May, 2025

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Why Modern Data Engineering is the Backbone of AI-Driven Businesses

RandomTrees

The introduction of artificial intelligence technology is revolutionizing how companies do business, increase operations, and compete with one another. This new technology is helping businesses make faster marketing predictions and better manage customer interactions. However, to succeed, AI requires a foundation of reliable and structured data. Modern data engineering can help with this.

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9 Amazing Application of data engineering in real life

Edureka

When you purchase online, do you ever find yourself pondering how your tastes get changed into suggestions for products that are uniquely suited to you? Or how self-driving cars get through very complicated situations with amazing accuracy? These are the ways that data engineering improves our lives in the real world. The field of data engineering turns unstructured data into ideas that can be used to change businesses and our lives.

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4 Data Analytics Project To Impress Your Next Employer

KDnuggets

Add these 4 data analytic-based projects to your resume to land your next job.

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Is Your Team in Denial of Data Quality? Here’s How to Tell

DataKitchen

Is Your Team in Denial of Data Quality? Here’s How to Tell In many organizations, data quality problems fester in the shadowsignored, rationalized, or swept aside with confident-sounding statements that mask a deeper dysfunction. While the cost of poor data quality is well-documentedwasted time, lost trust, and flawed decisionsteams often operate in collective denial.

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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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Data Engineering for Predicting Future Events

ArcGIS

Learn how to prepare your data to perform time-to-event predictions in ArcGIS Pro 3.

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Sol Rashidi on Why Most AI Strategies Fail—and What Great Data Leaders Get Right

Striim

Get More Insights In Your Inbox Sol Rashidi has built AI, data, and digital strategies inside some of the worlds biggest companiesand shes seen the same mistakes play out again and again. In this episode, she unpacks why AI initiatives often stall, how executives misread what transformation really requires, and why the future of AI success isnt technicalits cultural.

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Tired of Broken Pipelines? Here’s How ETL Orchestration Can Help

Monte Carlo

Alright, so youve got data flying in from all directionsapps, websites, databases, you name itand you need to wrangle it into something clean, useful, and actually understandable. Thats where ETL Orchestration comes in. ETL orchestration is the process of managing and automating the flow of data as its extracted, transformed, and loaded (yep, thats the E.T.L. ) from one place to another.

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Configure, Don't Code: How Declarative Data Stacks Enable Enterprise Scale

Simon Späti

Imagine building enterprise data infrastructure where you write 90% less code but deliver twice the value. This is the promise of declarative data stacks. The open and modern data stack freed us from vendor lock-in, allowing teams to select best-of-breed tools for ingestion, ETL, and orchestration. But this freedom comes at a cost: fragmented governance, security gaps, and potential technical debt when stacking disconnected tools across your organization.

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Leveraging Data Insights to Guide Marketing Strategies

RandomTrees

Introduction In today’s digitally linked world, intuition is no longer sufficient to drive B2B marketing. Data analytics has developed as a critical component of effective marketing strategies, allowing companies to make educated decisions that improve performance and create quantifiable results. With vast amounts of client data available across digital channels, organizations that use data analytics may acquire a significant competitive edge.

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How to Write Efficient Python Code Even If You’re a Beginner

KDnuggets

You dont need to be a Python pro to write fast, clean code. Just a few smart coding habits can go a long way.

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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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Abstracting column access in PySpark with Proxy design pattern

Waitingforcode

One of the biggest changes for PySpark has been the DataFrame API. It greatly reduces the JVM-to-PVM communication overhead and improves the performance. However, it also complexities the code. Probably, some of you have already seen, written, or worked with the code like this.

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Unapologetically Technical Episode 20 – Shane Murray

Jesse Anderson

I n this episode of Unapologetically Technical, I interview Shane Murray, Field CTO at Monte Carlo Data. Shane shares his compelling journey from studying math and finance in Sydney, Australia, to leading AI strategy at a major data observability company in New York. We explore his early work in choice modeling and pioneering online multivariate experimentation long before A/B testing became mainstream, including fascinating examples from cruise lines, American Express, and even cultural surpris

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Introducing Apache Spark 4.0

databricks

Apache Spark 4.0 marks a major milestone in the evolution of the Spark analytics engine.

SQL 136
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Improve your geoprocessing productivity with Append To Existing in ArcGIS Pro (May 2025)

ArcGIS

In ArcGIS Pro 3.5, you can choose between three options to overwrite existing tool data, including appending and replacing data.

Data 97
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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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Enhancing the Python ecosystem with type checking and free threading

Engineering at Meta

Meta and Quantsight have improved key libraries in the Python Ecosystem. There is plenty more to do and we invite the community to help with our efforts. Well look at two key efforts in Pythons packaging ecosystem to make packages faster and easier to use: Unlock performance wins for developers through free-threaded Python where we leverage Python 3.13s support for concurrent programming (made possible by removing the Global Interpreter Lock (GIL)).

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Securing Machine Learning Applications with Authentication and User Management

KDnuggets

A step-by-step guide to securing a FastAPI machine learning applications' endpoints with native authentication and user management.

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Fixrleak: Fixing Java Resource Leaks with GenAI

Uber Engineering

Goodbye resource leaks! Learn how the FixrLeak framework leverages GenAI and AST-level analysis to automatically detect and fix resource leaks in large-scale Java applications at Uber.

Java 72
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Expand to New Regions with Zero Additional Egress Costs

Snowflake

Data providers want their data available to their customers, no matter where in the world or on which cloud service provider the customer is located. However, egress costs can contribute up to 70% of total data transfer costs. Providers have historically had to balance the desire to increase the availability of their data to any relevant Snowflake regions with the need to manage egress costs.

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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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Atlassian + Databricks: Unlocking Data Insights with Delta Sharing

databricks

Atlassian recently partnered with Databricks to power new data sharing capabilities from Atlassian Analytics, using the Delta Sharing protocol.

Data 107
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What’s new for CAD and BIM in the May 2025 release of ArcGIS Pro

ArcGIS

Simplify CAD and BIM integration in ArcGIS Pro 3.5 for model federation and sharing workflows. Bring content into context for analysis and collaboration.

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Extending the Malbec subsea cable to Southern Brazil

Engineering at Meta

Meta is partnering with V.tal to extend the Malbec subsea cable to Porto Alegre, Brazil by 2027. With this new extension, Malbec will become the first subsea cable to land in the state of Rio Grande do Sul, bringing more connectivity to millions of people in Southern Brazil and neighboring countries. Malbec will improve the scale and reliability of digital infrastructure in Porto Alegre, establishing it as a digital hub and improving online experiences across Southern Brazil, Argentina, Chile, P

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10 Free Artificial Intelligence Books For 2025

KDnuggets

Are you eager to enhance your artificial intelligence skills? We've curated a fantastic selection of free AI books to aid your learning journey!

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Automating Customer Data Load with DBT & Snowflake

Cloudyard

Read Time: 3 Minute, 21 Second Snowflake and DBT (Data Build Tool) are two of the most powerful players in the modern data stack. Traditionally, DBT is known for transformations and Snowflake for its cloud-native warehousing. When combined, DBT handles your transformations and Snowflake provides the storage and compute power. This combination streamlines ETL processes, increases flexibility, and reduces manual coding.

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Data Engineering Weekly #221

Data Engineering Weekly

Dagster Components is now here Components provides a modular architecture that enables data practitioners to self-serve while maintaining engineering quality. Built for the AI era, Components offers compartmentalized code units with proper guardrails that prevent "AI slop" while supporting code generation. See how it works in 4 easy steps Onehouse: ClickHouse vs StarRocks vs Presto vs Trino vs Apache Spark™ — Comparing Analytics Engines As we adopt the Lakehouse architecture more and

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Databricks + Neon

databricks

Today, we are excited to announce that we have agreed to acquire Neon, a developer-first, serverless Postgres company.

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What’s new for the ArcGIS Utility Network with the 2025 Network Management Release

ArcGIS

Learn more about exciting new functionality and improvements made to ArcGIS Utility Network with the 2025 Network Management Release.

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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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AI Evaluation in dbt

dbt Developer Hub

The AI revolution is herebut are we ready? Across the world, the excitement around AI is undeniable. Discussions on large language models, agentic workflows, and how AI is set to transform every industry abound, yet real-world use cases of AI in production remain few and far between. A common issue blocking people from moving AI use cases to production is an ability to evaluate the validity of AI responses in a systematic and well governed way.

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10 Essential Linux File System Commands for Data Management

KDnuggets

In this article, you'll master 10 essential Linux file system commands. This guide provides helpful examples to make working with files easier.

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Data Link for Dun & Bradstreet is a Game-Changer: Here’s Why

Precisely

Earlier this year, Precisely announced Data Link : an ecosystem of pre-linked datasets from leading data providers. And now, I get to say that Dun & Bradstreet , a leading global provider of business decisioning data and a nalytics , has joined this groundbreaking program. Ive previously shared how Preciselys Data Link program will streamline the biggest challenges that businesses face today when it comes to onboarding and reconciling third-party datasets across multiple providers think com

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Data Engineering Weekly #219

Data Engineering Weekly

Try Apache Airflow® 3 on Astro Airflow 3 is here and has never been easier or more secure. Spin up a new 3.0 deployment on Astro to test DAG versioning, backfills, event-driven scheduling, and more. Get started → Editor’s Note: OpenXData Conference - 2025 - A Free Virtual Event A free virtual event on open data architectures - Iceberg, Hudi, lakehouses, query engines, and more.

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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!