Data Quality with Great Expectations
Master data validation techniques using Great Expectations to ensure high-quality inputs for AI/ML models, leading to more reliable and accurate results.
How to Win at Monetizing Games as a Service
Learn strategies for monetizing games as a service, from data engineering to AI/ML. Explore data pipelines, warehouses, and machine learning models to optimize game monetization.
Microsoft Fabric Overview - Features, Benefits, and Use Cases
Explore Microsoft Fabric's powerful features for organizational data management, including OneLake, lakehouses, warehouses, and AI integration. Learn key benefits and use cases for data engineering and analysis.
The Role of Infrastructure in ML Leveraging Open Source - MLOps Podcast #197
Explore ML infrastructure's role in leveraging open-source tools. Learn about unifying data processing, experiment tracking, and monitoring in a single platform for efficient ML lifecycle management.
AI Innovations: The Power of Feature Platforms - MLOps Mini Summit
Explore feature platforms for production AI, including Tecton's unified approach, Cleo's custom solution, and DIY strategies for building scalable, flexible ML infrastructures.
Building Scalable and Effective Data Pipelines with Argo for Large-Scale Metadata Processing
Discover how to build high-performance data pipelines using Argo's parallelization techniques, achieving massive scale with 450% faster processing times and efficient metadata ingestion for large-scale data operations.
Design Patterns for Running AI/ML and Big Data Workloads on Kubernetes
Explore essential design patterns and solutions for deploying AI/ML and big data workloads on Kubernetes, addressing challenges in container management, data handling, and system optimization.
AI in Kubernetes - Getting Started with Machine Learning Pipeline Development
Discover how Kubernetes supports AI development with features like autoscaling, GPU management, and ML pipeline orchestration using Flyte for efficient model deployment and serving.
Advanced RAG with LlamaIndex, Azure AI Search and Azure AI Foundry
Master advanced RAG fundamentals and build data-grounded AI applications using LlamaIndex and Azure AI Search. Learn retrieval strategies and practical implementation techniques.
Processing One Million Data Points Daily with Dapr
Discover how to efficiently process massive daily data volumes using Dapr's distributed application runtime capabilities and cloud-native architecture patterns.
Automating Data Integration with Machine Learning
Discover how machine learning techniques can streamline and automate data integration processes, enhancing efficiency and reducing manual effort in data management workflows.
Ingest, Govern and Secure Your Data with OneLake
Discover how OneLake's latest capabilities streamline data management across multi-cloud environments, with advanced mirroring and governance tools to enhance organizational data security and insights.
Building a ChatGPT RAG Data Pipeline with RisingWave Stream Processor and Vector Store
Discover how to build a real-time ChatGPT data pipeline using RisingWave stream processor, integrating Twitter feeds with vector embeddings for enhanced similarity search and RAG-based chatbot functionality.
Simplify Stream Data Processing with Declarative, Scalable Kubernetes Native Technologies
Discover how to implement efficient, cost-effective stream data processing using Kubernetes-native technologies while ensuring resilience and scalability in cloud-native environments.
Pulling Back the Curtain on Platform Engineering - Data and AI Platform Development
Discover how modern tech companies implement data science, AI, and platform engineering principles through real-world insights from SAS' senior leadership and development practices.
How to Build a Cloud Native Data Lake with Open Source Technologies
Discover how to deploy a Kubernetes-based data lake using open source tools, from initial setup to running a complete prototype platform on your local machine.
Accelerate AI and ML Development with AI Unlimited on Microsoft Fabric
Discover how AI Unlimited on Microsoft Fabric accelerates AI/ML development, enabling fast experimentation, testing, and secure deployment for data professionals through Teradata's innovative platform.
Secure and Streamline Data Engineering Workloads with Azure Data Factory and Snowflake
Discover how to optimize data engineering workflows using Azure Data Factory and Microsoft Fabric with Snowflake, featuring bi-directional data access through Apache Iceberg for enhanced security and performance.
The Role of Flash in Data Ingestion Within the AI Pipeline
Explore how flash storage revolutionizes data ingestion for AI pipelines, focusing on scalability challenges, performance demands, and efficient solutions for modern AI infrastructure deployment.
Mastering Data-Centric Engineering - 12 Principles for Success
Discover 12 essential principles for building scalable, testable data-centric applications across architecture, quality, audit, and consumption, drawing from real-world engineering experiences.
Fluent Bit - Building Better Pipelines for Observability and Telemetry Data Management
Discover how to build scalable data pipelines with Fluent Bit for efficient telemetry data collection, processing, and integration with Prometheus and OpenTelemetry formats.