leading any kind of AI initiative right now, you already know the opportunities are vast – but so is the complexity. Between widespread generative AI adoption, a wide variety of LLM options, and compelling visions of agentic AI-fueled automation, the pace of innovation is extraordinary. But the fact is this: we won’t get the most from our AI initiatives unless we have full control: control over the technologies we use, how we use them, where, and – most importantly – the data tha

article thumbnail

Automating GitHub Workflows with Claude 4

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Automating GitHub Workflows with Claude 4 Learn how to set up the Claude App in your GitHub repository and invoke it directly through comments.

article thumbnail

Snowflake Postgres: Built for Developers, Ready for the Enterprise

Snowflake

PostgreSQL has become the undisputed choice for developers worldwide, celebrated for its open source flexibility, vibrant ecosystem and growing AI capabilities like vector support. But as companies race to build the next generation of AI agents and scale their critical operational systems, a fundamental question emerges: Is your Postgres truly ready for the enterprise, or does it come with hidden compromises?

article thumbnail

A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

article thumbnail

Mosaic AI Announcements at Data + AI Summit 2025

databricks

Skip to main content Login Why Databricks Discover For Executives For Startups Lakehouse Architecture Mosaic Research Customers Customer Stories Partners Cloud Providers Databricks on AWS, Azure, GCP, and SAP Consulting & System Integrators Experts to build, deploy and migrate to Databricks Technology Partners Connect your existing tools to your Lakehouse C&SI Partner Program Build, deploy or migrate to the Lakehouse Data Partners Access the ecosystem of data consumers Partner Solutions

article thumbnail

Accelerate AI and Analytics with these 4 New Enhancements in the Precisely Data Integrity Suite

Precisely

Key takeaways: New Data Integrity Suite innovations include AI-powered data quality, and new data observability, lineage, location intelligence, and enrichment capabilities. These enhancements help you scale data quality for AI, boost visibility across hybrid data environments, and embed trusted location data into critical workflows. The Suite ensures you’re able to reduce risk, drive innovation, and maintain a competitive edge.

article thumbnail

Integrating DuckDB & Python: An Analytics Guide

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Integrating DuckDB & Python: An Analytics Guide Learn how to run lightning-fast SQL queries on local files with ease.

Python 107
article thumbnail

Snowflake at Cannes Lions 2025

Snowflake

Snow is coming to Cannes, France! Snowflake is back again at the Cannes Lions International Festival of Creativity on June 16-20, 2025. As the premiere media and entertainment industry event of the year, Cannes brings together creative legends, marketing luminaries and cutting-edge content creators from around the world to shine a light on the latest trends and bring to the forefront ideas and critical topics shaping the future of the industry.

Media 73
article thumbnail

Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

article thumbnail

Introducing Databricks One

databricks

Skip to main content Login Why Databricks Discover For Executives For Startups Lakehouse Architecture Mosaic Research Customers Customer Stories Partners Cloud Providers Databricks on AWS, Azure, GCP, and SAP Consulting & System Integrators Experts to build, deploy and migrate to Databricks Technology Partners Connect your existing tools to your Lakehouse C&SI Partner Program Build, deploy or migrate to the Lakehouse Data Partners Access the ecosystem of data consumers Partner Solutions

BI 115
article thumbnail

Manage geodatabase upgrades in a service-based architecture

ArcGIS

Learn how to manage enterprise geodatabase upgrades in ArcGIS service-based architectures. Understand when upgrades are needed, which client to use, and how to apply them using ArcGIS Pro or ArcGIS Enterprise.

article thumbnail

How to Learn Math for Data Science: A Roadmap for Beginners

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter How to Learn Math for Data Science: A Roadmap for Beginners Confused about where to start with data science math?

article thumbnail

Unlocking Efficient Ad Retrieval: Offline Approximate Nearest Neighbors in Pinterest Ads

Pinterest Engineering

Authors (non-ordered): Qishan(Shanna) Zhu, Chen Hu Acknowledgements: Longyu Zhao, Jacob Gao, Quannan Li, Dinesh Govindaraj Introduction In the evolving landscape of advertising, the demand for real-time personalization and dynamic ad delivery has made Online Approximate Nearest Neighbors (ANN) a mainstream method for ad retrieval. Pinterest primarily employs online ANN to swiftly adapt to users’ behavior changes (depending on their age, location and privacy settings), thereby enhancing ad respon

article thumbnail

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