
Set up Spark master-worker architecture in Docker on Azure, process and visualize Japan visa data using PySpark and Plotly. Clean, transform, and gain insights into visa trends through interactive data analysis.

Accelerate AI development using Vertex AI on Colab: enhance productivity, collaboration, and operate confidently at scale with robust security and compliance.

Migrate petabyte-scale data pipelines to Google Cloud, optimizing performance and reducing costs. Learn from Globo's experience in handling massive concurrent users for major events.

Explore confidential computing advances for secure data collaboration, ML model protection, and privacy-preserving analytics in trusted execution environments.

Optimize MySQL workloads with Cloud SQL's enhanced availability, performance, and management capabilities for enterprise-grade applications.

Master Vertex AI Gemini model selection and prompt design. Learn to map capabilities to use cases, craft effective prompts, and implement robust engineering strategies.

Integrate Gemini, multimodal embeddings, and vector search to build a production-ready RAG system for enhanced generative AI grounding.

Deploy popular JavaScript frameworks to Google Cloud Run quickly and efficiently, demonstrating versatility and ease of use across the ecosystem.

Build a Python Flask app on Google Cloud using Gemini Cloud Assist for AI-powered code generation, understanding, and deployment on Serverless.

Optimize Go applications using profile-guided techniques. Learn runtime profiling, compiler optimization, and performance measurement on Google Cloud and beyond.

Supercharge generative AI development with Vertex AI and Flutter. Integrate pre-built components, accelerate prototyping, and deploy production-grade AI agents in your apps seamlessly.

Master Gemini Pro's lifecycle: train on custom datasets, fine-tune, deploy scalable endpoints, evaluate models, and ground with Google Cloud databases for optimal AI performance.

Develop and deploy AI applications using Gemini API, Vertex AI, and Cloud Run. Learn auto-scaling, function calling, and video processing with Google's serverless platform.

Discover the latest tools and updates for developers to enhance productivity and capabilities on Google Cloud and Workspace platforms.

Explore Duet AI's features for boosting cloud productivity, including code assistance, AI-backed operations, data exploration, and no-code app building.

Learn effective long-term schema management using data contracts. Explore advantages of Avro and Protobuf, schema references, compatibility types, topic versioning, and tools for data discoverability in Apache Kafka.

Explore next-gen data modeling strategies for large-scale systems. Learn about YODA, an internal tool combining developer experience, DBT, Databricks, and more, to address data standardization and governance challenges.

Explore real-time data transformation and analytics with dbt Labs. Learn about Modern Data Stack, streaming analytics, and best practices for building efficient data pipelines and democratizing data access.

Explore the future of streaming data, focusing on managing complex data connections, adopting Kafka internally, and addressing challenges in data governance, security, and movement across organizations.

Explore how online gaming concepts enhance large-scale event management in Apache Kafka, including latency masking, conflict resolution, and seamless collaboration techniques for improved real-time data processing.

Gain insights into Apache Kafka event systems using OpenTelemetry for tracing and monitoring. Learn about application-level tracing, native Kafka support, and implementing event-level tracing in distributed systems.