Almost a month ago, over thirty thousand people converged on Mandalay Bay in Las Vegas to celebrate, rant, learn, collaborate, explore, criticize and discuss all things Google Cloud.
A remarkable number of things were announced, but I’m not here to talk about those. Innumerable customer stories were told. But I’m not here to talk about that either. What I AM here to talk about, is the incredible sessions that were presented by Googlers, users and customers. Decision makers and practitioners.
Did you know many of the sessions were recorded and are available on the website if you’re registered?
To help make that all a bit faster, I’ve also compiled a list of all the recorded sessions that touched on our data products (because, you know, I love data!). For your viewing pleasure, I give you…the data sessions from Google Cloud Next 2025! These first session sections are all the full length recorded sessions. Side note: There’s LOTS of crossover between the arbitrary categories I have below!
Spotlight sessions
- The future of AI-powered data is autonomous and agent-driven — Data Analytics spotlight session. (short recap version)
- What’s next for Google Cloud databases in the AI era — Databases spotlight session (short recap version)
Breakout sessions
Announcement specific sessions
- What’s new in BigQuery
- Introducing Firestore with MongoDB compatibility. Dive-deep into its capabilities and use-cases.
- What’s new in Looker: AI for BI
- What’s new in data and AI governance
- What’s new in Looker: AI for BI
- Deep dive into the latest innovations in AlloyDB: The new way to PostgreSQL
- What’s new with Memorystore for Valkey
- A new era of AI for BI with Conversational Analytics for BigQuery and Looker
- The AI revolution in BI: A deep dive into Gemini in Looker
- Redefine data and AI governance in the unified BigQuery platform
- A new era of self-service and beautiful visualizations: Studio in Looker
Cool tech innovation sessions
- Accelerating tech modernization through gen AI agents
- Automate data pipelines with AI agents in BigQuery
- Data fabric on BigQuery: An architect’s perspective of why and how to do it
- Unleashing graph analytics in BigQuery
- Gemini in BigQuery: Your AI assistant for transforming your data workflows
- Unlock the power of Looker: Performance secrets and modeling mastery
- Spanner Graph: Graph databases reimagined
- Use BigQuery ML to build gen AI and predictive ML applications
- Unleashing the power of Apache Spark integrated with BigQuery
- Data on Kubernetes: Run stateful apps and AI workloads on GKE
- Scale data science with BigQuery DataFrames for Python
- How BigQuery can help modernize your data platform for the AI era
- How to accelerate AI app development and use AlloyDB Omni in any environment
- Build intelligent, multi-model applications with Spanner
- Architecting the future: Spanner’s multimodel power and technological foundation
- Simplify operational and AI data pipelines with SQL in Bigtable
- Build production-grade gen AI apps with Cloud SQL for MySQL and PostgreSQL in less than 30 minutes
- Maximize the availability and performance of your Cloud SQL workloads
- Dialing In: Firestore with MongoDB compatibility in Action
- Supercharge your Oracle databases and applications with Google Cloud
- Deploy AlloyDB Omni on Kubernetes next to local AI models
- Best practices for building a lakehouse on Google Cloud
- A new BigQuery capability: Integrated Earth data for better decision making
- New geospatial analytics tools to drive business and sustainability impact
- Support disaster resilience with integrated AI-driven geospatial analytics
- Use real-time data for AI/ML workloads in BigQuery
- Deep dive into multimodal embeddings and vector search in BigQuery
- Innovate data workloads with AI-first data prep and BigQuery notebooks
- Bring the power of BigQuery to your Apache Iceberg lakehouse
- Build an open, unified AI lakehouse with BigQuery and OSS
- Save time and effort with Google Cloud Managed Service for Apache Kafka
- Bridge the gap: Unify your data with BigQuery multimodal tables
Customer centric solution sessions
- Mainframe modernization with AI and the cloud: Customer stories
- The future of work: AI agents unleashed with UKG, Google Cloud, and MongoDB
- Virgin Media O2 partners with TCS for cloud-first data strategy
- Enhancing Definity’s customer and agent experience with proactive Agent Assist
- Future-proof and modernize SAP business processes with Google Cloud
- How Shopify and Palo Alto Networks use Dataflow bringingreal-time data to AI
- Solve real-time AI challenges: Bigtable and BigQuery in Spotify’s music recommendation engine
- Hadoop pioneer to cloud innovator: Yahoo’s data lake modernization journey
Industry specific sessions
- Personalizing public health and human services: Stories of support and care
- Protect our resources and invest in tomorrow with data and AI
- The future of AI and databases: How Target transformed their retail experience with AlloyDB AI
The rest
- The data-driven C-suite: Lead with insights in the age of disruption
- Unlock value for your workloads: Microsoft, Oracle, OpenShift, and more
- Empower growth: Data and security solutions for small and medium businesses
- Beyond the hype: Real-world applications of gen AI and databases
- Eliminate your weak spots: Discover and protect sensitive data
- The enterprise AI playbook: Five must-have strategies
- Building an AI-ready data foundation with lean teams
- Why leading enterprises migrate to BigQuery and what they learned along the way
- Why leading enterprises migrate to BigQuery and what they learned along the way
- Data platform migrations: Perspectives from industry insiders
- Grow your business with BigQuery and Google Maps Platform
Then we have a slew of recaps. Some session recaps are just shorter versions of some of the above sessions, and some were net new!
Spotlight Recaps
- The future of AI-powered data is autonomous and agent-driven
- What’s next for Google Cloud databases in the AI era
The rest of the recaps
- Design business continuity for SQL Server
- Cloud migration conquered: Strategies for small but mighty IT teams
- Mainframe modernization with AI and the cloud: Customer stories
- Automate data pipelines with AI agents in BigQuery
- Unleashing graph analytics in BigQuery
- Building the tools for valuable business insights from sustainability data
- Human expertise and empathy in an AI world
- Advanced analytics made easy: BigQuery and Looker for small teams
- Oracle and Google Cloud: Design for the future with advanced analytics and AI
- Under the Iceberg: Simple, unified Cloud Storage for analytics data lakes
- Unlock the power of secure data sharing with BigQuery
- How BigQuery can help modernize your data platform for the AI era
- Build powerful gen AI agents with Google Cloud databases and LlamaIndex
- AI-assisted database management: From fleet-wide optimization to granular performance troubleshooting
- Beyond basic monitoring: AI-powered observability for Cloud SQL
- Dialing In: Firestore with MongoDB compatibility in Action
- AI-powered data cloud: Unify databases and BigQuery
- Supercharge your Oracle databases and applications with Google Cloud
- Deploy AlloyDB Omni on Kubernetes next to local AI models
- Best practices for building a lakehouse on Google Cloud
- Take multimodal data to gen AI with cloud databases and serverless runtimes
- From data to action: Building causal AI systems with knowledge graphs
- How a global bank transformed their data estate with Teradata + Google
- Democratizing AI and ML: Building and scaling with BigQuery and Vertex AI
- Innovation with speed: Journey of a large and complex data warehouse to Cloud
- LangGraph and MCP Toolbox: Building generative AI agents on your databases
- Gemini Code Assist: Superpowers for building apps on Google Cloud databases
- Structure your unstructured content: Gemini for scaling business
I hope you enjoy sifting through all the amazing sessions from our data world at Google from our big show. Please let me know your favorites in the comments below!
Google Cloud Next 2025 Data Content was originally published in Google Cloud – Community on Medium, where people are continuing the conversation by highlighting and responding to this story.
Source Credit: https://medium.com/google-cloud/google-cloud-next-2025-data-content-5841c7c73cf4?source=rss—-e52cf94d98af—4
