Sat.Jun 21, 2025 - Fri.Jun 27, 2025

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On time with data engineering systems - timeline of the data

Waitingforcode

Timely and accurate data is a Holy Grail for each data practitioner. To make it real, data engineers have to be careful about the transformations they make before exposing the dataset to consumers, but they also need to understand the timeline of the data.

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10 FREE AI Tools That’ll Save You 10+ Hours a Week

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 10 FREE AI Tools That’ll Save You 10+ Hours a Week No tech skills needed. Just tools that work, free to use, and actually helpful in your daily work life.

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Data federation: Understanding what it is and how it works

RudderStack

🚀 Feature Launch: Get your customer data into Snowflake faster with Snowflake Streaming Learn how Products Solutions Integrations Docs Resources Pricing Log In Request a demo Request a demo Blog Data federation: Understanding what it is and how it works BLOG Data Integration Data federation: Understanding what it is and how it works Danika Rockett Sr.

IT 59
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Scaling Pinterest ML Infrastructure with Ray: From Training to End-to-End ML Pipelines

Pinterest Engineering

Andrew Yu Staff Software Engineer / Jiahuan Liu Staff Software Engineer / Qingxian Lai Staff Software Engineer / Kritarth Anand Staff Software Engineer 1. Introduction: Expanding Ray Beyond Training & Inference At Pinterest, ML engineers continuously strive to optimize feature development, sampling strategies, and label experimentation. However, the traditional ML infrastructure was constrained by slow data pipelines, costly feature iterations, and inefficient compute usage.

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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.

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Build a Data Cleaning & Validation Pipeline in Under 50 Lines of Python

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 Build a Data Cleaning & Validation Pipeline in Under 50 Lines of Python Clean and validate messy data with a compact Python pipeline that fits into any workflow.

Python 102
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Data Silos: What They Are and How to Break Free of Them

Striim

It’s an all-too-familiar story. An internal team, fired up by the potential of becoming a data-driven department, invests in a new tool. Excited, they begin installing the platform and collecting data. Other departments aren’t even aware of the new venture. Over time, the team runs into problems. They can’t integrate their data with their front-line sales teams.

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The new dbt VS Code extension: The experience we've all been waiting for

dbt Developer Hub

Hello, community! My name is Bruno, and you might have seen me posting dbt content on LinkedIn. If you haven't, let me introduce myself. I started working with dbt more than 3 years ago. At that time, I was very new to the tool, and to understand it a bit better, I started creating some resources to help me with dbt learning. One of them, a dbt cheatsheet, was the starting point for my community journey.

Coding 52
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MLFlow Mastery: A Complete Guide to Experiment Tracking and Model Management

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 MLFlow Mastery: A Complete Guide to Experiment Tracking and Model Management MLFlow is a tool that helps you manage machine learning projects.

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Lidar derived high resolution data updates to Living Atlas World Elevation Layers (June 2025)

ArcGIS

ArcGIS Blog Menu Overview Topics Search ArcGIS Blog ArcGIS Blog Announcements ArcGIS Living Atlas Jun 24, 2025 Lidar derived high resolution data updates to Living Atlas World Elevation Layers (June 2025) By Rajinder Nagi ArcGIS Living Atlas of the World provides foundation elevation layers and tools to support analysis and visualization across the ArcGIS system.

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Snowflake Startup Spotlight: Jedify

Snowflake

Welcome to Snowflake’s Startup Spotlight, where we ask startup founders about the problems they’re solving, the apps they’re building and the lessons they’ve learned during their startup journey. In this edition, meet Assaf Henkin, the founder of Jedify , and see how the company is addressing the challenge of growing data complexity by making AI-powered data intelligence accessible and scalable.

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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.

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Accelerating Provider MDM in Healthcare with Databricks and AI

databricks

Healthcare operations and patient care depends on accurate, complete, and unified data.

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How to Combine Streamlit, Pandas, and Plotly for Interactive Data Apps

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 Combine Streamlit, Pandas, and Plotly for Interactive Data Apps With just two Python files and a handful of methods, you can build a complete dashboard that rivals expensive business intelligence tools.

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Mapping mangrove dynamics with raster functions in Map Viewer

ArcGIS

ArcGIS Blog Menu Overview Topics Search ArcGIS Blog ArcGIS Blog Imagery & Remote Sensing ArcGIS Online Jun 27, 2025 Mapping mangrove dynamics with raster functions in Map Viewer By Sucheta Bhattacharjee and Ling Tang Mapping mangrove dynamics is critical for understanding the health and resilience of these unique ecosystems. Mangroves provide invaluable ecosystem services such as carbon sequestration, coastal protection from storm surges, and habitat for diverse species.

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Change Take More Than A Megaphone: Communicate, Experiment And Educate To Drive Transformation

Snowflake

AI is the tip of the iceberg — what we read in the news, see on billboards and hear in the boardroom and from employees. But that’s only the part that’s above the surface. The real challenge is navigating what lies below. According to BCG, top-performing organizations recognize the iceberg. They follow the 10-20-70 principle , dedicating 10% of their efforts to algorithms; 20% to data and technology; and 70% to people, processes and cultural transformation.

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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.

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Data Engineering Weekly #225

Data Engineering Weekly

The Data Platform Fundamentals Guide A comprehensive guide for data platform owners looking to build a stable and scalable data platform, starting with the fundamentals and wrapping up with real-world examples illustrating how teams have built in-house data platforms for their businesses. Get the full guide Uber: The Evolution of Uber’s Search Platform Uber writes about the evolution of its search infrastructure from Elasticsearch to the in-house Sia engine, which was built to support NRT

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Automate Data Quality Reports with n8n: From CSV to Professional Analysis

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 Automate Data Quality Reports with n8n: From CSV to Professional Analysis Analyze any CSV dataset from a URL and generate professional quality reports with n8n By Vinod Chugani on June 26, 2025 in Data Science Image by Author | ChatGPT The Data Quali

Datasets 106
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Developer Summit at UC 2025

ArcGIS

ArcGIS Blog Menu Overview Topics Search ArcGIS Blog ArcGIS Blog Developers ArcGIS Experience Builder Jun 23, 2025 Developer Summit at UC 2025 By Amy Niessen Developer Summit (DevSummit) at UC The Esri DevSummit at UC will be taking place on Wednesday, July 16 th. The event starts with a general session in the morning, break for lunch, and resumes with developer-focused sessions in the afternoon.

Python 67
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Monte Carlo Recognized as the #1 Data Observability Platform by G2 for 8th Consecutive Quarter

Monte Carlo

This summer, we’re celebrating eight straight quarters as G2’s #1 Data Observability Platform — and just crossed over 400 customer reviews on G2. This feels like a pretty big milestone because G2 recognition comes directly from the people actually using our platform day in and day out. These aren’t analyst opinions or marketing fluff — these are real data teams telling us whether the Monte Carlo platform actually helps them sleep better at night (spoiler: they say it does).

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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

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Want to deliver value? Focus on flow by Nick Hume

Scott Logic

In simple terms, a process that’s becoming more efficient might be defined as one that generates more value without the need for greater effort. However, simplicity is not a defining characteristic of most software development projects, and the more they grow in size and complexity, the more opportunities there are for inefficiencies to creep in. The software development process is relatively easy to conceptualise, and is all too often oversimplified or trivialised, by everyone, from engineering

Project 52
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Building AI Agents with llama.cpp

KDnuggets

This guide will walk you through the entire process of setting up and running a llama.cpp server on your local machine, building a local AI agent, and testing it with a variety of prompts.

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Modernizing XML Processing for Financial Services with Snowflake

Snowflake

Despite the rise of new data formats such as JSON, Avro and Parquet, XML (eXtensible Markup Language) remains a foundational data standard in financial services. From core banking systems built in the 1990s-2000s to modern regulatory reporting, XML is deeply embedded in the industry's operational fabric. Standards like FpML (Financial Products Markup Language) for derivatives, XBRL (eXtensible Business Reporting Language) for regulatory reporting, ISO 20022 for payments and securities, and even

Process 60
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Data pipeline monitoring: Tools and best practices

RudderStack

🚀 Feature Launch: Get your customer data into Snowflake faster with Snowflake Streaming Learn how Products Solutions Integrations Docs Resources Pricing Log In Try for free Try for free Blog Data pipeline monitoring: Tools and best practices BLOG Data Infrastructure Data pipeline monitoring: Tools and best practices Brooks Patterson Head of Product Marketing Get the newsletter Subscribe to get our latest insights and product updates delivered to your inbox once a month Modern organizations rely

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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

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Training 10,000 Anomaly Detection Models on One Billion Records with Explainable Predictions

databricks

The Power of Anomaly Detection Across Industry Anomaly detection is a crucial technique for identifying unusual patterns that could signal potential problems or opportunities.

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

KDnuggets

Here's a roadmap to learning programming for data science, designed for absolute beginners with big ambitions.

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Transform your BIM workflows: Two ways to use Autodesk models in ArcGIS

ArcGIS

ArcGIS Blog Menu Overview Topics Search ArcGIS Blog ArcGIS Blog 3D Visualization & Analytics ArcGIS GeoBIM Jun 26, 2025 Transform your BIM workflows: Two ways to use Autodesk models in ArcGIS By Geoff Cook and Andreas Lippold ArcGIS offers multiple ways to work with building information modeling (BIM) data from Autodesk in geographic information system ( GIS ) workflows.

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ThoughtSpot is a Leader in the next era of Agentic Analytics and BI

ThoughtSpot

For too long, businesses have been adrift in a sea of static dashboards and colorful visualizations, mistaking activity for insight. They call it business intelligence, but in reality, it's just more noise. These legacy dashboards are inherently unintelligent; they might answer your first question, but they immediately force you to create ten more dashboards to get subsequent answers.

BI 52
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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!

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Announcing support for New UC Python UDF Features

databricks

Unity Catalog Python user-defined functions (UC Python UDFs) are increasingly used in modern data warehousing, running millions of queries daily across thousands of organizations.

Python 59
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Make Sense of a 10K+ Line GitHub Repos Without Reading the Code

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 Make Sense of a 10K+ Line GitHub Repos Without Reading the Code No time to read huge GitHub projects?

Coding 69
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Developer Summit at UC 2025

ArcGIS

ArcGIS Blog Menu Overview Topics Search ArcGIS Blog ArcGIS Blog Developers Developers Jun 23, 2025 Developer Summit at UC 2025 By Amy Niessen Developer Summit (DevSummit) at UC The Esri DevSummit at UC will be taking place on Wednesday, July 16 th. The event starts with a general session in the morning, break for lunch, and resumes with developer-focused sessions in the afternoon.

Python 57
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How Enterprises Can Leverage Striim & TCS to Drive AI-Driven Analytics and Cloud Adoption

Striim

Technical reference architecture developed by Striim and Tata Consultancy Services (TCS) for technical leaders addressing the operational and architectural challenges of enterprise AI adoption

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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