How Freewheel Processes Billions of Ad Tech Events in Real Time
Explore real-time bidding data processing at scale. Learn about Beeswax platform's event-based architecture, leveraging AWS Kinesis and Snowflake's Snowpipe to handle 500,000 QPS for data-driven advertising decisions.
Creating Self-Service, High-Velocity Data Cultures
Discover processes, platforms, and personnel needed to transform data culture into self-service, proactive insights. Learn to leverage data as a competitive advantage across business facets.
Processing Trillions of Records with Mini Serverless Databases at Okta
Explore serverless DuckDBs for efficient data processing, optimizing batch ETL, streaming, and SQL flexibility while addressing Kafka, latency, and ELT complexities in large-scale environments.
Beyond Kafka: Cutting Costs and Complexity with WarpStream and S3
Explore WarpStream's solution for Apache Kafka challenges, leveraging S3 for efficient streaming storage. Learn cost-saving strategies and witness live performance tests handling high-volume data ingestion.
Optimizing Time Series Data in Mixed Architectures with QuestDB
Explore time series database optimization, high-performance data ingestion, and cross-platform integration with QuestDB engineer Adam Cimarosti. Gain practical insights for handling fast-moving data in modern deployments.
Building Scalable and Reliable Data Pipelines Using Debezium and Kafka
Explore building scalable, reliable data pipelines with Debezium and Kafka. Learn to capture real-time database changes, integrate with Kafka, and implement best practices for efficient data processing and distribution.
The Power of a Brownfield Mindset When Building Your Platforms
Explore techniques for building successful brownfield platforms, challenging the greenfield approach and leveraging existing systems to evolve efficient, consolidated capabilities.
What's Next for Data Engineers: Unifying Data Across Analytical and Transactional Systems
Explore Google's data cloud innovations for unified analytics and transactions, enhancing agility and simplicity in Spanner, AlloyDB, Cloud SQL, and BigQuery.
Build Your Data Career with Google Cloud Credentials
Explore Google Cloud certifications for data professionals and learn how to advance your career with expert insights and preparation resources.
What's Next for Data Engineers
Explore the future of data engineering and emerging trends in this concise overview from Google Cloud experts.
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.
Scaling Data and AI to Increase Player Engagement and Satisfaction at Square Enix
Explore Square Enix's Single Gamer View solution, leveraging GCP for data management and AI to enhance player engagement across major game titles.
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.
Real-time Operational Data Streaming for Analytics and Generative AI Apps Using Datastream
Explore serverless data streaming for operational analytics and AI apps with Datastream, featuring insights from RocketMoney and Intuit Mailchimp.
Building a Python-Centric Feature Platform to Power Production AI Applications
Explore Tecton's journey in developing a Python-based platform for powering large-scale real-time AI applications. Learn about reliable solutions for productionizing AI using only Python skills.
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.
Apache Kafka Real-Time Personalization Architecture
Explore real-time personalization architecture using Apache Kafka and Spark for advanced content recommendation systems in data engineering and AI.
Introduction to ML Ops and Continuous Delivery for Machine Learning
Explore ML operations and the Continuous Delivery for Machine Learning Model in this concise introduction to MLOps.
Testing Data Pipelines - Techniques for Ensuring Data Flow Integrity
Explore effective techniques for testing data pipelines, ensuring smooth data flow and quick problem resolution. Learn about unit, integration, and end-to-end tests, plus unique methods like data snapshot testing.
Improve Your ML Projects - Embrace Reproducibility and Production Readiness with Kedro
Discover how Kedro framework enhances ML project management, focusing on reproducibility, flexibility, and production readiness. Learn to integrate Kedro for improved efficiency in Python-based projects.
Active Learning in Computer Vision
Discover techniques for creating active learning pipelines to leverage production data in training advanced computer vision models.