Tue.Apr 08, 2025

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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.

AWS 75
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The Power of Fine-Tuning on Your Data: Quick Fixing Bugs with LLMs via Never Ending Learning (NEL)

databricks

Summary: LLMs have revolutionized software development by increasing the productivity of programmers.

Coding 132
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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.

Data 130
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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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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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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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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.

More Trending

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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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LLM Benchmarks: Evaluation, Limits, and Comparison

Edureka

The speed at which LLMs have developed has changed the landscape of industries dealing with all sorts of complex NLP tasks on chatbots and virtual assistants and content creation and support. However, assessing the models’ functioning and capabilities is quite a task in itself. The way these benchmarks are set basically requires providing common ground to evaluate and measure the competence of models for that task.

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NVIDIA GTC 2025: What Happened at the Super Bowl of AI

KDnuggets

From the unveiling of the Rubin AI chips to what the next multi-trillion dollar industry is.

70
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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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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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2 Simple But Frequently Used Red Flags to Avoid on Your Resume

KDnuggets

In this article, we will go through 2 simple but effective tips on how you can optimise your resume.

70
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Databricks Wins 2025 Google Cloud Partner of the Year Award

databricks

Databricks Secures Google Cloud Technology Partner of the Year Award for Data & Analytics - Smart Analytics!

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Gemini RAG Recipe with Query Enhancement

KDnuggets

Implement a RAG system using this recipe with Gemini and ChromaDB.

Systems 125
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Privacy-centric collaboration on AI with Databricks Clean Rooms

databricks

Access to high-quality, real-world data is crucial for developing effective machine learning models.

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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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Cloud Security

WeCloudData

Cloud security is becoming a key component of digital transformation strategies as businesses are migrating their infrastructures and operations to cloud-based platforms. The traditional cloud security architecture has grown beyond traditional boundaries as hybrid work, cloud application security with AI adoption, and multi-cloud setups become the norm.

Cloud 52