Google Cloud Api Design

Last modified 15h ago. Features of google’s healthcare api: A subset of google cloud services. Provides a robust and scalable solution to manage data of all types. Google cloud healthcare api is a. Application programming interface (api) can ensure a faster code. Thus, it is necessary to have consistently designed apis. This course named, “api design and fundamentals of google.

A subset of google cloud services. Provides a robust and scalable solution to manage data of all types. Google cloud healthcare api is a. Application programming interface (api) can ensure a faster code. Thus, it is necessary to have consistently designed apis. This course named, “api design and fundamentals of google. To see available cloud apis, see google cloud apis in the google cloud console api library. Overview this codelab will give you a quick tour of a few machine learning apis. Cloud vision to understand the content of an image; Learn about api design patterns, principles, and best practices used by some of the world’s leading api teams.

Features of google’s healthcare api: A subset of google cloud services. Provides a robust and scalable solution to manage data of all types. Google cloud healthcare api is a. Application programming interface (api) can ensure a faster code. Thus, it is necessary to have consistently designed apis. This course named, “api design and fundamentals of google. To see available cloud apis, see google cloud apis in the google cloud console api library. Overview this codelab will give you a quick tour of a few machine learning apis.

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Designing Quality APIs (Cloud Next '18)



A quality API has to satisfy demands of ease of use, ease of learning, stability in the face of change, and compatibility with client tools and technologies. Adding to the challenge is the fact that there are two irreconcilable conceptual models for API designs — RPC and REST. Come and learn how to think about the RPC/REST dichotomy and understand the problems and solutions of quality API design—regardless of the model chosen. We will also present some of the major GCP services and tools that are used to implement APIs in both models.

DEV230

Event schedule → g.co/next18

Watch more Application Development sessions here → bit.ly/2zMcTJc
Next ‘18 All Sessions playlist → bit.ly/Allsessions

Subscribe to the Google Cloud channel! → bit.ly/NextSub

re_ty: Publish; product: Cloud - General; fullname: Martin Nally; event: Google Cloud Next 2018;

Better API Design with OpenAPI (Cloud Next '18)



OpenAPI is a vendor neutral, portable, open specification for designing, describing, and deploying APIs. It enables you to describe APIs in a manner consumable by humans and apps. Learn why OpenAPI is useful throughout the API lifecycle, from brainstorming to consumption.

Event schedule → g.co/next18

Watch more Application Development sessions here → bit.ly/2zMcTJc
Next ‘18 All Sessions playlist → bit.ly/Allsessions

Subscribe to the Google Cloud channel! → bit.ly/NextSub

event: Google Cloud Next 2018; re_ty: Publish; product: Cloud - General; fullname: Marsh Gardiner; event: Google Cloud Next 2018;

How to build APIs for serverless workloads with Google Cloud



Serverless computing allows developers to create highly scalable applications and services. In this video, we demo Google Cloud’s API Gateway - a tool that helps you create, secure, and monitor APIs for many of Google Cloud serverless backends - such as Cloud Functions, Cloud Run, and more! Watch to learn how you can provide secure access to your backend services through a well-defined REST API, providing consistency across all of your services, regardless of the service implementation.

Timestamps:
0:00 - Overview
1:08 - Why Serverless APIs
1:39 - Google Cloud API Gateway Intro
3:01 - Demo
5:34 - Key use cases

Watch more videos like this → goo.gle/3aSzKli
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech

product: Google Cloud API Gateway; fullname: Priyanka Vergadia;

API Design and What's new with Open API (Google Cloud Next '17)



Apigee and Google are active participants in developing the third draft of the Open API Initiative (OAI) Spec. In this video, hear what's new with the the Open API Specification (OAS) -- the vendor-neutral, portable, and open specification for providing technical metadata for REST APIs as well as latest trends in API design including topics such as Hypermedia and how the evolving OAI spec influences common patterns. Not just trends - this video is filled with real world examples.

Missed the conference? Watch all the talks here: goo.gl/c1Vs3h
Watch more talks about Connected Business Platform here: goo.gl/CtHNJm

Designing the Right Security Architecture for your APIs (Cloud Next '19)



APIs are the avenue through which enterprise data is being exposed to the world. Their adoption is increasing with the advent of cloud native and microservice based applications. However, traditional tools and methods used to secure web applications are ineffective to secure APIs.

Choosing the right architecture and set of tools is critical to securing APIs. Implementing a faulty security architecture may result increase the probability of data breaches and potential damage to the brand image.

In this session, you’ll learn about the security threats that APIs face and discuss best practices around securing them. You’ll get a comprehensive view of the state-of-the-art API security architecture and learn about the tools for monitoring and governance that allow your teams to innovate at speed, securely.

Security APIs Architecture → bit.ly/2IlJUj1

Watch more:
Next '19 Security Sessions here → bit.ly/Next19Security
Next ‘19 All Sessions playlist → bit.ly/Next19AllSessions

Subscribe to the GCP Channel → bit.ly/GCloudPlatform

Subscribe to the Apigee API Management Channel → youtube.com/apigee

Speaker(s): Matt Blumberg, Joel D'sa

Session ID: SEC218
product: Cloud - General; fullname: Matt Blumberg, Joel D'sa; event: Google Cloud Next 2019;

Apigee demo



Read more here→ goo.gle/3bm6e8f

In this webcast, you will learn key API management principles such as designing, securing, logging, versioning and monitoring. We’ll also show step-by-step demo of how to execute these concepts on the Apigee API management platform.

Chapters:
0:00 - Intro
0:24 - Brief overview of API Management and Apigee
9:50 - Demo
37:50 - Q&A

Watch more videos like this → goo.gle/3aSzKli
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech

Product: Apigee; fullname: Keith Danekind;

How to architect an AI/ML powered Healthcare platform on Google Cloud



Vida Health → goo.gle/3mVWJnA
Blog → goo.gle/3terhSr

Ever wonder how healthcare companies deal with massive amounts of data from multiple sources? In this episode of Architecting with Google Cloud, Priyanka Vergadia speaks with Amol Kher, VP of Engineering from Vida Health, about how they use AI and ML to manage and automate all of the tasks that aren’t member-facing, so providers can focus their time and energy on their patients. You will see them discuss the Data Analytics pipeline and their application architecture on Google Cloud.

Chapters:
0:00 - Intro
1:00 - Business challenges that Vida Health set out to solve in the healthcare space.
1:39 - Why did Vida Health choose Google Cloud?
4:00 - Vida Health’s ML/AI solution built on Google Cloud
6:40 - Data Pipeline Architecture on Google Cloud
11:14 - Securing the data on Google Cloud
14:18 - Application Architecture
15:25 - How did Vida Health migrate their application to Google Cloud
17:13 - Partners & teams that helped bring this architecture to life
17:30 - New things Vida Health is exploring Healthcare API, FHIR capabilities on Google Cloud
19:35 - Summary

Architecting with Google Cloud playlist → goo.gle/3g7xAC9
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech

#ArchitectingWithGoogleCloud

product: Cloud - Data Analytics - BigQuery; fullname: Priyanka Vergadia; re_ty: Publish;

Create a Google Cloud Platform API



Follow the instructions to establish a Compute Engine API, a Cloud Resource Manager API, and a service account in GCP.

Chapter #9 - How to design data pipeline on gcp (Google Cloud Platform)



Chapter #9 - Designing data pipeline solution on GCP
#datapipeline #googlecloud #gcp

What is Data Pipeline? - youtu.be/PjBhIDOdLM0

***Google Cloud Platform Beginner Series***

Google Cloud Platform Beginner Series (2020) - youtube.com/watch?v=OzwSBbuHY-0&list=PLcnJIHtHiTA2Jp3klIkeHiwqGrxjXBzh6

***Networking Basics Playlist***
Networking and Infra Concepts - youtube.com/playlist?list=PLcnJIHtHiTA0C9UXgU2C6eTQMVFzSlIdP

*** Other Popular Playlists***

Crunching Data Series (2020) - youtube.com/playlist?list=PLcnJIHtHiTA2HmIleev4scARSFwrQ0bIy

Latest technology tutorial (2020) -
youtube.com/watch?v=l5UcUEt1IzM&list=PLcnJIHtHiTA2Hdgon51_-G3Kt43hcU6kI

Hi Friends, I am Anshul Tiwari, and welcome to our youtube channel IT k Funde.

More about this video -
In this video, we will learn something different, instead of discussing any specific product on google cloud platform, we will learn how to design a data pipeline solution on google cloud platform.

This will help us in 2 ways -

1. This will helps us improve our design thinking
2. We will get an overview of all google cloud products that can be used in developing a data pipeline.

We will start with understanding a typical on premise data pipeline and enterprise data warehouse (edw) design. We will then take this same solution and try to implement it on google cloud platform.

On-Prem solution design contains below products -
#Streaming data - Apache Kafka
#ETL - Informatica, IBM Datastage, SAP Data Services
#EDW - Teradata
#Dashbaords & reporting - Tableau and SAP Business Objects

GCP cloud design contains below products -
#Streaming data - Cloud PubSub
#ETL - Cloud Data Fusion
#Storage - Google Cloud Storage
#EDW - Google Big Query
#Dashboards - Looker, Google Data Studio
#ML - AutoML
#Metadata Management - Data Catalog

PLEASE WATCH ALL THE VIDEOS IN ANY PLAYLIST FOR BETTER UNDERSTANDING !!

Credits & Resources for further study -
GCP resources documentation for detailed study -
#Cloud PubSub - cloud.google.com/pubsub/docs/overview
#Cloud Data Fusion - cloud.google.com/data-fusion/docs/concepts/overview
#Google Cloud Storage - cloud.google.com/storage/docs/quickstart-console
#Google Big Query- cloud.google.com/bigquery/docs/quickstarts
#Data Studio - cloud.google.com/bi-engine/docs/getting-started-data-studio
#Looker - docs.looker.com/
#AutoML - cloud.google.com/automl/docs
#Data Catalog - cloud.google.com/data-catalog/docs

images - pixabay.com

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***About This Channel***
Friends ITkFUNDE channel wants to bring I.T. industry knowledge, information, career advice, and much more to every individual regardless of whether he or she belongs to I.T or not. This channel is for everyone interested in learning something new!

API product strategy



Read more here→ goo.gle/3vHLuRE

Join us as we share best practices for defining your API Product Strategy.

Watch more videos like this → goo.gle/3aSzKli
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech

Product: Apigee; fullname: Maria Snaider;

How to build a modern banking app with Google Cloud



Sample code repository → goo.gle/3LsWPfA
Cloud for financial services → goo.gle/3tTGjzh
Tutorial: Use Google Kubernetes Engine to build a modular digital banking application → goo.gle/3vGFQRT

Welcome back to Build with Google Cloud, where we aim to make building your app in the cloud easier. In this episode, Developer Advocate Priyanka discusses an approach to building a modern banking platform in the cloud. Watch to learn about the power of Google Cloud and how you can also leverage the cloud to build a modern banking platform.

Chapters:
0:00 - Intro
0:47 - The current state of banking
1:35 - Banking as a service model architecture
2:24 - APIs for banking
3:21 - Let us know in the comments
3:35 - High level overview
6:06 - The architecture
6:36 - Channel services
7:01 - The customer applications
7:13 - The integration layer (API connectors)
8:00 - Event / Transformation hub
8:14 - Data for enterprise use
8:47 - Back end services
9:16 - Core application services
9:49 - Core security and operational services
10:19 - Sample application code
10:32 - Wrap up

Watch more Build With Google Cloud → goo.gle/3gZm6Rs
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech

#BuildWithGoogleCloud

product: Cloud - General; fullname: Priyanka Vergadia;

Designing a serverless app on Google Cloud



Looking to design a serverless app on Google Cloud but unsure which products to use? This video covers step by step where to host your app, what database to use, and how to schedule nightly jobs to compare expected vs. actual data.

Timestamps:
0:00​ - Intro
1:40 - Web front-end
2:52 - Storage
4:25 - Schedule nightly jobs
5:20 - Run nightly jobs reliably
7:59 - Email the results of the nightly jobs
9:57 - Create a dashboard
12:00 - Walkthrough of the finished design
13:00 - Wrap-up

Checkout more episodes of Serverless Expeditions → goo.gle/ServerlessExpeditions
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech

#ServerlessExpeditions​

Product: Cloud Workflows, Cloud Console; fullname: Martin Omander, Dina Graves;

API Product Management (Google Cloud Next '17)



Unlike a previous generation of APIs that connected big enterprise systems but remained under IT’s lock and key, modern APIs must be managed as products -- designed to accelerate, delight and support any developer’s journey. This video discusses how API product management is different, best practices for managing APIs as products, and lessons learned from Jon Spinney, Director of Product Management at Pitney Bowes, a global technology company processing billions of commerce transactions a day.

Missed the conference? Watch all the talks here: goo.gl/c1Vs3h
Watch more talks about Connected Business Platform here: goo.gl/CtHNJm

Machine Learning APIs by Example (Google Cloud Next '17)



Think your business could make use of Google's machine learning expertise when it comes to powering and improving your business applications, but do you get stuck on building and training your own custom model? Google Cloud Platform (GCP) offers five APIs: Google Cloud Vision API, Cloud Speech API, Cloud Natural Language API, Cloud Translation API and Cloud Video API. These APIs access pre-trained machine learning models with a single API call. In this video, Sara Robinson shares an overview of each API. Then she dives into code with a live demo.

Want the code for the demos in this talk? It's here: github.com/sararob/ml-talk-demos

Check out some hands-on Qwiklabs:
Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API → bit.ly/2lO07A0
Google Cloud Speech API: Qwik Start → bit.ly/2lNKSXS
Cloud Natural Language API: Qwik Start → bit.ly/2tWUOSx
Translate Text with the Translation API → bit.ly/2lTl6BL
Cloud Video Intelligence and Cloud Vision APIs → bit.ly/2IJIs5K

Missed the conference? Watch all the talks here: goo.gl/c1Vs3h
Watch more talks about Big Data & Machine Learning here: goo.gl/OcqI9k

How To Design A Good API and Why it Matters



Google Tech Talks
January 24, 2007

ABSTRACT

Every day around the world, software developers spend much of their time working with a variety of Application Programming Interfaces (APIs). Some are integral to the core platform, some provide access to widely distributed frameworks, and some are written in-house for use by a few developers. Nearly all programmers occasionally function as API designers, whether they know it or not. A well-designed API can be a great asset to the organization that wrote it and to all who use it. Good APIs increase the pleasure and productivity of the developers who use them, the quality of the software they produce, and ultimately, the corporate bottom line....

How to build digital e-commerce platform on Google Cloud



How to build a digital commerce platform on Google Cloud → goo.gle/3rsFNac
Building a headless ecommerce platform on Google Cloud → goo.gle/3gln369
Headless Commerce Code Sample → goo.gle/3nHTCPB

You’ve built an ecommerce platform but you want to meet the growing needs of the users, which means you need to modernize it. In this episode of Build With Google Cloud, Priyanka Vergadia discusses the different architecture options that are available to you to build and modernize your digital commerce platform.

Chapters:
0:00 - Intro
1:00 - Options to run retail ecommerce on Google Cloud
4:10 - Architecture for building your own ecommerce platform on Google Cloud while migrating & improving along the way using containers
7:59 - Benefits of Migrate and improve approach
8:50 - Architecture for building your own ecommerce platform on Google Cloud while migrating your existing platform as-is using Google Compute Engine
10:47 - How to progress from migration to modernized fully containerized architecture?
11:50 - Modernization benefits
12:50 - Architecture for headless commerce solution
15:00 - Summary

Modern retail commerce code sample → goo.gle/3fFzQ2Y
SAP Hybrid Deployment Architecture → goo.gle/3KpLSLJ
API Management → goo.gle/33UnGAI
Recommendations AI → goo.gle/3nDLgse
Vision API Product Search → goo.gle/3qFLu3V
Commercetools Platform → goo.gle/3ruaUkp

Build With Google Cloud → goo.gle/BuildWithGoogleCloud
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech

#BuildWithGoogleCloud

product: Cloud - General; fullname: Priyanka Vergadia;

Designing a serverless finance system on Google Cloud



Identity Aware Proxy → goo.gle/3DqLybV
App Engine → goo.gle/3co26FC
Cloud SQL → goo.gle/3codnWw

It’s time to design another serverless app! Let’s say you need a process for your employees and vendors to submit expenses so the accounting department can review the data and then send out payments. However, you don’t want the vendors gaining unauthorized access to your app and you don’t know all the form’s input fields because they can change for every event. In this episode of Serverless Expeditions, we hear Martin and Dina discuss how to build your finance system on Google Cloud Platform.

Chapters:
0:00​ - Intro
0:40 - Use Cases
1:37 - Web App for Employees
2:38 - Storage of Financial Data
4:08 - Web App for Vendors
5:45 - Ingesting Invoice Images
8:13 - Parsing Invoice Images
13:18 - Wrap Up

Identity Platform → goo.gle/3cmSqv1
Cloud Storage → goo.gle/3kI7BmT
Cloud Functions → goo.gle/3DyCRMU
Vision AP → goo.gle/3kLQP6m
Firestore → goo.gle/3cpvlrD

Checkout more episodes of Serverless Expeditions → goo.gle/ServerlessExpeditions​
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech​

#ServerlessExpeditions​

product: Cloud - Serverless Computing - Cloud Run; fullname: Martin Omander;

API-first application development



By abstracting data and services as APIs and extending them for no-code app development, you can accelerate development timelines considerably and reduce application backlogs. In this video, we show you can leverage APIs to build applications without coding, using Apigee and Appsheet. Watch to learn how you can easily build applications with these tools!

Timestamps:
0:00 - Introduction
0:22 - Overview
1:32 - Why API-first & no-code?
2:22 - Demo
5:03 - Resources

Learn more about AppSheet → goo.gle/3cHM8Fv
Learn more about Apigee → goo.gle/3n6Ji1U

Watch more videos like this → goo.gle/3aSzKli
For latest releases, please subscribe to the GCP Channel → goo.gle/GCP

product: Apigee, AppSheet; fullname: Carter Morgan;

Implementing the Job Search API



Google’s Cloud Talent Solution leverages machine learning and creates a better job search experience. In this video, Jenny Brown explains the best ways to implement the Cloud Talent Solution Job search API and planning details.

Cloud Talent Solution overview → bit.ly/2BQRkFW

Cloud Talent Solution Playlist → bit.ly/2VnCQom
Subscribe to the GCP Channel → bit.ly/GCloudPlatform

product:Cloud Talent Solutions,Cloud; fullname:Jenny Brown;

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Google Cloud Api Design, Designing Quality APIs (Cloud Next '18), 56.1 MB, 40:51, 54,231, Google Cloud Tech, 2018-07-26T21:00:20.000000Z, 19, Google Cloud Apigee Certified API Engineer – Elearners365, elearners365.com, 1800 x 1200, png, The google ads api can be called either using grpc or rest. Designing actions on google. Creating actions for the google assistant requires a breadth of design expertise (for example, voice user interface design, interaction design, visual. Google cloud apis guide. , 20, google-cloud-api-design, Design Ideas

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