PracticalGCP
Welcome to #PracticalGCP!
I'm Richard He, a Software Engineering Professional who has spent over eight years specialising in crafting practical solutions on Google Cloud.
On this channel, I share practical, easy-to-follow video tutorials about data, engineering, and a new mission: bringing innovative and scalable generative AI solutions to every business.
I hope these sessions are a useful resource for you.
Disclaimer: The views and opinions expressed on this channel are my own and do not reflect those of my employer. The content is for sharing learnings only, not advice.
Connect with me on LinkedIn: https://www.linkedin.com/in/shenghuahe/
A Powerful Combination: A2A + Cloud Run + Gemini Enterprise
Мощный агент качества данных для Dataplex
![[Частично недоступно] Разверните своего агента ADK менее чем за 5 минут с помощью стартового паке...](https://ricktube.ru/thumbnail/_PU0fNGIvUw/mqdefault.jpg)
[Частично недоступно] Разверните своего агента ADK менее чем за 5 минут с помощью стартового паке...
Агент разговорной аналитики, часть 3 — Cloud Run с IAP
Агент разговорной аналитики, часть 2 — ADK и Agent Engine
Mask Banana - Mask based In-painting with Nano Banana
Conversational Analytics Agent Part 1 - Conversational Analytics API
Manage Data Quality at Scale with Dataplex and Gemini
Optimising Open Source LLM Deployment on Cloud Run
When Cloud Run Meets Deepseek
Справляйтесь с непредвиденными ситуациями, воспроизводя сообщения в Cloud Pub/Sub
Faster Data Cleansing with BigQuery Pipe Syntax
How effective is History-based Optimisations on BigQuery
Use Continuous Query and LLM to Understand Customer Feedback
Analysing Logs Using Data Canvas
Cloud Run Flow Control
Reliable and Controlled Cloud PubSub Producer
The Importance of Idempotency in Designing Data Pipelines
Secure Offline Package Management in Jupyter
Integrating PubSub Push with Cloud Run
Use BigQuery Transfer Service to Optimise a File Based CDC
Сэкономьте 50 процентов усилий по разработке данных с помощью непрерывных запросов
Stream sharing with Pub/Sub using Analytics Hub
Seamless transition of Vector Search from BigQuery to Feature Store
Запустите Cloud Composer локально
DBT Core on Cloud Run Job
Как создать устойчивую экосистему данных в Google Cloud
A practical application leveraging Langchain and BigQuery Vector Search
Scaling development teams with Cloud Workstations
Privileged Just-in-time access on Google Cloud with JIT