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Online kursus: Google Cloud

Teknologisk Institut
365 dage
E-learning
Fjernundervisning
Startdato: 29-12-2019 - Fjernundervisning
9.999 DKK ekskl. moms

Kursusbeskrivelse

Bliv grundigt sat ind i Google Cloud SQL med en kursuspakke, der hjælper dig til let at oprette, vedligeholde, styre og administrere dine databaser. Kurserne er på engelsk og foregår online, når det passer dig. Du har adgang til online kurserne i 365 dage.

Introduktion

Kursuspakken tilbyder forskellige værktøjer til at udføre de påkrævede opgaver, der opstår i arbejdet med at skabe og vedligeholde Cloud SQL miljøer. Med kursuspakken får du indblik i, hvad Cloud SQL kan tilbyde og lærer blandt andet, hvordan du benytter Google Developers Console til skabe og styre instances med Cloud SQL. Du vil blive bekendt med, hvordan Google App Engine kan arbejde sammen med Google Cloud SQL samt de fundamentale aspekter ved Google Cloud Platform Container Engine og Compute Engine. Derudover vil du få kenskab til forskellige lagringsmuligheder, som Google Cloud Datastore og lære om den basale sammenhæng, der findes mellem Big Data og Machine Learning på Google Cloud Platform.

Deltagerprofil

Kursuspakken henvender sig til solution developers, solution architects og folk der arbejder med system operations og gerne vil lære at anvende Google Cloud SQL til at implementere og vedligeholde Cloud SQL environments. Derudover er kursuspakken til dig, der ønsker at opnå Google Qualified Cloud SQL Developer certification og til de IT-fagfolk, ingeniører og udviklere, der evaluerer eller implementerer applikationsmiljøer på Google Cloud Platform.


Google Cloud SQL for Developers: Instance Management in the Developers Console
  • Start the course
  • Describe Cloud SQL
  • Describe the benefits and features of Cloud SQL
  • Identify the billing plans Google offers for Cloud SQL
  • Describe the regions and zones used for Google Cloud Platform for storing data in Cloud SQL
  • Create a basic instance in Cloud SQL using the Developers Console
  • Define a network and specify external address in Google Cloud Platform
  • Define the external networks allowed to connect to a Cloud SQL instance using an IP address using the Developers Console
  • Create a client SSL certification to connect to a Cloud SQL instance using Secure Socket Layer protocol using the Developers Console
  • Configure MySQL flags for a Cloud SQL instance using the Developers Console
  • Create a database in a Cloud SQL instance using the Developers Console
  • Create user accounts to allow applications to connect to MySQL instance via IP using the Developers Console
  • Edit the settings defined for a Cloud SQL instance using the Developers Console
  • Schedule backups and review backup history for a Cloud SQL instance using the Developers Console
  • Restore a Cloud SQL instance from a backup, including to another instance, using the Developers Console
  • Describe Cloud SQL Replication
  • Enable Cloud SQL Read Replicas
  • Stop, start, promote, and check the status of a Cloud SQL read replica
  • Enable external read replicas for a Cloud SQL instance
  • View Cloud SQL instance usage data in the Developers Console
  • View Cloud SQL instance operation logs and view and export MySQL error logs
  • Add a project member to manage a Cloud SQL instance
  • Import data to Cloud SQL through the Developers Console
  • Export data from Cloud SQL through the Developers Console
  • Migrate MySQL 5.5 to MySQL 5.6 using the Developers Console
  • Create and manage a Google Cloud SQL Instance using the Developers Console
Google Cloud SQL for Developers: Interacting, Connecting, and Management
  • Start the course
  • Install the MySQL client and configure the instance to allow access
  • Identify connection strings for user accounts and connect to a Cloud SQL instance using the MySQL client
  • Connect to a Cloud SQL instance using an SSL connection
  • Use the MySQL client to manage a Cloud SQL instance
  • Connect to Cloud SQL using MySQL client from Google Cloud Compute Engine instance
  • Connect to Cloud SQL instances using MySQL Workbench, including SSL connections
  • Connect to Cloud SQL instances using Toad for MySQL, including SSL connections
  • Connect to Cloud SQL instances using SQuirrel SQL
  • Connect to Cloud SQL instances using SSL connections to SQuirrel SQL
  • Authorize a Java application in Google App Engine to access Cloud SQL
  • Grant access to a Cloud SQL instance for the Python app in App Engine and create the database and tables it will use
  • Identify the size and access limits to Cloud SQL from the Google App Engine applications
  • Describe the REST API provided by Cloud SQL and OAuth 2.0 used to authorize requests
  • Install the Google Cloud SDK and ensure the Cloud SQL API is installed
  • Perform basic tasks using the Cloud SQL API
  • Perform imports and exports, create SSL certificates, and assign IPv4 addresses using the Cloud SQL API in a Cloud SQL instance
  • Perform imports and exports using the Cloud SQL API in a Cloud SQL Instance
  • Perform backups using the Cloud SQL API for a Cloud SQL instance
  • Perform point-in-time recovery using the Cloud SQL API for a Cloud SQL instance
  • Use the client libraries to allow client applications access to use the Google Cloud SQL API to manage a Cloud SQL instance
  • Identify and verify connections to a Cloud SQL instance
  • Identify performance issues in a Cloud SQL instance
  • Connect to a Cloud SQL instance using the MySQL client and manage an instance using the Google Cloud SDK
Google Cloud
  • Start the course
  • Explain the value features of Google Cloud Platform products and services
  • Identify the components of the Google Cloud Platform services components including Compute Engine, App Engine, Container Engine, container registry, and cloud function
  • Identify the components of the Google Cloud Platform services components including Storage and Databases: Cloud Storage, Cloud SQL, Cloud Bigtable, Cloud Datastore, and Persistent Disk
  • Identify the components of the Google Cloud Platform Big Data services including BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Datalab, Cloud Pub/Sub, and Genomics
  • Identify the components of the Google Cloud Platform networking services components including: cloud virtual network, cloud load balancing, cloud CDN, cloud interconnect, and cloud DNS
  • Define the concepts and components associated with the Google Cloud infrastructure and services
  • Define Google Cloud regions with examples
  • Define Google Cloud zones with examples
  • Differentiate between Cloud Platform's platform as a service (PaaS), Software-as-a-Service (SaaS), and infrastructure as a service (IaaS)
  • Identify the features of Google Cloud Platform's storage and database services
  • Identify the features of Google Cloud Platform's networking services
  • Identify the features of Google Cloud Platform's Big Data services
  • Manage platform projects, permissions, and resources
  • Register for a free trial with Google Cloud Platform using a Gmail account
  • Create a project using the Google Cloud Platform Console
  • Realize options for identity and access management
  • Deploy a LAMP stack using Google Cloud Launcher
  • Recognize different ways to interact with the Google Cloud Platform
  • Recognize the basic components, terms, and features of Google Cloud Platform
Container, Compute, and App Engine with Networking Services
  • Start the course
  • Describe Google's Container Engine and Kubernetes
  • Define the concept of a container registry
  • Deploy an application by creating a container and using the Google Cloud SDK
  • Create an image and push it to the Container Registry
  • Use kubectl to deploy an application to a container
  • Identify characteristics and purpose of Google Compute Engine Networking Service
  • Describe the relationship between networks, instances, and firewalls
  • Create a network in the Web UI
  • Create IP addresses in the Web UI
  • Create firewall rules in the Web UI
  • Describe networks and route collection
  • Describe IP forwarding
  • Describe Network Address Translation gateways
  • Describe network load balancing and HTTP load balancing
  • Identify the purpose and benefits of Google App Engine
  • Compare traditional builds with Google App Engine builds
  • Survey and define the various App Engine services
  • Compare the App Engine Standard and App Engine Flexible environments
  • Deploy a Python application to the App Engine environment
  • Identify GCP attributes of Compute, Container, and App Engine as well as networking services
Google Cloud Big Data and Machine Learning
  • Start the course
  • Identify the purpose and characteristics of Google Cloud Datastore
  • Define various datastore terms including kind, entity, property, keys, and entity groups
  • Define development libraries, queries, and indexes
  • Deploy an App Engine application backed by Google Datastore
  • Identify the features of Google Cloud Storage
  • Identify the features of Google Cloud SQL
  • Identify the features of Google Cloud Bigtable
  • Create a Google Cloud Storage bucket and use it to store images
  • View objects using the Cloud Storage Browser
  • Identify considerations for deployment of Cloud Storage required Applications
  • Identify characteristics and purpose of Google Cloud Big Data and Machine Learning platforms
  • Recognize loading a CSV File Into a BigQuery Table
  • Recognize querying data using the CLI
  • Recognize querying data using BigQuery Web UI
  • Recognize querying data using BigQuery Shell
  • Perform interactive queries using BigQuery
  • Review the basic features of datastore, storage options, big data, and machine learning

Tidsforbrug

Hele kursuskollektionen kan gennemføres på ca. 8 timer.

Eksamen

Kursuspakken dækker emner der er omfattet af Google Cloud SQL Qualification eksamen CPE303.

Form

Denne online kursuspakke består af flere forskellige kurser, som du ved tilmelding har adgang til i 365 dage. Hvert enkelt kursus er opdelt i flere kursusmoduler, som du via en oversigtsmenu kan tage i den rækkefølge, du ønsker. Modulerne indeholder lyd, billeder og tekst, der gennemgår kursusindholdet. Nogle moduler indeholder små videofilm med scenarier og cases. Ved hvert kursus har du mulighed for at teste din forståelse af indholdet med tests, som du kan tage både før, under og efter kurset. Du gennemfører kursusmodulerne via din computer eller tablet med lyd og adgang til Internettet. Du kan selv styre, hvornår du vil tage modulerne – og de kan sættes på pause undervejs. Der bliver indsat bogmærker, der hvor du er nået til, så du altid har mulighed for at fortsætte, hvor du sidst kom til.
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