Daniel Waisberg

搜索技术宣讲师
Daniel 是 Google 的搜索技术宣讲师,属于 Google 搜索关系团队的一员。他的工作既包括向搜索社区提供培训服务,又包括与 Search Console 工程团队合作开发新的产品功能。具体而言,他专门研究如何使用数据来做很酷的事情,并确保大家都不再使用饼图。
此外,他还主导了 Search Console 中以开发者为中心的特定功能,例如 URL Inspection API 和批量数据导出。请查看他在 Google 搜索中心博客上发布的博文。
Authentication with Firebase
Firebase Authentication provides backend services, SDKs, and ready-made UI libraries to authenticate users to your app.
1970年1月1日
Incorporating generative AI into your game development process with Gemini and Gemma AI
Learn how generative AI can be used in different stages of game development from preproduction to in-game solutions using Gemini AI and Gemma model.
1970年1月1日
Creating a multiplayer crossword with Gemini, Flutter, and Firebase
Learn how the Google engineering teams created a multiplayer crossword using Gemini, Flutter, and Firebase.
1970年1月1日
Build an agent-powered travel planning app with Generative AI
Learn how to use Flutter and Firebase Genkit to build multi-platform apps that can seamlessly integrate with AI.
1970年1月1日
Getting started with the Gemini API and Swift
Learn how to use the Gemini API and the Google AI Swift SDK to prototype generative AI with Swift.
1970年1月1日
Getting started with the Gemini API and Dart and Flutter
Learn how to use the Gemini API and the Google AI Dart SDK to prototype generative AI in Dart and Flutter applications.
1970年1月1日
Getting started with the Gemini API and Android
Learn how to use the Gemini API and the Google AI SDK to prototype generative AI in Android applications.
1970年1月1日
Getting started with the Gemini API and Web Apps
Learn how to use the Gemini API and the Google AI JavaScript SDK to prototype generative AI for web apps.
1970年1月1日
Get started with private advertising
Build your ads solution with the Privacy Sandbox to enable your critical advertising use cases without relying on cross-site or cross-app tracking.
1970年1月1日
Move away from third-party cookies
Learn how to audit, test, and transition your site away from third-party cookies to privacy preserving solutions.
1970年1月1日
Firebase and Flutter
Add Firebase to your Flutter app with FlutterFire, a set of plugins that connect your Flutter application to Firebase.
1970年1月1日
Firebase and Google Play
This guide shows you how to enable App Check in an Android app, using the built-in Play Integrity provider.
1970年1月1日
Google Cloud monitoring and logging
Browse monitoring and logging resources for building or migrating workloads on Google Cloud.
1970年1月1日
Build your first Android app
Build your first Android app. Start the Android Basics course, browse learning resources, and explore sample apps.
1970年1月1日
Android developers
Learn best practices and get guidance you need to build apps using APIs in the Android framework and other libraries.
1970年1月1日
Cloud Architecture Center
Reference cloud architectures, guides, and best practices for Google Cloud workflows, all in one place.
1970年1月1日
Cloud jump start: Dynamic web application with Python
Explore building and running dynamic websites on Google Cloud.
1970年1月1日
Getting started with Google AI Studio, Gemini AI and NodeJS
Learn how to prototype text-based prompts with Google AI Studio and get started writing your first Gemini AI NodeJS script.
1970年1月1日
Cloud jump start: Secure CI/CD pipeline
This guide helps you use the secure continuous integration and continuous delivery (CI/CD) pipeline jump start solution.
1970年1月1日
Google Cloud storage
Browse storage resources and design an optimal storage strategy for Google Cloud workloads.
1970年1月1日
Cloud jump start: Log analysis pipeline
Understand and use the log analysis pipeline jump start solution to extract web logs from an app.
1970年1月1日
Firebase solutions
Firebase solutions feature use cases that combine Firebase products to solve common app development challenges.
1970年1月1日
Build a modern three-tier architecture web application with Cloud Run
Learn how to build a multi-tier web application with a Golang backend running on Cloud Run and using a CloudSQL database.
1970年1月1日
Big data and analytics with Google Cloud
Browse data and analytics resources for building or migrating workloads on Google Cloud.
1970年1月1日
Cloud AI and machine learning
Cloud AI and machine learning solutions offer innovative ML products and services on a trusted platform.
1970年1月1日
Leveraging the Gemini Pro Vision model for image understanding, multimodal prompts and accessibility
Explore how you can use the new Gemini Pro Vision model with the Gemini API to handle multimodal input data including text and image prompts to receive a text result. In this solution, you will learn how to access the Gemini API with image and text data, explore a variety of examples of prompts that can be achieved using images using Gemini Pro Vision and finally complete a codelab exploring how to use the API for a real-world problem scenario involving accessibility and basic web development.
1970年1月1日
Firebase and AdMob
Link AdMob with Firebase and Google Analytics to make smarter decisions based on app and ad performance insights.
1970年1月1日
Build a microservice-based ecommerce web application with Kubernetes
Learn how to build a distributed, scalable ecommerce web app using microservices on Kubernetes.
1970年1月1日
Build a serverless ecommerce web app with Python, Cloud Run, Cloud SQL, and Firebase
Learn how to build a modern serverless ecommerce web app using a Django and Cloud Run backend, Cloud SQL data storage, and Firebase.
1970年1月1日
ChromeOS and Google Play
This guide to publishing on Google Play shows you how to distribute apps and games across ChromeOS and Android.
1970年1月1日
Daniel Waisberg 发布的更多内容
除了发布博文之外,Daniel 还投入了大量时间为搜索中心 YouTube 频道制作视频。他在 Search Console 培训系列中以视频形式重点介绍了所有人可以如何开始使用 Search Console,您可能认识他。 在 Google 搜索中心 YouTube 频道上观看 Daniel Waisberg 发布的视频。
Authentication with Firebase
Updated 1970年1月1日
Firebase Authentication provides backend services, SDKs, and ready-made UI libraries to authenticate users to your app.
Incorporating generative AI into your game development process with Gemini and Gemma AI
Updated 1970年1月1日
Learn how generative AI can be used in different stages of game development from preproduction to in-game solutions using Gemini AI and Gemma model.
Creating a multiplayer crossword with Gemini, Flutter, and Firebase
Updated 1970年1月1日
Learn how the Google engineering teams created a multiplayer crossword using Gemini, Flutter, and Firebase.
Build an agent-powered travel planning app with Generative AI
Updated 1970年1月1日
Learn how to use Flutter and Firebase Genkit to build multi-platform apps that can seamlessly integrate with AI.
Getting started with the Gemini API and Swift
Updated 1970年1月1日
Learn how to use the Gemini API and the Google AI Swift SDK to prototype generative AI with Swift.
Getting started with the Gemini API and Dart and Flutter
Updated 1970年1月1日
Learn how to use the Gemini API and the Google AI Dart SDK to prototype generative AI in Dart and Flutter applications.
Getting started with the Gemini API and Android
Updated 1970年1月1日
Learn how to use the Gemini API and the Google AI SDK to prototype generative AI in Android applications.
Getting started with the Gemini API and Web Apps
Updated 1970年1月1日
Learn how to use the Gemini API and the Google AI JavaScript SDK to prototype generative AI for web apps.
Get started with private advertising
Updated 1970年1月1日
Build your ads solution with the Privacy Sandbox to enable your critical advertising use cases without relying on cross-site or cross-app tracking.
Move away from third-party cookies
Updated 1970年1月1日
Learn how to audit, test, and transition your site away from third-party cookies to privacy preserving solutions.
Firebase and Flutter
Updated 1970年1月1日
Add Firebase to your Flutter app with FlutterFire, a set of plugins that connect your Flutter application to Firebase.
Firebase and Google Play
Updated 1970年1月1日
This guide shows you how to enable App Check in an Android app, using the built-in Play Integrity provider.
Google Cloud monitoring and logging
Updated 1970年1月1日
Browse monitoring and logging resources for building or migrating workloads on Google Cloud.
Build your first Android app
Updated 1970年1月1日
Build your first Android app. Start the Android Basics course, browse learning resources, and explore sample apps.
Android developers
Updated 1970年1月1日
Learn best practices and get guidance you need to build apps using APIs in the Android framework and other libraries.
Cloud Architecture Center
Updated 1970年1月1日
Reference cloud architectures, guides, and best practices for Google Cloud workflows, all in one place.
Cloud jump start: Dynamic web application with Python
Updated 1970年1月1日
Explore building and running dynamic websites on Google Cloud.
Getting started with Google AI Studio, Gemini AI and NodeJS
Updated 1970年1月1日
Learn how to prototype text-based prompts with Google AI Studio and get started writing your first Gemini AI NodeJS script.
Cloud jump start: Secure CI/CD pipeline
Updated 1970年1月1日
This guide helps you use the secure continuous integration and continuous delivery (CI/CD) pipeline jump start solution.
Google Cloud storage
Updated 1970年1月1日
Browse storage resources and design an optimal storage strategy for Google Cloud workloads.
Cloud jump start: Log analysis pipeline
Updated 1970年1月1日
Understand and use the log analysis pipeline jump start solution to extract web logs from an app.
Firebase solutions
Updated 1970年1月1日
Firebase solutions feature use cases that combine Firebase products to solve common app development challenges.
Build a modern three-tier architecture web application with Cloud Run
Updated 1970年1月1日
Learn how to build a multi-tier web application with a Golang backend running on Cloud Run and using a CloudSQL database.
Big data and analytics with Google Cloud
Updated 1970年1月1日
Browse data and analytics resources for building or migrating workloads on Google Cloud.
Cloud AI and machine learning
Updated 1970年1月1日
Cloud AI and machine learning solutions offer innovative ML products and services on a trusted platform.
Leveraging the Gemini Pro Vision model for image understanding, multimodal prompts and accessibility
Updated 1970年1月1日
Explore how you can use the new Gemini Pro Vision model with the Gemini API to handle multimodal input data including text and image prompts to receive a text result. In this solution, you will learn how to access the Gemini API with image and text data, explore a variety of examples of prompts that can be achieved using images using Gemini Pro Vision and finally complete a codelab exploring how to use the API for a real-world problem scenario involving accessibility and basic web development.
Firebase and AdMob
Updated 1970年1月1日
Link AdMob with Firebase and Google Analytics to make smarter decisions based on app and ad performance insights.
Build a microservice-based ecommerce web application with Kubernetes
Updated 1970年1月1日
Learn how to build a distributed, scalable ecommerce web app using microservices on Kubernetes.
Build a serverless ecommerce web app with Python, Cloud Run, Cloud SQL, and Firebase
Updated 1970年1月1日
Learn how to build a modern serverless ecommerce web app using a Django and Cloud Run backend, Cloud SQL data storage, and Firebase.
ChromeOS and Google Play
Updated 1970年1月1日
This guide to publishing on Google Play shows you how to distribute apps and games across ChromeOS and Android.