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Accelerate 2019: Game, Tech Track & Breakout Labs

Advanced 33 Steps 2 days 123 Credits

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

Praxisorientiertes Lab

Apps schreiben, die auf G Suite APIs zugreifen

In diesem Lab sammeln Sie praktische Erfahrungen mit der Google Drive API (REST/HTTP). Nachdem Sie sie aktiviert und die erforderlichen Anmeldedaten erhalten haben, stellen Sie über eine Anwendung eine API-Anfrage, mit der die ersten 100 Dateien und Ordner in Ihrer Drive-Ablage aufgelistet werden.

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Praxisorientiertes Lab

Creating a Chatbot for Hangouts Using Google Apps Script

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

Praxisorientiertes Lab

Eine vollständige Datenbank-Web-App mit App Maker erstellen

In diesem Lab lernen Sie, wie Sie mit Google App Maker eine Web-App erstellen, die mit einer Datenbank verbunden ist.

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Praxisorientiertes Lab

Kaufverhalten von Websitebesuchern mit einem Klassifizierungsmodell in BQML vorhersagen

In diesem Lab führen Sie mit einem neu verfügbaren E-Commerce-Dataset einige typische Abfragen aus, die Unternehmen Aufschluss über das Kaufverhalten ihrer Kunden geben.

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Praxisorientiertes Lab

Eine Pipeline zur Datentransformation mit Cloud Dataprep erstellen

Cloud Dataprep von Trifacta ist ein intelligenter Datendienst für die visuelle Untersuchung, Bereinigung und Vorbereitung von Daten für Analysen. In diesem Lab machen Sie sich mit Cloud Dataprep vertraut und erstellen eine Pipeline zur Datentransformation.

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Praxisorientiertes Lab

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.

Praxisorientiertes Lab

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.

Praxisorientiertes Lab

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.

Praxisorientiertes Lab

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.

Praxisorientiertes Lab

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.

Praxisorientiertes Lab

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).

Praxisorientiertes Lab

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.

Praxisorientiertes Lab

warning Cloud Hero: Classic

Cloud Hero: Classic Challenge Lab

Praxisorientiertes Lab

Zuverlässigkeitsprobleme von Websites mit Stackdriver APM beheben

In diesem Lab machen Sie sich mit den Funktionen von Stackdriver zum Monitoring der GKE-Clusterinfrastruktur, mit Istio und mit auf dieser Infrastruktur bereitgestellten Anwendungen vertraut.

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Praxisorientiertes Lab

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.

Praxisorientiertes Lab

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.

Praxisorientiertes Lab

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.

Praxisorientiertes Lab

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.

Praxisorientiertes Lab

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.

Praxisorientiertes Lab

Network Performance Testing

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

Praxisorientiertes Lab

Internen Load-Balancer erstellen

In diesem Lab erstellen Sie zwei verwaltete Instanzgruppen in derselben Region. Dann konfigurieren Sie einen internen Load-Balancer mit den Instanzgruppen als Back-Ends.

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Praxisorientiertes Lab

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.

Praxisorientiertes Lab

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

Praxisorientiertes Lab

warning Serverless Compute: Microservices with Cloud Functions

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

Praxisorientiertes Lab

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.

Praxisorientiertes Lab

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.

Praxisorientiertes Lab

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.

Praxisorientiertes Lab

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.

Praxisorientiertes Lab

Gmail-Add-on erstellen

In diesem praxisorientierten Lab erstellen Sie ein Gmail-Add-on, mit dem Sie die Labels einer E-Mail-Konversation schnell ändern können.

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Praxisorientiertes Lab

warning Troubleshooting Cloud Service Mesh

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

Praxisorientiertes Lab

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.

Praxisorientiertes Lab

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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