Democratizing Data with BigQuery and Data Mesh
Explore CNA's data transformation journey using BigQuery and data mesh to drive organizational value and close the data-to-value gap in uncertain times.
Unify Batch and Stream Data for Real-Time Intelligence at Google Scale
Leverage unified batch and streaming analytics for real-time insights and actions, enabling competitive advantage through instant analysis of growing data volumes.
Unifying Operational Data with Analytics for a Complete Picture
Unify operational and analytical data to gain comprehensive insights using hybrid processing, federated queries, and change streams. Explore best practices and architectures.
Exploring Observability with Chronosphere
Discover how Chronosphere's observability platform manages data growth and provides real-time insights for faster issue remediation in cloud-native environments.
Move from Raw Data to Machine Learning Faster with BigQuery and Vertex AI
Accelerate ML development using BigQuery and Vertex AI. Learn to streamline data-to-AI workflows, improve quality, and support governance on Google Cloud.
The Data Professional in the Era of Generative AI
Explore the convergence of DataOps, MLOps, and LLMs in the era of generative AI. Learn how data analytics and machine learning applications are evolving and creating value for organizations.
Exploring Google Cloud's Data and AI Foundation
Discover Google Cloud's data and AI advantages, including Generative AI integration, infrastructure benefits, and real-time data matching across structured and unstructured sources.
Building Next-Generation Data Pipelines with Containers - Fast Track to Modernization
Build efficient, scalable data pipelines using containers. Learn to leverage Cloud Run for streaming, batch, and on-demand data processing, enhancing your business's data management capabilities.
Build an Open Format Analytics and AI Lakehouse
Unlock data value with an analytics and AI lakehouse architecture, converging to a single platform for all workloads. Learn from Rakuten's CTO about their BigLake transformation.
Props Validation in React - PropTypes and DefaultProps
Learn to validate props and set default values in React components using propTypes and defaultProps, including for objects and arrays.
Microsoft Purview Overview - AZ-900 Certification Course - August 2023
Explore Microsoft Purview's data governance capabilities, supported sources, and features. Learn to understand and manage your data effectively across free and enterprise tiers.
Azure Monitor Logs Update 2024 - New Features and Changes
Explore Azure Monitor Logs updates, including analytics, long-term retention, search jobs, basic and auxiliary logs, and summary rules for enhanced log management and analysis.
Chronicle - Delivering Blockchain-backed Provenance with Hyperledger Sawtooth
Explore Chronicle, a blockchain-backed solution for recording provenance data using Hyperledger Sawtooth. Learn its benefits and applications across industries.
Foundation Models in the Modern Data Stack - Part 2
Explore foundation models' applications in data analytics, cleaning, and linkage. Learn solutions for production deployment challenges in the modern data stack.
Solving LLM Data Problems with Vector Databases - Part 2
Explore vector databases' role in LLM apps, focusing on solving data issues and democratizing access to this technology for efficient billion-scale vector search.
Carving Reality at its Digital Joints - Ontology in Information Systems
Explore ontology's role in structuring reality and its impact on information systems. Gain insights into semantic precision, data integration, and the shift towards intelligent augmentation.
The Power of GraphQL
Explore GraphQL's core concepts and capabilities for efficient data management in web applications. Elevate your development skills with this powerful query language.
Effortless Change Data Capture with Debezium and Kubernetes
Harness the power of Change Data Capture in Kubernetes using Debezium. Learn to track, stream, and deploy real-time database changes efficiently for data-driven applications.
All About Ops: DataOps, MLOps, DevOps, AIOps
Explore DataOps, MLOps, DevOps, and AIOps with Michelle and Andreea. Discover how these practices optimize enterprise data, machine learning, and AI projects for improved efficiency and quality.
Practical Data Considerations for Building Production-Ready LLM Applications
Discover practical tips for managing data in scalable LLM systems. Learn how LlamaIndex and Ray provide tools for building robust, production-ready AI applications using private data.
Learning Logical Relationships with Neural Networks - Part 3
Explore experimental evaluation of Differentiable Inductive Logic Programming for Structured Examples, examining its application in learning logical relationships using neural networks.