Retrieve, Augment, Generate then Measure - How to Build Open Source AI
Explore open-source AI development through the Retrieve, Augment, Generate, and Measure framework. Learn practical techniques for building AI systems using freely available tools and resources.
The Power of Open Primary Care Prescribing Data Science and Dataset Publishing
Explore open primary care prescribing data science and dataset publishing, uncovering insights and potential applications in healthcare analytics.
Unleashing Open Data with GitHub Actions
Automate open data workflows using GitHub Actions. Learn to streamline data processing, validation, and publication for enhanced accessibility and transparency.
Postgres and AI: A Future Unleashed
Explore the intersection of PostgreSQL and AI, uncovering potential advancements and future applications in database technology.
Data for Communities
Explore community-driven data initiatives and their impact on local decision-making with Sam Milsom from OpenUK.
Searching for Extraterrestrial Intelligence Using Google Cloud
Explore how Google Cloud aids in the search for extraterrestrial intelligence through radiofrequency data analysis and technosignature detection, featuring insights from SETI Forward Award winner Raffy Traas.
How Twitter Maximizes Performance with BigQuery
Explore Twitter's data architecture and how BigQuery enables processing millions of queries monthly from over 200 million users. Learn about data migration, storage management, and scaling challenges.
What's New in BigQuery: Features and Innovations
Explore BigQuery's latest innovations for data analytics, including migration services, operational data lakes, and new features driving business transformation.
Storage Best Practices for Data Analytics, GKE, and Critical Applications
Discover optimal storage strategies for data analytics, GKE workloads, and critical applications, enhancing performance and efficiency in cloud environments.
Simplifying Data Analytics Across Cloud Environments - Breaking Down Silos
Simplify data analytics across cloud environments, overcoming silos for 360-degree business insights. Learn from Accenture and L'Oréal's cross-cloud analytics journeys.
Improve Document Efficiency with AI: Making Workflows Faster, Simpler, and Pain-Free
Streamline document workflows using AI: Extract structured data from unstructured documents, reduce processing costs, and enhance business efficiency with Google's Document AI solutions.
What's Next for Data Analysts and Data Scientists - Google Cloud Innovations
Explore Google's Data Cloud innovations for advanced analytics and AI, transforming decision-making and operationalizing data insights at scale.
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.
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.
L'Oréal's Serverless Event-Driven Data Platform for Processing 20TB Monthly
Explore L'Oréal's serverless, event-driven data platform for processing 20TB monthly, leveraging Google Cloud's managed analytics pipelines and orchestration tools for sustainable data handling.
Scaling Data Analytics Securely with Spark on Google Cloud
Simplify and scale data analytics securely with Spark on Google Cloud, combining open source and cloud-native tools in a unified, fully managed platform for data and AI.
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.
Understanding Graph Databases with Neo4j
Explore graph databases and Neo4j to uncover deeper insights through data relationships, gaining a more flexible and insightful view of your information.