In this hands-on lab, you'll explore data with BigQuery's intuitive table explorer and data insight features, enabling you to gain valuable insights without writing SQL queries from scratch. Learn how to generate key insights from order item data, query location tables, and interact with your data seamlessly. By the end, you’ll be equipped to navigate complex datasets and uncover actionable insights quickly and efficiently.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Analyze BigQuery logs with SQL using Log Analytics. This hands-on lab covers enabling Log Analytics, querying BigQuery logs within Cloud Logging, and visualizing results for in-depth usage analysis and troubleshooting.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Time to make generative AI a reality for your application. This session is all about how to build high-performance gen AI applications fast with Cloud SQL for MySQL and PostgreSQL. Learn about Google Cloud’s innovative full-stack solutions that make gen AI app development, deployment, and operations simple and easy – even when deploying high-performance, production-grade applications. We’ll highlight best practices for getting started with Vertex AI, Cloud Run, Google Kubernetes Engine, and Cloud SQL, so that you can focus on gen AI application development from the get-go.

In this hands-on lab, you'll explore the power of BigQuery Machine Learning with remote models like Gemini Pro to analyze customer reviews. Learn to extract keywords, assess sentiment, and generate insightful reports using SQL queries. Discover how to integrate Gemini Pro Vision to summarize and extract keywords from review images. By the end, you’ll gain skills in setting up Cloud resources, creating datasets, and prompting Gemini models to drive actionable insights and automated responses to customer feedback.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Build resilient, scalable applications that thrive in the face of increasing demands. Cloud SQL offers new features designed to optimize performance, availability, and cost efficiency for MySQL and PostgreSQL databases, managed replica pools, and connection pooling. Learn how to make downtime a thing of the past, implement advanced disaster recovery strategies, and maximize your application’s performance. Join our demo-packed session for a deep dive into these new Cloud SQL capabilities and best practices.

Learn how Database Migration Service can help you modernize your SQL Server databases to unleash the power of cloud databases and open source PostgreSQL! Convert your SQL Server schema and T-SQL code to PostgreSQL dialect with a click of a button in the DMS Conversion Workspace. Some objects could not be fully converted? Gemini can suggest a fix. Not yet familiar with PostgreSQL features? Ask Gemini to teach you how to convert SQL Server features to PostgreSQL equivalent ones. While Gemini is there - ask it to optimize the converted code or add some comments to explain the business logic. Once your database is fully converted and optimized you can migrate the data with minimal downtime using the change data capture powered migration job and complete your migration journey.

AI is revolutionizing observability. Learn about Cloud SQL AI-powered Database Insights and how it can help you optimize your queries and boost database performance. We’ll dive deep into the new Insights capabilities for MySQL, PostgreSQL, and SQL Server, including the Gemini-powered chat agent. Learn how to troubleshoot those tricky database performance issues and get practical tips to improve the performance of your applications.

SQL Server workloads powering mission-critical applications demand high availability and disaster recovery configurations from the get-go. Users can choose to leverage the business continuity and disaster recovery (BCDR) capabilities in Cloud SQL for SQL Server. In this session, we’ll cover the basics of BCDR with Cloud SQL for SQL Server. We’ll highlight the architectural patterns that are best suited for different types of workloads while leveraging the latest enterprise-ready Cloud SQL innovations.

Bigtable has been a core piece of application infrastructure for Google and companies such as Snap, Spotify, and many other massive platforms for over 20 years. In this session, we’ll discuss the fundamental changes to Bigtable processing capabilities made available via SQL that will let you bring more data transformations directly into Bigtable – enabling extract, load, and transform (ELT) capabilities taking advantage of Bigtable’s flexible schema to achieve increased data freshness – and that will reduce the time and costs of running other data processing services to prepare data for your real-time application.

Newt Global's DMAP revolutionizes Oracle/MS-SQL to PostgreSQL migrations. This automated solution streamlines the entire process, from initial planning to final production deployment. Key advantages are 1. Container-driven parallelization: Dramatically reduces migration timelines by harnessing powerful computing resources. 2. Unmatched speed: For medium complexity databases, DMAP achieves in 12 weeks what other tools take 12 months due to its advanced automation capabilities, including streamlined application and complex code translation.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

This session demonstrates how BigQuery ML connects all your data to cutting-edge AI using familiar SQL. Learn practical steps to build, train, and deploy machine learning (ML) models for predictive analytics directly in BigQuery while minimizing complexity and data movement. Discover ways to perform tasks such as sentiment analysis, audio transcription, and document classification with the latest models from Gemini, Claude, Llama, and others directly in BigQuery without the need for advanced Python or specialized ML skills.

PostgreSQL is one of the most popular open source databases for application development.  Furthermore, native support for vector search makes PostgreSQL an excellent choice for generative AI app development too. Learn why Google Cloud is the best place for your PostgreSQL workloads across Cloud SQL, AlloyDB and Spanner database offerings. Also hear from Salesloft about their journey to Google Cloud and how they chose which database service to select for their workloads.

This hands-on lab guides you through importing real-world data from CSV files into a Cloud SQL database. Using a flight dataset from the US Bureau of Transport Statistics, you'll gain hands-on experience with data ingestion and basic analysis. You'll learn to create a Cloud SQL instance and database, effectively import your data, and build a foundational data model using SQL queries.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Unlock the power of generative AI and data. Join experts from LlamaIndex and Google Cloud databases and learn how to seamlessly integrate LlamaIndex with AlloyDB and Cloud SQL for PostgreSQL, enabling your apps to reason, act on your data, and leverage the performance of Google Cloud. We’ll share real-world examples and code. Discover new possibilities for building advanced gen AI applications.

Unlock the power of AI-assisted coding in BigQuery with this hands-on lab. Learn how to generate SQL queries using natural language prompts, utilize BigQuery's code explanation and transformation features, and collaborate with Gemini to review, debug, and optimize your SQL code. Whether you're looking to streamline query development or troubleshoot issues, this session will enhance your ability to write and refine code efficiently using Gemini's intelligent capabilities in BigQuery.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Join us to learn how you can build on Google’s intelligent, open, and unified Data Cloud to accelerate your AI transformation. This session covers deep integrations between BigQuery and Google’s operational databases, such as Spanner, AlloyDB, Bigtable, Cloud SQL. Mercado Libre will share how Spanner and Bigtable Data Boost enable near-zero impact analytics on their operational data. Plus, discover how Datastream and change streams simplify data movement to BigQuery, and how reverse ETL (extract, transform, and load) from BigQuery powers operational analytics.

Join this session to learn how to ground your AI with relevant data with retrieval-augmented generation (RAG) from Firebase Data Connect, which brings rapid development and intelligent context from your Cloud SQL database to your generative AI experiences. Data Connect makes it easy to connect your app, data, and AI all together, and seamlessly integrates Vertex AI and Cloud SQL to make RAG easy and ready for AI agents.

Are you an Amazon Web Services (AWS) developer exploring Google Cloud for the first time, or looking to deepen your multi-cloud skills? Join us for a whirlwind tour exploring the ins and outs of Google Cloud, from resource and access management, to networking and SDKs. We’ll cover Google Cloud’s framework for hyperscaler migrations. Then, we will demonstrate migrating an AWS application to Google Kubernetes Engine (GKE) and Cloud SQL, including Database Migration Service (DMS), GKE cluster creation, container image migration, and CI/CD. You'll leave with a core understanding of how Google Cloud works, key similarities and differences with AWS, and resources to get started.

This hands-on lab guides you through importing real-world data from CSV files into a Cloud SQL database. Using a flight dataset from the US Bureau of Transport Statistics, you'll gain hands-on experience with data ingestion and basic analysis. You'll learn to create a Cloud SQL instance and database, effectively import your data, and build a foundational data model using SQL queries.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

Join this Cloud Talk to explore how Large Language Models (LLMs) can revolutionize your data workflows. Learn to automate SQL query generation and stream results into Confluent using Vertex AI for real-time analytics and decision-making. Dive into integrating advanced AI into data pipelines, simplifying SQL creation, enhancing workflows, and leveraging Vertex AI for scalable machine learning. Discover how to optimize your data infrastructure and drive insights with Confluent’s Data Streaming Platform and cutting-edge AI technology.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.