Trending Articles

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How Netflix Accurately Attributes eBPF Flow Logs

Netflix Tech

By Cheng Xie , Bryan Shultz , and Christine Xu In a previous blog post , we described how Netflix uses eBPF to capture TCP flow logs at scale for enhanced network insights. In this post, we delve deeper into how Netflix solved a core problem: accurately attributing flow IP addresses to workload identities. A BriefRecap FlowExporter is a sidecar that runs alongside all Netflix workloads.

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How to leverage business intelligence in retail industry

InData Labs

The retail sector is among the most competitive markets, making it exceptionally difficult for businesses to not only thrive but even survive. Business intelligence in retail industry can be a colossal game changer for organizations struggling to compete. BI for retail allows companies to leverage Big data analytics and machine learning techniques to extract valuable.

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Why Data Quality Isn’t Worth The Effort: Data Quality Coffee With Uncle Chip

DataKitchen

Why Data Quality Isnt Worth The Effort : Data Quality Coffee With Uncle Chip Data quality has become one of the most discussed challenges in modern data teams, yet it remains one of the most thankless and frustrating responsibilities. In the first of the Data Quality Coffee With Uncle Chip series, he highlights the persistent tension between the need for clean, reliable data and its overwhelming complexity.

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Handling Network Throttling with AWS EC2 at Pinterest

Pinterest Engineering

Jia Zhan, Senior Staff Software Engineer, Pinterest Sachin Holla, Principal Solution Architect, AWS Summary Pinterest is a visual search engine and powers over 550 million monthly active users globally. Pinterests infrastructure runs on AWS and leverages Amazon EC2 instances for its compute fleet. In recent years, while managing Pinterests EC2 infrastructure, particularly for our essential online storage systems, we identified a significant challenge: the lack of clear insights into EC2s network

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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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Data Science Side Quests: 4 Uncommon Projects to Elevate Your Skills

KDnuggets

Doing data science projects can be demanding, but it doesnt mean it has to be boring. Here are four projects to introduce more fun to your learning and stand out from the masses.

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8 Takeaways from Snowflake’s Accelerate Events for Retail, CPG and Media

Snowflake

Organizations across industries are achieving unprecedented efficiency and scale along with robust compliance by using data and AI. At Snowflakes most recent virtual events for industries, Accelerate Retail & Consumer Goods , in partnership with Microsoft, and Accelerate Advertising, Media & Entertainment , attendees heard how industry leaders are accelerating innovation, business insights, customer experience and more with robust enterprise AI and data strategies.

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Data quality on Databricks - Delta Live Tables

Waitingforcode

Data quality is one of the key factors of a successful data project. Without a good quality, even the most advanced engineering or analytics work will not be trusted, therefore, not used. Unfortunately, data quality controls are very often considered as a work item to implement in the end, which sometimes translates to never.

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Data Engineering Weekly #215

Data Engineering Weekly

Introducing Apache Airflow® 3.0 Be among the first to see Airflow 3.0 in action and get your questions answered directly by the Astronomer team. You won't want to miss this live event on April 23rd! Save Your Spot → Thoughtworks: Macro trends in the tech industry That raises an important question: not whether AI becomes foundational infrastructure, but how we prepare for that without getting caught flat-footed.

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Data Classification: A Step-by-Step Guide

Monte Carlo

Data classification is about putting things in the right place based on how sensitive or important they are. Think of it like sorting your inbox: there’s spam, random newsletters, personal messages, and those critical project updates that require immediate attention. In practical terms, this means creating a system where everyone in your organization understands what data they’re handling and how to treat it appropriately, with safeguards if someone accidentally tries to mishandle se

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Snowflake Startup Spotlight: Innova-Q

Snowflake

Welcome to Snowflakes Startup Spotlight, where we learn about amazing companies building businesses on Snowflake. This time, were casting the spotlight on Innova-Q , where the founders are stirring things up in the food and beverage industry. With the power of modern generative AI, theyre improving product safety, streamlining operations and simplifying regulatory compliance.

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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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Solving the weekly menu puzzle pt.2: recommendations at Picnic

Picnic Engineering

A little over a year ago, we shared a blog post about our journey to enhance customers meal planning experience with personalized recipe recommendations. We discussed the challenge of finding culinary inspiration when personal preferences arent fully consideredlike encountering that one veggie youd rather avoid. We explained how a system that learns from your tastes and habits could solve this issue, ultimately making the daily task of choosing meals both effortless and inspiring.

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Importance of Column Selection in AI-driven automated insights

ThoughtSpot

Everyone associated with Business Intelligence (BI) applications is talking about their Artificial Intelligence (AI) journey and the integration of AI in analytics. Artificial intelligence encompasses a broad spectrum of categories, including machine learning, natural language processing, computer vision, and automated insights. ThoughtSpot has been a leader in augmented analytics , leveraging AI to automate insights and empower users to make data-driven decisions.

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Building a Question-Answering System Using RAG

WeCloudData

The ability to extract information from vast amounts of text has made question-answering (QA) systems essential in the modern era of AI-driven apps. RAG-based question-answering systems use large language models to generate human-like responses to user queries. Whether it’s for research, customer support, or general knowledge retrieval, a Retrieval-Augmented Generation system enhances traditional QA models […] The post Building a Question-Answering System Using RAG appeared first on

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Crossing The Trust Threshold: When Quality Becomes Imperative in AI 

Monte Carlo

Over the past couple of months Ive spoken to dozens of data teams who are actively building and deploying AI applications. While some of these applications can thrive without perfect accuracy, others demand high reliability as scale, visibility and business impact increase. This post explores the patterns that drive when and why trust becomes an imperative.

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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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Snowflake Startup Challenge 2025: Meet the Top 10

Snowflake

The traditional five-year anniversary gift is wood. Since snowboards often have a wooden core, and because a snowboard is the traditional trophy for the Snowflake Startup Challenge, were going to go ahead and say that the snowboard trophy qualifies as a present for the fifth anniversary of our Startup Challenge. The only difference is that instead of receiving the gift, well be giving it to one of the 10 semifinalists listed below!

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Multidimensional analysis and visualization with the Space Time Kernel Density tool

ArcGIS

Explore the analytical and 3D visualization capabilities of Space Time Kernel Density tool with time and elevation data and Voxel layer.

Data 112
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Unlocking Real-Time Decision-Making with High-Velocity Data Analytics

Striim

As data volumes surge and the need for fast, data-driven decisions intensifies, traditional data processing methods no longer suffice. This growing demand for real-time analytics, scalable infrastructures, and optimized algorithms is driven by the need to handle large volumes of high-velocity data without compromising performance or accuracy. To stay competitive, organizations must embrace technologies that enable them to process data in real time, empowering them to make intelligent, on-the-fly

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Data Appending vs. Data Enrichment: How to Maximize Data Quality and Insights

Precisely

A former colleague recently asked me to explain my role at Precisely. After my (admittedly lengthy) explanation of what I do as the EVP and GM of our Enrich business, she summarized it in a very succinct, but new way: “Oh, you manage the appending datasets.” That got me thinking. We often use different terms when were talking about the same thing in this case, data appending vs. data enrichment.

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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 Cleaning with Bash: A Handbook for Developers

KDnuggets

Tired of dragging messy data through bloated tools? This handbook shows how to clean and transform datasets with Bash.

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Meta’s Llama 4 Large Language Models now available on Snowflake Cortex AI

Snowflake

At Snowflake, we are committed to providing our customers with industry-leading LLMs. Were pleased to bring Metas latest Llama 4 models to Snowflake Cortex AI! Llama 4 models deliver performant inference so customers can build enterprise-grade generative AI applications and deliver personalized experiences. The Llama 4 Maverick and Llama 4 Scout models can be accessed within the secure Snowflake perimeter on Cortex AI.

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Announcing the APJ Databricks Smart Business Insights Challenge: Empowering Data-Driven Decision Making with AI and BI

databricks

At Databricks, we believe the future of business intelligence is powered by AI. Thats why were thrilled to announce the Databricks Smart Business Insights Challenge.

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How to create an SCD2 Table using MERGE INTO with Spark & Iceberg

Start Data Engineering

1. Introduction 1.1. Code and setup 2. MERGE INTO is used to UPDATE/DELETE/INSERT rows into a target table based on data in the source table 3. SCD2 table pipeline: INSERT new data, UPDATE existing data, and DELETE stale data 3.1. Source includes 2 versions of upstream customer data: one for insert and the other for update 3.2. Updates to the target table 4.

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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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Upskilling and Reskilling – The Key to Career Growth

Edureka

The job market is constantly evolving and shifting rapidly these days, so workers need to know about reskilling and upskilling to stay ahead of the competition. Continuous learning was once considered a luxury, but as businesses change and new technologies come out, it’s become a must. This blog post talks about the differences between upskilling and reskilling, as well as their value, benefits, and how to do them effectively.

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How to Use Mind Maps in NotebookLM

KDnuggets

In this article, well explain how to use mind maps within NotebookLM to enhance your productivity and comprehension.

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A guide to migrating data from ArcGIS Online to an enterprise geodatabase

ArcGIS

A guide on common approaches of migrating data directly from ArcGIS Online to an enterprise geodatabase.

Data 87
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Introducing Meta’s Llama 4 on the Databricks Data Intelligence Platform

databricks

Thousands of enterprises already use Llama models on the Databricks Data Intelligence Platform to power AI applications, agents, and workflows.

Data 101
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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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6 ML Orchestration Tools You Need to Know

Monte Carlo

Machine learning (ML) orchestration tools are like the stage managers of your data science production. They dont write the script or act in the play, but without them, everything falls apart: lights dont come on, cues get missed, and suddenly your model is predicting total nonsense. That’s why you need someone calling the shots backstage, and thats exactly what these tools do.

Python 52
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What is System Hacking? Types and Prevention

Edureka

When you hear the term System Hacking, it might bring to mind shadowy figures behind computer screens and high-stakes cyber heists. In reality, system hacking encompasses a wide range of techniques aimed at exploiting computer systems, whether for unauthorized access by malicious actors or ethical penetration testing by security professionals. In this blog, we’ll explore the definition, purpose, process, and methods of prevention related to system hacking, offering a detailed overview to h

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A Complete Guide to A/B Testing in Python

KDnuggets

It's the must-learn data science skill to land a job at big tech.

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Deploying a utility network with the Migration Toolset

ArcGIS

Learn how to use the Migration Toolset to migrate data to a utility network and deploy it to an ArcGIS Enterprise environment.

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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.