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Accelerate 2019: Game, Tech Track & Breakout Labs

Advanced 33 Steps 2 days 123 Créditos

This Quest is composed of the hands-on labs used in the Google Cloud SCORE! Game as well as the rest of the non-game labs corresponding to the Tech Tracks and Breakouts from the Accelerate 2019 Sales Kickoff. These labs, especially the non-game labs do not all work completely and will not all be maintained-- many of the GCP services and features used in these labs are in early alpha or beta status and are both unreliable and subject to change at any time.

Prerequisites:

Attendance at Tech Track Breakouts corresponding to the lab you are interested in.

Objectives:

Gaining credibility and hands-on experience with Google Cloud Platform features.

Audience:

Tech role attendees at Accelerate 2019.

Quest Outline

Lab práctico

Escriba aplicaciones que puedan acceder a G Suite APIs

En este lab, adquirirá experiencia práctica con la API de Google Drive (REST/HTTP). Después de habilitar la API y obtener las credenciales necesarias, hará una solicitud a la API mediante una aplicación que muestra los primeros 100 archivos y carpetas en su unidad de Drive.

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Lab práctico

Creating a Chatbot for Hangouts Using Google Apps Script

In this lab you will create a chat bot for Hangouts using Google Apps Script.

Lab práctico

Compile una aplicación web completa de base de datos utilizando App Maker

En este lab, aprenderá a utilizar Google App Maker para compilar una aplicación web conectada a una base de datos.

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Lab práctico

Prediga las compras de visitantes con un modelo de clasificación en BQML

En este lab, utilizará un conjunto de datos de comercio electrónico recientemente disponible para ejecutar algunas consultas típicas que las empresas querrían conocer sobre los hábitos de compra de sus clientes.

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Lab práctico

Cómo crear una canalización de transformación de datos con Cloud Dataprep

Cloud Dataprep de Trifacta es un servicio de datos inteligente que permite explorar, limpiar y preparar visualmente datos estructurados y no estructurados para su análisis. En este lab, explorará la IU de Cloud Dataprep para compilar una canalización de transformación de datos.

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Lab práctico

Implement a Helpdesk Chatbot with Dialogflow & BigQuery ML

In this lab you will train a simple machine learning model for predicting helpdesk response time using BigQuery Machine Learning.

Lab práctico

warning Migrating Data from Teradata to Google BigQuery

In this lab you will get hands-on practice with end-to-end migration from Teradata to Bigquery.

Lab práctico

warning Cloud Service Mesh: Provision and Monitoring

In this lab, you will walk through the experience of deploying a GKE cluster with Istio. Then you will setup up an example application and monitor it.

Lab práctico

VM Migration: Assessment

This lab demonstrates a use of an assessment tool and how to enable it on a source environment on AWS. During the lab the students will get exposure to features and capabilities they are not familiar with.

Lab práctico

VM Migration: Lift and Shift

In this lab, you will perform a lift and shift virtual machine migration of an application and database server from one Google Cloud Platform region to another disparate region by leveraging Cloud Endure’s Live Migration tool.

Lab práctico

VM Migration: Modernize

This lab will walk you through an optimization stage of a migration. In this lab you continue their migration journey from "Lift and Shift.". In this lab you migrate from MySQL on GCE to Cloud SQL (managed service).

Lab práctico

warning Deploying and Monitoring SAP S/4HANA on Google Cloud Platform

In this hands-on lab you will deploy and run a SAP S/4HANA solution and then configure basic Stackdriver Monitoring.

Lab práctico

warning Cloud Hero: Classic

Cloud Hero: Classic Challenge Lab

Lab práctico

Uso de APM de Stackdriver para solucionar problemas relacionados con la confiabilidad de sitios

El objetivo de este lab es que se familiarice con las funciones específicas de Stackdriver para supervisar la infraestructura de clústeres de GKE, Istio y aplicaciones implementadas en esta infraestructura.

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Lab práctico

Data Pipeline: Process Stream Data and Visualize Real Time Geospatial Data

Learn to use Google Dataflow to process real-time streaming data from a real-time real world historical data set, store the results in Google BigQuery, then use Google Data Studio to visualize real-time geospatial data.

Lab práctico

warning Record Linkage

Record linking is the task of identifying similar or duplicated records in a database and forming a consolidated set. You will learn the process of finding similar objects in a small dataset to explain the nuances of the problem at hand.

Lab práctico

warning Creating and Deploying a Kubeflow Machine Learning Pipeline

In this lab, you will see how to create and deploy a Kubeflow Machine Learning Pipeline.

Lab práctico

warning Developing with TPUs in Jupyter

In this lab, you will learn to use a Cloud TPU to accelerate specific TensorFlow machine learning workloads on Compute Engine.

Lab práctico

warning Training a ResNet Image Classifier from Scratch with TPUs on Cloud MLE

In this lab, you will train a state-of-the-art image classification model on your own data using Google's Cloud TPUs from CloudShell.

Lab práctico

Network Performance Testing

In this lab, you'll learn important connectivity, performance, testing, and troubleshooting techniques in the Google Cloud Networking insfrastructure environment.

Lab práctico

Cree un balanceador de cargas interno

En este lab, creará dos grupos de instancias administrados en la misma región. Luego, configurará un balanceador de cargas interno con los grupos de instancias como backends.

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Lab práctico

warning Helmsman GKE Networking

This demo strives to simplify the best practices for exposing cluster services to other clusters and establishing network links between Kubernetes Engine clusters running in separate VPCs.

Lab práctico

warning Responding to Stackdriver Messages with Cloud Functions

In this lab you will learn how to use Cloud Functions to do lightweight processing of Stackdriver Logging messages

Lab práctico

warning Serverless Compute: Microservices with Cloud Functions

In this lab you create a series of Cloud Functions that provide widget processing services

Lab práctico

Securely Expose a SOAP Service as a RESTful API Using Apigee

Starting with an existing SOAP service, you'll import it into Apigee and apply some basic security, traffic management, and message transformation policies.

Lab práctico

App Modernization with Istio Using Mixer to Apply Policies

This lab shows you how to install and configure Istio on Kubernetes Engine, deploy an Istio-enabled microservices application, install Apigee Istio Mixer plugin which provides additional security, governance , and enforces authorization via Apigee.

Lab práctico

Seamless Migration of Customer Traffic to GCP

In this lab you will learn how to leverage Apigee to transparently migrate application traffic from legacy backends to GCP-backed systems.

Lab práctico

Securely and Easily Connect to Google Stackdriver using Apigee

In this lab you will learn how to leverage Apigee Edge to integrate with Google Cloud Platform’s Stack Driver for message logging.

Lab práctico

Cómo crear un complemento de Gmail

En este lab práctico, creará un complemento de Gmail que le permitirá cambiar rápidamente las etiquetas de una conversación de correo electrónico.

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Lab práctico

warning Troubleshooting Cloud Service Mesh

In this lab, you will walk through an example of how to troubleshoot a cloud service mesh using Stackdriver.

Lab práctico

warning Getting Started with SAP HANA Express

SAP HANA is an in-memory data and application platform that makes real-time business a reality. Learn how to quickly and easily launch this significant industry platform on Google Cloud.

Lab práctico

warning Overview of GKE On-Prem - Hybrid Platform Modernization #1

In this lab, you will walk through the experience of deploying the GKE Connect agent to a GKE On-Prem cluster and registering your cluster in your GCP account. Once setup, you will be able to see your cluster in the GCP Console and manage it.

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