Unified Data and AI Governance with Unity Catalog
Explore the challenges of fragmented governance in multi-vendor data and AI landscapes and discover how Unity Catalog can revolutionize your organization's governance strategy. Learn about the complexities and inefficiencies arising from tool sprawl in c…
Data and AI World Tour 2024 Bangkok - Deep Dive on Data Management, AI, and Industry Applications
Dive into a comprehensive 2.5-hour conference session from the Data + AI World Tour 2024 in Bangkok, exploring cutting-edge technologies in data management, warehousing, governance, and generative AI for enterprises. Gain insights from industry leaders o…
Putting the AI Back in Medallion Lake Design
Explore a comprehensive analysis of lakehouse design and its integration with AI in this insightful 13-minute talk by Simon Whiteley, a Databricks Beacon and Microsoft MVP. Delve into the challenges companies face when adopting lakehouses and learn how t…
How Not to Let Your Data and Model Drift Away Silently
Discover strategies to prevent data and model drift, ensuring ML models maintain performance and value over time in production environments.
Complete ML Lifecycle with MLflow - Learn Its Four Components
Explore MLflow's four components to simplify the machine learning lifecycle, from experimentation to production, enhancing reproducibility and accelerating development.
Data and AI World Tour 2024 Bangkok - Deep Dive on Data Management, AI, and Industry Applications
Explore cutting-edge data and AI technologies, real-world applications, and industry insights from global experts. Gain knowledge on generative AI, data governance, and optimizing data intelligence for enterprise success.
Databricks' vLLM Optimization for Cost-Effective LLM Inference - Ray Summit 2024
Discover strategies for optimizing vLLM to enhance LLM inference performance, reduce GPU idle time, and accelerate quantization, leading to cost-effective large-scale language model deployment.
Anomaly Detection on Streaming Data Using Azure Databricks
Learn to detect numerical anomalies in streaming data using Azure Databricks and Anomaly Detector. Build an end-to-end solution for monitoring applications with real-time anomaly detection capabilities.
MLOps Platforms From Zero - Databricks, MLFlow-MLRun-SKLearn
Comprehensive guide to building MLOps platforms using Databricks, AutoML, SKLearn, and AWS. Covers end-to-end process from project setup to model deployment, including CI/CD, experimentation, and containerization.
Tech Talk - Top Tuning Tips for Spark 3.0 and Delta Lake on Databricks
Learn top tuning tips for Apache Spark 3.0 and Delta Lake on Databricks. Discover optimal join strategies, machine sizing, merge operation speedups, and job simplification techniques for enhanced big data processing.
Databricks MLOps: Accessing Data with Dbutils FS in Azure, AWS, and GCP
Aprende a utilizar Databricks FS para acceder a archivos en Azure Blob, AWS S3 y Google Cloud Storage, mejorando tus habilidades en MLOps y ciencia de datos.
LLMOps with Langchain, OpenAI, and Databricks - Creating a Retrieval QA Chain
Crea un chain Retrieval QA con Langchain, Faiss y OpenAI. Aprende a salvar componentes en MLFLOW Databricks y realizar inferencias usando la chain creada.
ML and MLOps in Databricks: Using DButils Tool
Aprende a utilizar dbutils en tu espacio de trabajo Databricks para mejorar tus proyectos de aprendizaje automático y ciencia de datos.
ML and MLOps in Databricks: DButils Library - Spanish
Aprende a utilizar la librería DButils en Databricks para optimizar tus proyectos de Machine Learning y MLOps. Explora funcionalidades clave y mejora tu flujo de trabajo.
ML and MLOps with Databricks: LLMOps, MLFlow, OpenAI, and Databricks - Spanish
Aprende a utilizar OpenAI GPT-4 como revisor de código, encapsulándolo en un modelo Python de MLflow para implementarlo en una pipeline de Databricks.
ML and MLOps with Databricks: LLMOps, MLFlow, Transformers, and Databricks - Spanish
Aprende LLMOps con MLFlow y Databricks: implementa y gestiona modelos de lenguaje a gran escala utilizando herramientas de vanguardia en español.
ML and MLOps Databricks: Secrets Scope and Azure KeyVault Integration - Spanish
Aprende a integrar Databricks Secrets con Azure KeyVault para gestionar de forma segura las credenciales en proyectos de Machine Learning y MLOps.
ML and MLOps with Databricks: LLMs Using HuggingFace Transformers - Spanish
Explora LLMs con HuggingFace Transformers en Databricks: summarization, traducción, análisis de sentimientos, zero-shot y few-shot prompting.
MLOps MLFlow: MLFlow Projects - Dockerized Environments and MLflow in Spanish
Aprende a crear pipelines de ejecución con MLflow Projects, utilizando Docker y Databricks para logging y tracking en entornos de Machine Learning.
ML and MLOps Databricks: REST API v2 for Data Science and Machine Learning
Domina la API REST v2 de Databricks para optimizar flujos de trabajo de ML y MLOps, mejorando la eficiencia en ciencia de datos y aprendizaje automático.
ML y MLOPS Databricks - REST API v2 en Español
Domina la API REST v2 de Databricks para ML y MLOps. Aprende a automatizar tareas, gestionar clústeres y optimizar flujos de trabajo en ciencia de datos.