KDnuggets

MARCH 5, 2025

Stop writing extra code — these 10 one-liners will take care of 80% of your Scikit-Learn tasks!

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Python Coding 130

Edureka

MARCH 5, 2025

In this digital age, it is very important to make sure that networks and systems can still be accessed. But attackers are always testing these limits with Denial of Service attacks, which are attempts to overload systems and slow them down or shut them down completely. This blog goes into detail about what DoS attacks are, how they work, the different types of them, famous cases from history, and the ways you can protect your network.

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Cloud Systems Certification Finance 52

Data Engineering Weekly

MARCH 5, 2025

The modern data stack constantly evolves, with new technologies promising to solve age-old problems like scalability, cost, and data silos. Apache Iceberg, an open table format, has recently generated significant buzz. But is it truly revolutionary, or is it destined to repeat the pitfalls of past solutions like Hadoop? In a recent episode of the Data Engineering Weekly podcast, we delved into this question with Daniel Palma, Head of Marketing at Estuary and a seasoned data engineer with over a

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Hadoop Metadata Data Ingestion Data Governance 57

Waitingforcode

MARCH 5, 2025

For over two years now you can leverage file triggers in Databricks Jobs to start processing as soon as a new file gets written to your storage. The feature looks amazing but hides some implementation challenges that we're going to see in this blog post.

Process 130

Process 130

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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

Data Pipeline

KDnuggets

MARCH 3, 2025

You want to learn data engineering, but dont know where to start? Here are the suggestions of five free online courses, with some additional resources for skill practicing.

Data Engineer 115

Data Engineer Data Engineering Engineering Data 115

ArcGIS

MARCH 3, 2025

Learn the secret of how the Migrate to Utility Network tool migrates any geodatabase to a utility network.

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Utilities Building Data Management Management 108

Elder Research

MARCH 4, 2025

Every stage of an analytics challenge is susceptible to error that can destroy useful results. Responsible AI guards against these hazards.

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Start Data Engineering

MARCH 1, 2025

1. Introduction 2.Strategies for data teams to handle changing schemas 2.1. Meetings are the most straightforward approach 2.2. Upstream dumps data, data team deals with it 2.3. The data team as upstream reviewer leads to issue prevention 2.4. Validating input before processing saves on debug time 3. Conclusion 4. Recommended reading 1. Introduction If you have worked at a company that moves fast (or claims to), you’ve inevitably had to deal with your pipelines breaking because the upstrea

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Data Schemas Management Data Process 130

Monte Carlo

MARCH 3, 2025

GenAI has already made an extraordinary impact on enterprise productivity. Marc Benioff has stated Salesforce will keep its software engineering headcount flat due to a 30% increase in productivity thanks to AI. Users leveraging Microsoft Co-pilot create or edit 10% more documents. But this impact has been evenly distributed. Powerful models are a simple API call away and available to all (as Meta and OpenAI ads make sure to remind us).

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Unstructured Data Data Cloud Computing Banking 52

Scott Logic

MARCH 6, 2025

LLMs are not just limited by hallucinationsthey fundamentally lack awareness of their own capabilities, making them overconfident in executing tasks they dont fully understand. While vibe coding embraces AIs ability to generate quick solutions, true progress lies in models that can acknowledge ambiguity, seek clarification, and recognise when they are out of their depth.

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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.

Data

Analytics Vidhya

MARCH 4, 2025

Data is at the core of everything, from business decisions to machine learning. But processing large-scale data across different systems is often slow. Constant format conversions add processing time and memory overhead. Traditional row-based storage formats struggle to keep up with modern analytics. This leads to slower computations, higher memory usage, and performance bottlenecks.

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Machine Learning Systems Process Data 100

Snowflake

MARCH 6, 2025

Unstructured text is everywhere in business: customer reviews, support tickets, call transcripts, documents. Large language models (LLMs) are transforming how we extract value from this data by running tasks from categorization to summarization and more. While AI has proved that real-time conversations in natural language are possible with LLMs, extracting insights from millions of unstructured data records using these LLMs can be a game changer.

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Unstructured Data Medical Media Data Workflow 97

Confessions of a Data Guy

MARCH 4, 2025

The blog post reviews an Apache Incubating project called Apache XTable, which aims to provide cross-format interoperability among Delta Lake, Apache Hudi, and Apache Iceberg. Below is a concise breakdown from some time I spend playing around this this new tool and some technical observations: 1. What is Apache XTable? Not a New Format: Its […] The post Apache XTable.

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Project Data IT Big Data 100

Zalando Engineering

MARCH 6, 2025

Real-time data access is critical in e-commerce, ensuring accurate pricing and availability. At Zalando, our event-driven architecture for Price and Stock updates became a bottleneck, introducing delays and scaling challenges. This post covers how we redesigned our approach and built a blazingly fast API capable of serving millions of requests per second with single-digit-millisecond latency.

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Algorithm Architecture Transportation Data Ingestion 63

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.

Systems

Engineering at Meta

MARCH 4, 2025

Multimodal AI models capable of processing multiple different types of inputs like speech, text, and images have been transforming user experiences in the wearables space. With our Ray-Ban Meta glasses, multimodal AI helps the glasses see what the wearer is seeing. This means anyone wearing Ray-Ban Meta glasses can ask them questions about what theyre looking at.

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Building Programming Engineering Technology 73

KDnuggets

MARCH 5, 2025

Pandas alternative libraries that you might not know before.

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Data Science Python Data 142

Confessions of a Data Guy

MARCH 4, 2025

Context and Motivation dbt (Data Build Tool): A popular open-source framework that organizes SQL transformations in a modular, version-controlled, and testable way. Databricks: A platform that unifies data engineering and data science pipelines, typically with Spark (PySpark, Scala) or SparkSQL. The post explores whether a Databricks environmentoften used for Lakehouse architecturesbenefits from dbt, especially if […] The post dbt on Databricks. appeared first on Confessions of a Data Guy.

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Scala Data Science SQL Data Engineer 100

Data Engineering Weekly

MARCH 2, 2025

Annual Report: The State of Apache Airflow® 2025 DataOps on Apache Airflow® is powering the future of business – this report reviews responses from 5,000+ data practitioners to reveal how and what’s coming next. Get the report → Editor’s Note: Data Council 2025, Apr 22-24, Oakland, CA Data Council has always been one of my favorite events to connect with and learn from the data engineering community.

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Data Engineer Data Engineering Engineering Datasets 62

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

Manufacturing

Precisely

MARCH 5, 2025

International Women’s Day is March 8 th , and it celebrates the achievements, contributions, and progress of women around the world. In the tech industry, diversity is not just a matter of fairness, but a key driver of innovation. Bringing women into techalong with people from diverse backgroundshelps create solutions that are more inclusive and reflective of the world we live in.

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Technology Computer Science Electronics Certification 59

Cloudyard

MARCH 6, 2025

Read Time: 3 Minute, 37 Second In data-driven enterprises, data security is non-negotiable. Dynamic Masking policies in Snowflake help safeguard sensitive information such as customer emails, payment details, and purchased items. However, a common challenge arises: Hardcoded role names in masking policies make managing access permissions cumbersome.

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Accessible Accessibility Datasets Data Security 52

KDnuggets

MARCH 7, 2025

Utilize the simple yet advance AI agent framework for your works.

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Utilities 122

databricks

MARCH 5, 2025

Were excited to announce the Public Preview of Automatic Liquid Clustering, powered by Predictive Optimization. This feature automatically applies and updates Liquid Clustering columns on.

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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

Data Engineering

Precisely

MARCH 3, 2025

Key Takeaways: Automation adoption is no longer optional especially if your business runs on SAP. You must navigate challenges like complexity, integration, and stakeholder alignment to drive success. The value of automation evolves with maturity from saving time and costs at early stages to enhancing agility, resilience, and competitive advantage at higher levels.

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Process Government Data Finance 59

WeCloudData

MARCH 5, 2025

Everything revolves around data. Organizations use insights extracted from the data to make informed decisions. The modern data world is complicated, as multiple terms or titles are given to distinct roles and purposes. Business Analytics, Data Analytics and Business Intelligence are the terms that are used interchangeably but all of these have their distinct responsibilities […] The post Data Analytics vs.

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Business Intelligence Data Analytics Data 52

KDnuggets

MARCH 4, 2025

In this article, you'll learn how to create a portfolio that stands out.

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Portfolio Machine Learning Building 120

Monte Carlo

MARCH 6, 2025

With their extended partnership, data + AI observability leader and the Data AI Cloud bring reliability to structured and unstructured data pipelines in Snowflake Cortex AI. Announced today, Monte Carlo and Snowflake are delivering end-to-end observability across both structured and unstructured data pipelines powering agentic AI applications in Cortex AI , the AI Data Clouds AI development suite.

Unstructured Data 52

Unstructured Data Data Pipeline Coding Data 52

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!

Data

ArcGIS

MARCH 6, 2025

How to create a 3d map of a wildfire using ArcGIS Pro and other Esri mapping resources

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WeCloudData

MARCH 6, 2025

Have you ever wondered how Snapchat and Instagram face filters track your facial expressions and add fun animations in real-time? Or how does your phones Face ID unlock automatically, even if you change your glasses or hairstyle? Computer Vision is the power behind all of such applications. Computer vision is the field of AI that […] The post What is Computer Vision appeared first on WeCloudData.

Data Science 52

Data Science Data Engineer Data Engineering Engineering 52

KDnuggets

MARCH 7, 2025

Explore how AI agents are transforming industries, from chatbots to autonomous vehicles, and learn what data scientists need to know to implement them effectively.

Systems 115

Systems Data 115

databricks

MARCH 3, 2025

Databricks is excited to announce an expansion to our startup offer, providing game studios access to free credits, expert advice and a data and AI.

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Accessible Accessibility Entertainment Media 95

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

Software Engineer