🔄 Data Engineering

ETL pipelines, data warehousing, streaming, orchestration and lakehouse architecture

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Data Engineering

Why AI Agents Shouldn't Replace Your Fraud Models

MLOps.community Intermediate 1mo ago

Data Engineering

Iceberg is harder than you think

MLOps.community Intermediate 5mo ago

Data Engineering

Evaluation-Driven Development with MLflow 3.0

MLOps.community Intermediate 10mo ago

Data Engineering

The Reliability Gap: ML vs. Production Teams

MLOps.community Intermediate 1y ago

Data Engineering

Kubernetes, AI Gateways, and the Future of MLOps // Alexa Griffith // MLOps Podcast #294

MLOps.community Intermediate 1y ago

Data Engineering

Scaling your data and AI from 0-100 with open source

MLOps.community Intermediate 1y ago

Data Engineering

Exploring SQLmesh

MLOps.community Intermediate 1y ago

Data Engineering

How to Make Your Data Science Reproducible (and Why You Should Care)

MLOps.community Intermediate 1y ago

Data Engineering

The Future of Software Architecture for GenAI: Real-Time Data Streaming

MLOps.community Intermediate 1y ago

Data Engineering ⚡ AI Lesson

How Data Capture Transforms ML Observability

MLOps.community Intermediate 1y ago

Data Engineering

Real-Time Event Processing for AI/ML with Numaflow // Sri Harsha Yayi // DE4AI

MLOps.community Intermediate 1y ago

Data Engineering

Engineering Your AI Platform // Panel // DE4AI

MLOps.community Intermediate 1y ago

Data Engineering ⚡ AI Lesson

Putting the AI back in Medallion Lake Design // Simon Whiteley

MLOps.community Intermediate 1y ago

Data Engineering

How To Cut Your Data Infrastructure Costs in Half

MLOps.community Intermediate 1y ago

Data Engineering

DuckDB is fast for analytics, but what can it do for AI? // Mehdi Ouazza // DE4AI

MLOps.community Intermediate 1y ago

Data Engineering ⚡ AI Lesson

Building a Data Infrastructure for AI/ML

MLOps.community Intermediate 1y ago

Data Engineering ⚡ AI Lesson

BigQuery Feature Store // Nicolas Mauti // MLOps Podcast #255

MLOps.community Intermediate 1y ago

Data Engineering

Navigating the Emerging LLMOps Stack // Hien Luu // AI in Production Conference Lightning Talk

MLOps.community Intermediate 2y ago

Data Engineering ⚡ AI Lesson

Productionizing AI: How to Think From the End // Annie Condon // AI in Production Conference

MLOps.community Intermediate 2y ago

Data Engineering

Importance of Clean Code // Matt Sharp // MLOps Podcast #160 short clip

MLOps.community Intermediate 3y ago

Data Engineering

From Idea to Product: The Development of Apache Spark

MLOps.community Intermediate 3y ago

Data Engineering

Understanding User Needs in Machine Learning and AI Development

MLOps.community Intermediate 3y ago

Data Engineering ⚡ AI Lesson

Spark and MLflow Similarities // Matei Zaharia // MLOps Podcast #155 short clip

MLOps.community Intermediate 3y ago

Data Engineering ⚡ AI Lesson

The Birth and Growth of Spark: An Open Source Success Story // Matei Zaharia // MLOps Podcast #155

MLOps.community Intermediate 3y ago

Data Engineering ⚡ AI Lesson

Balancing Technical Debt and Future Thinking in Product Development

MLOps.community Intermediate 3y ago

Data Engineering

Managing Data on DAG Store // Stephen Bailey // MLOps Podcast #141 video clip

MLOps.community Intermediate 3y ago

Data Engineering

MLflow Pipelines: Opinionated ML Pipelines in MLflow // Xiangrui Meng // Coffee Sessions #112

MLOps.community Intermediate 3y ago

Data Engineering

Building a Movie Recommendation System on Tecton with Snowflake // David Hershey //MLOps Meetup #102

MLOps.community Intermediate 4y ago

Data Engineering ⚡ AI Lesson

Durable Data Discovery: Making Exploratory Analysis Stick // James Campbell // MLOps Meetup #86

MLOps.community Intermediate 4y ago

Data Engineering

MLOps: Airflow Pros and Cons

MLOps.community Intermediate 6y ago

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Google BigQuery for Data and ML Engineers

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Data Modeling, Transformation, and Serving

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Data Engineering Workflow Orchestration with Airflow

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Snowflake - Build and Architect Data Pipelines Using AWS

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Fundamentals of Azure Databricks

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Data Warehousing and Integration Part 2

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Données au service de la santé de la population

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Data Engineering Essentials

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Databricks Associate Developer: Apache Spark with Python

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Build & Transform Data Pipelines

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Apache Airflow Best Practices

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Build & Analyze Your Data Lakehouse

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Microsoft Fabric: Architecture, Data Lakes and Ingestion

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Automate, Ingest, and Validate Event Data

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Fundamentos do BigQuery para Profissionais de Snowflake

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Ensure Data Integrity: Build Quality Pipelines

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Principes de base pour les utilisateurs Snowflake

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Create an Affinity Diagram Using Creately

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