6 Steps to Designing Your Internal Developer Platform
Learn to design a successful Internal Developer Platform in 6 steps, covering Platform Engineering, DevEx, organizational benefits, and gaining buy-in for implementation.
How to Catch Issues Before They Hit Production - Traffic Replay Techniques
Discover techniques for identifying and resolving production issues using traffic replay, enhancing platform reliability and reducing outages in complex application services.
Apache Spark Processing with AWS EMR - Data Engineering Project
Master AWS EMR for data processing: set up, submit Spark jobs, visualize on Hadoop UI, and leverage cloud computing for efficient big data handling.
End-to-End Modern Data Engineering with DBT and BigQuery
Master modern data engineering with DBT and BigQuery. Set up, link, transform data, convert tables to views, seed data, write tests, and generate documentation in this comprehensive tutorial.
End-to-End Data Engineering on Azure Spark Cluster: Japan Visa Analysis
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.
Python Web Scraping for Beginners - Extracting Data from News Websites
Learn to extract valuable data from news websites using Python and BeautifulSoup. Master HTML parsing, efficient script writing, and data cleaning techniques for effective web scraping.
One Dataset and Three Use Cases with Microsoft Fabric
Leverage World Bank Open Data with Microsoft Fabric using various methods, model data, and create stunning reports in this demo-filled session on end-to-end solutions.
The Fundamentals of DAX Contexts
Embark on an African Safari-themed adventure to master DAX contexts, exploring row and filter contexts through captivating wildlife visuals. Gain essential skills for data analysis and business intelligence.
Data Modelling Showdown: Unravelling the Mysteries of Different Data Modelling Approaches
Explore diverse data modelling approaches, from Dimensional to Data Vault, understanding their strengths and optimal use cases for effective data management and analytics.
Build AI Quickly, Collaboratively, and Confidently with Colab Using Vertex AI
Accelerate AI development using Vertex AI on Colab: enhance productivity, collaboration, and operate confidently at scale with robust security and compliance.
Petabyte-Scale Data Migrations to Google Cloud - Best Practices and Case Study
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.
Confidential Computing: Advances in Secure Data Collaboration
Explore confidential computing advances for secure data collaboration, ML model protection, and privacy-preserving analytics in trusted execution environments.
Industry-Leading Availability and Performance for MySQL Workloads on Cloud SQL
Optimize MySQL workloads with Cloud SQL's enhanced availability, performance, and management capabilities for enterprise-grade applications.
Vertex AI Gemini: Model Selection and Prompt Design Principles and Strategies
Master Vertex AI Gemini model selection and prompt design. Learn to map capabilities to use cases, craft effective prompts, and implement robust engineering strategies.
Grounding for Gemini with Vertex AI Search and DIY RAG
Integrate Gemini, multimodal embeddings, and vector search to build a production-ready RAG system for enhanced generative AI grounding.
Deploying JavaScript Frameworks to Cloud Run
Deploy popular JavaScript frameworks to Google Cloud Run quickly and efficiently, demonstrating versatility and ease of use across the ecosystem.
Building a Web Application with Gemini on Google Cloud - Hands-on Workshop
Build a Python Flask app on Google Cloud using Gemini Cloud Assist for AI-powered code generation, understanding, and deployment on Serverless.
Boost Performance of Go Applications with Profile-Guided Optimization
Optimize Go applications using profile-guided techniques. Learn runtime profiling, compiler optimization, and performance measurement on Google Cloud and beyond.
Building Generative AI Agents with Vertex AI Agent Builder and Flutter
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.
Tune and Deploy Gemini with Vertex AI and Ground with Cloud Databases
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.
Accelerate Building AI Applications with Cloud Run
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.