
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 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.

Explore lakeFS, an open-source tool transforming object storage into Git-like repositories for data version control. Learn its benefits for data management, reproducibility, and reprocessing in various industries.

Explore Kafka leader election's role in improving scalability and performance. Learn about failover processes, preferred leaders, and optimizations for efficient data replication and consistency in distributed systems.

Explore real-time machine learning and AI with data streaming. Learn how Airy's open-source platform uses Apache Kafka to improve customer experiences through integrated, accessible data and conversational AI.

Explore trends in data streaming, Apache Kafka adoption, and the future of stream processing with industry experts. Gain insights on best practices, emerging use cases, and technological advancements.

Learn to design effective event-driven architectures using Apache Kafka. Explore key concepts like internal vs. external events, fact vs. delta, and normalization strategies to build scalable, responsive systems.

Explore Kubernetes data architectures for AI/ML, storage best practices, and data availability. Learn to retool your skills for the new paradigm of data on Kubernetes.

Explore the synergy between Stack Overflow and Gemini, unlocking new levels of developer productivity through AI-powered tools backed by trusted data.

Generate and search multimodal embeddings in BigQuery for enhanced data exploration, pattern recognition, and clustering, leading to faster insights and decision-making.

Harness generative AI agents for process automation and conversational experiences. Build, test, and deploy AI-powered agents using low-code tools. Optimize performance for enhanced business operations.

Deploy a Retrieval-Augmented Generation app using Ray, HuggingFace, and LangChain on Google Cloud. Learn to augment with custom data, deploy models, and develop applications rapidly.

Unify data and metadata across engines for analytics and AI using BigQuery's new capabilities, enabling seamless data sharing and ecosystem integration.

Optimize AI workloads and enterprise applications with purpose-built infrastructure. Learn about supercomputing innovations, TPUs, GPUs, and AI-powered assistance for efficient operations.

Explore AI-driven advancements in business intelligence, focusing on Gemini in Looker for data-driven insights and application development with Google's BI suite.

Leverage BigQuery's ML capabilities and Gemini AI for advanced data analytics, sentiment analysis, and entity extraction.

Explore Accenture's innovative use of Google's Generative AI for client solutions, featuring a live demo of Natural Language Search and Q&A in a client portal for enhanced business intelligence.

Explore optimized storage solutions for AI, Kubernetes, and VMs. Gain insights into performance-enhancing features, cost optimization, and future-ready storage planning.

Explore real-world AI applications in security operations, enhancing threat detection and response through hands-on demonstrations and case studies.