Sat.Mar 01, 2025 - Fri.Mar 07, 2025

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10 Python One-Liners for Scikit-learn

KDnuggets

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

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What Is a Denial of Service (DoS) Attack?

Edureka

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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Is Apache Iceberg the New Hadoop? Navigating the Complexities of Modern Data Lakehouses

Data Engineering Weekly

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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File trigger in Databricks

Waitingforcode

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.

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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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5 Free Data Engineering Courses

KDnuggets

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.

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Building Your Utility Network

ArcGIS

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

Utilities 108

More Trending

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Responsible Artificial Intelligence (RAI) Intro and an Example Issue: Outliers

Elder Research

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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How to Manage Upstream Schema Changes in Data Driven Fast Moving Company

Start Data Engineering

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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2026 Will Be The Year of Data + AI Observability

Monte Carlo

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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LLMs Don’t Know What They Don’t Know—And That’s a Problem by Colin Eberhardt

Scott Logic

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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Apache Airflow® 101 Essential Tips for Beginners

Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.

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A case for QLC SSDs in the data center

Engineering at Meta

The growth of data and need for increased power efficiency are leading to innovative storage solutions. HDDs have been growing in density, but not performance, and TLC flash remains at a price point that is restrictive for scaling. QLC technology addresses these challenges by forming a middle tier between HDDs and TLC SSDs. QLC provides higher density, improved power efficiency, and better cost than existing TLC SSDs.

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Getting Started with Apache Arrow

Analytics Vidhya

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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Apache XTable. Delta vs Iceberg vs Hudi.

Confessions of a Data Guy

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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Precisely Women in Technology: Meet Sravani

Precisely

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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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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Building multimodal AI for Ray-Ban Meta glasses

Engineering at Meta

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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Data Engineering Weekly #210

Data Engineering Weekly

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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dbt on Databricks.

Confessions of a Data Guy

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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Masking in SF Without Hardcoded Roles: Including ARRAY cols

Cloudyard

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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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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Data and Process Automation Adoption: Challenges, Maturity, and Business Impact

Precisely

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.

Process 59
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Scale Unstructured Text Analytics with Batch LLM Inference

Snowflake

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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Python Tooling Beyond Pandas: Libraries to Broaden Your Data Science Toolkit

KDnuggets

Pandas alternative libraries that you might not know before.

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Announcing Automatic Liquid Clustering

databricks

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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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Data Analytics vs. Business Analytics vs. Business Intelligence: What’s the Difference?

WeCloudData

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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How to Create a 3D Map of a Wildfire

ArcGIS

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

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Big Gains with Hugging Face’s smolagents

KDnuggets

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

Utilities 115
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Announcing Databricks’ Offer for Games Startups

databricks

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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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What is Computer Vision

WeCloudData

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.

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Flink AI: Hands-On FEDERATED_SEARCH()—Search a Vector Database with Confluent Cloud for Apache Flink®

Confluent

Combining Flink's ML_PREDICT() and FEDERATED_SEARCH() functions gives you a toolset to add natural-language queryable, domain-specific content to your Confluent AI workflow.

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The Ultimate Guide to Building a Machine Learning Portfolio That Lands Jobs

KDnuggets

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

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Crafting the Perfect Fit: Map Design Workflows for Publications

ArcGIS

Four easy steps for making maps in Adobe Illustrator with Esri's ArcGIS Pro-to-Maps for Adobe workflow, focusing on national park map examples

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Apache Airflow® Crash Course: From 0 to Running your Pipeline in the Cloud

With over 30 million monthly downloads, Apache Airflow is the tool of choice for programmatically authoring, scheduling, and monitoring data pipelines. Airflow enables you to define workflows as Python code, allowing for dynamic and scalable pipelines suitable to any use case from ETL/ELT to running ML/AI operations in production. This introductory tutorial provides a crash course for writing and deploying your first Airflow pipeline.