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3 Januar 2017

Beste 9-Schulungen mit Google Cloud Platform

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Mit der Google Cloud Platform können Sie Anwendungen in dem äußerst anpassungsfähigen und zuverlässigen Google-Framework für Ihre Web-, portablen und Backend-Systeme herstellen, testen und bereitstellen.

Cloud Platform bietet eine vollständige Palette von Cloud-Elementen und -Verwaltungen für PC, Archivierung, Organisation, große Informationen, maschinelles Lernen, Operationen, und das ist nur die Spitze des Eisbergs.

Google Cloud Platform-Ressourcen

Die Cloud Platform umfasst eine Anordnung physischer Ressourcen, z. B. PCs und Festplattenlaufwerke, sowie virtuelle Ressourcen, z. B. virtuelle Maschinen (VMs), die in den Serverfarmen von Google weit und breit enthalten sind. Jeder Serverfarmbereich befindet sich in einem weltweiten Gebietsschema. Die Distrikte umfassen Zentralamerika, Westeuropa und Ostasien. Jedes Gebiet ist eine Ansammlung von Zonen, die innerhalb des Gebiets voneinander getrennt sind. Jede Zone wird durch einen Namen erkannt, der eine Buchstabenkennung mit dem Namen des Bereichs konsolidiert. Zum Beispiel wird die Zone an im Ostasien-Bezirk asia-east1-a genannt.

Diese Übertragung von Vermögenswerten bietet einige Vorteile, die Wiederholung im Falle von Enttäuschung und verminderter Inertheit beinhalten, indem Vermögenswerte näher bei den Kunden gefunden werden. Diese Zirkulation enthält zusätzlich einige Standards, wie Vermögenswerte gemeinsam genutzt werden können.

Im Folgenden finden Sie die besten Schulungen und Zertifizierungen in der Google Cloud Platform:

  • Lösungsentwickler Schritt 1 Platform Fundamentals (CP100A)
  • Lösungsentwickler Schritt 2 Entwickeln von Lösungen für Google Cloud (CPD200)
  • Google Container Engine und Kubernetes
  • Google Cloud Platform für System Operations Professionals
  • Google Cloud Platform für Solutions Architects - CPA200
  • Google Cloud Platform für Big Data und maschinelles Lernen
  • Google Cloud Platform - Qualifizierter Datenanalytiker (CPE201)
  • Google Cloud Dataflow-Programmierung und Pub / Sub
  • Google Big Query für Datenanalysten (CPB200)

 

  1. GOOGLE CLOUD PLATTFORM FUNDAMENTALS - CP100A

In dieser Klasse werden die Mitglieder mit Google Cloud Platform-Elementen und -Verwaltungen vertraut gemacht. Durch eine Mischung aus Pädagogen, Präsentationen, Vorführungen und praktischen Übungen nehmen Unterstudenten die Google Cloud Platform und die Konsolidierung cloud-basierter Lösungen in Geschäftsmethoden zur Kenntnis.

Publikum

Diese Klasse wird für Planungsentwickler, Frameworks-Betriebsexperten und Entwurfszeichner vorgeschlagen, die Anwendungen bereitstellen und Anwendungssituationen in der Google Cloud Platform implementieren möchten. Diese Klasse eignet sich ebenfalls für Beamte und Führungskräfte, die die Fähigkeit der Google Cloud Platform zur Erfüllung ihrer geschäftlichen Anforderungen bewerten.

Voraussetzungen

Keiner. Natur mit Anwendungsverbesserung, Linux-Working-Frameworks, Frameworks-Operationen und Informationsermittlung / maschinelles Lernen ist nützlich, um die Innovationen zu verstehen.

Ziele

Gegen Ende dieses eintägigen Kurses werden die Mitglieder in der Lage sein:

  • Unterscheiden Sie den Grund und die Schätzung der einzelnen Google Cloud Platform-Elemente und -Verwaltungseinheiten
  • Klären Sie die Unterscheidung zwischen Iaas und PaaS
  • List the techniques for connecting with Google Cloud Platform administrations
  • Portray courses in which clients have utilized Google Cloud Platform to enhance their organizations
  • See how to pick a suitable application deployment environment on Google Cloud Platform: Google App Engine, Google Container Engine, or Google Compute Engine
  • Deploy an application to: Google App Engine, Google Container Engine, and Google Compute Engine
  • Think about the Google Cloud Platform stockpiling alternatives: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore
  • Deploy an application that utilizations Google Cloud Datastore and Google Cloud Storage to store information
  • Stack information into BigQuery and question it
  1. DEVELOPING SOLUTIONS FOR GOOGLE CLOUD PLATFORM (CPD200)

This class acquaints members with Solution Development for Google Cloud Platform. Through a mix of educator drove presentations, exhibits, and hands-on labs, understudies figure out how to create cloud-based applications utilizing Google App Engine, Google Cloud Datastore, and Google Cloud Endpoints.

Publikum

This class is expected for experienced application engineers who need to figure out how to move applications to the cloud or to make local, cloud-based applications for Google Cloud Platform.

Voraussetzungen

Before going to this course, members ought to have:

  • Gone to CP100A – Google Cloud Platform Fundamentals (or proportional experience)
  • Essential capability with charge line instruments and linux working framework situations
  • Encounter creating applications and APIs utilizing a typical programming dialect, for example, Java or Python
  • Earlier arrangements advancement encounter, either on-premises or in an open cloud environment

Ziele

Toward the end of this course, members will have the capacity to:

  • Oversee Google Cloud Source Repositories utilizing the Google Cloud Platform Console
  • Test an App Engine application utilizing the App Engine SDK
  • Get to the App Engine Development Server Console
  • Make an API utilizing Google Cloud Endpoints
  • Test a Cloud Endpoint API utilizing the API Explorer
  • Deploy an application to App Engine utilizing the App Engine SDK
  • Configuration, structure and configure an App Engine application utilizing different administrations
  • Make Client IDs utilizing the Google Cloud Platform Console
  • Secure App Engine administrations and Cloud Endpoints APIs utilizing verification
  • Configure and transfer new forms of App Engine administrations
  • Incorporate Google Cloud Logging into App Engine applications
  • Survey amount utilization in a Google Cloud Platform extend
  • Coordinate diverse sorts of capacity with App Engine applications
  • Make and execute an information display for use with Google Cloud Datastore
  • Execute an assortment of inquiries in Google Cloud Datastore
  • Overhaul the list arrangement in Google Cloud Datastore
  • Execute exchanges utilizing Google Cloud Datastore
  • Audit Google Cloud Trace reports in the Google Cloud Platform Console
  • Coordinate the Memcache API into an App Engine application to expand execution
  • Configure, run and audit the yield of Google Cloud Security Scanner
  • Configure the scaling conduct of individual App Engine Services
  • Make App Engine handlers for Push Task Queues
  • Send email from an App Engine application utilizing the Mail API
  • Plan Tasks in App Engine utilizing the Cron Service
  • Overhaul the setup of the Cron Service
  • Secure Task Push, and Cron Service handlers
  • Send out Google Cloud Platform information from a venture
  • Erase Google Cloud Platform tasks and assets
  1. GOOGLE CONTAINER ENGINE AND KUBERNETES – CP306A

This class acquaints members with Google Container Engine (GKE) and Kubernetes. Through a mix of teacher drove presentations, showings, and hands-on labs, understudies take in the key ideas and practices for deploying and keeping up applications utilizing Google Container Engine.

Publikum

This class is planned for arrangements designers, frameworks operations experts, arrangement modelers, and improvement operations experts who create, move, and deploy compartment construct applications with respect to Google Cloud Platform (GCP).

Voraussetzungen

Before going to this course, members ought to have:

  • Gone to CP100A – Google Cloud Platform Fundamentals (or equal understanding)
  • Essential capability with charge line apparatuses and linux working framework situations
  • Earlier frameworks operations or advancement operations encounter, either on-premises or in an open cloud environment
  • Nature with compartments and holder based advancements, for example, Docker

Ziele

Toward the end of this one-day class, members will have the capacity to:

  • Distinguish the motivation behind and utilize cases for Google Container Engine and Kubernetes
  • Clarify the capacity of the holder group segments: cases, marks, replication controllers, and administrations
  • Distinguish the reason for and utilize cases for Google Container Registry
  • Make a Docker picture and send it to the Google Container Registry
  • Clarify the capacity of the bunch segments: the ace occasion and group hubs
  • Utilize the Cloud Platform Console to make a holder bunch
  • Utilize the Google Cloud SDK summon line devices and the kubectl order line utility to communicate with compartment bunches
  • Characterize a case utilizing a JSON format
  • Deploy the case to a Container Engine bunch
  • Make a Container Engine bunch to have a progressively scaled gathering of Redis occasions
  • Finish an arrangement document which characterizes a replication controller and the case setup that it oversees
  • In the wake of making a replication controller and units, rescale the gathering
  • Deploy a compartment based application utilizing YAML documents that characterize administrations, replication controllers, cases
  • Characterize firewall principles and load balancers to uncover an administration for a compartment based application
  1. GOOGLE CLOUD PLATFORM FOR SYSTEMS OPERATIONS PROFESSIONALS CPO200

This class acquaints members with the usage of use situations and open cloud framework utilizing Google Cloud Platform. Through a mix of educator drove presentations and hands-on labs, understudies figure out how to deploy cloud foundation parts, for example, systems, frameworks, and applications. This course is intended to give members a strong hands-on understanding and is fundamentally lab-centered.

Publikum

This class is planned for Systems Operations experts and Systems Administrators utilizing Google Cloud Platform to make or move application situations and foundation

Voraussetzungen

Before going to this course, members ought to have:

  • Go to CP100A – Google Cloud Platform Fundamentals (or comparable experience)
  • Essential capability with charge line instruments and linux working framework situations
  • Earlier frameworks operations encounter, either on-premises or utilizing an open cloud

Ziele

Toward the end of this four-day course, members will have the capacity to:

  • Comprehend the center occupants to be considered when planning and deploying to a cloud
  • Utilize the Google Developers Console to make and deal with different undertakings
  • Utilize benefit records and authorizations to share see level access between activities
  • Make Google Compute Engine examples
  • Make a non-default system and audit your system arrangement
  • Look at default and non-default systems
  • Make firewall-rules with and without labels
  • Make and utilize a tweaked Compute Engine picture
  • Set approval scopes for a Compute Engine case
  • Hold an outside IP address for an occurrence
  • Preview a Compute Engine example
  • Preview an information circle
  • Make a picture utilizing a boot diligent circle
  • Transfer a picture to Google Container Registry
  • Make a Compute Engine occasion assemble with examples
  • Make a Cloud SQL occasion utilizing the Cloud SDK
  • Deploy and test a web application
  • Include occasion and venture metadata
  • Question occurrence and venture metadata utilizing the Cloud SDK
  • Make an occurrence utilizing a startup script in metadata and Google Cloud Storage
  • Make an occurrence with a shutdown script and introduce the Cloud Logging operator
  • Utilize the API Explorer to inquiry an API ask
  • Run test code that uses the Google API Client Library
  • Test and fabricate a holder that uses the Cloud SQL APIs
  • Make a case format and oversaw occurrence gather
  • Configure an oversaw case bunch for autoscaling
  • Make different autoscaled oversaw case bunches
  • Configure blame tolerant HTTP stack adjusting
  • Test wellbeing checks for use with HTTP stack adjusting
  • Oversee application deployment utilizing Jinja and Python layouts with Google Cloud Deployment Manager
  • Erase Google Cloud Platform activities and assets
  1. GOOGLE CLOUD PLATFORM ARCHITECT FUNDAMENTALS CPA200

Publikum

The target group is individuals will’s identity outlining arrangements utilizing Google Cloud Platform however who don’t have a ton of involvement with planning cloud-based arrangements.

Ziele

Toward the end of this one-day class, members will have the capacity to:

  • Comprehend the center occupants to be considered when outlining and deploying to a cloud
  • Be sufficiently certain to influence what Google Cloud Platform offers without concentrating on undifferentiated hard work
  • See how to begin on Google Cloud Platform
  • Have the capacity to recognize the fitting Google Cloud Platform items to use for prevalent design designs
  1. GOOGLE CLOUD PLATFORM BIG DATA & MACHINE LEARNING FUNDAMENTALS CPB100

Kursbeschreibung

This  class acquaints members with the Big Data and Machine Learning abilities of Google Cloud Platform. It gives a brisk outline of the Google Cloud Platform and a more profound plunge of the information preparing abilities.

Publikum

This class is expected for Data investigators, Data researchers and Business examiners. It is additionally appropriate for IT chiefs assessing Google Cloud Platform for use by information researchers.

This class is for individuals who do the accompanying with enormous information:

  • Separating, Loading, Transforming, cleaning, and approving information for use in examination
  • Outlining pipelines and models for information preparing
  • Making and keeping up machine learning and factual models
  • Questioning datasets, imagining inquiry comes about and making reports

Voraussetzungen

Before going to this course, members ought to have approximately one (1) year of involvement with at least one of the accompanying:

  • A typical question dialect, for example, SQL
  • Separate, change, stack exercises
  • Information displaying
  • Machine learning and additionally insights
  • Programming in Python

Ziele

Gegen Ende dieses eintägigen Kurses werden die Mitglieder in der Lage sein:

  • Distinguish the reason and estimation of the key Big Data and Machine Learning items in the Google Cloud Platform
  • Utilize CloudSQL and Cloud Dataproc to relocate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform
  • Utilize BigQuery and Cloud Datalab to do intuitive information investigation
  • Pick between Cloud SQL, BigTable and Datastore
  • Prepare and utilize a neural system utilizing TensorFlow
  • Pick between various information handling items on the Google Cloud Platform
  1. Google Cloud Platform - Qualifizierter Datenanalytiker (CPE201)

The Google Cloud Platform Qualified Data Analyst exam is planned for Data Analysts and Data Scientists in charge of:

  • Breaking down and imagining enormous information
  • Actualizing cloud-based huge information arrangements
  • Deploying or moving huge information applications to the general population cloud
  • Executing and keeping up expansive scale information stockpiling situations
  • Changing/preparing enormous information
  1. Google Cloud Dataflow-Programmierung und Pub / Sub

This instructor-led class introduces participants to Google Dataflow. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to use Dataflow to extract, transform, and load data from multiple data sources and into Google BigQuery for analysis.

Ziele

  • Incorporate Dataflow into a major information handling system
  • Program bunch and spilling Dataflow pipelines utilizing the SDK
  • Change information with PCollections
  • Execute and screen Dataflow employments
  • Test and troubleshoot Dataflow pipelines

 

  1. GOOGLE BIGQUERY FOR DATA ANALYSTS – CPB200

This course gives hands-on abilities in ingesting, breaking down, changing and picturing information utilizing BigQuery and getting the best execution when utilizing it at scale. This course expands on the wide subjects shrouded in CPB101 by diving further into the decisions and tradeoffs.

Publikum

This class is proposed for information experts and information researchers in charge of: investigating and picturing huge information, actualizing cloud-based huge information arrangements, deploying or moving huge information applications to people in general cloud, executing and keeping up expansive scale information stockpiling situations, and changing/handling huge information.

Voraussetzungen

Before going to this course, members ought to have:

  • Gone to CP100A – Google Cloud Platform Fundamentals OR CPB100 – Google Cloud Platform Big Data and Machine Learning Fundamentals (or proportional experience)
  • Encounter utilizing a SQL-like inquiry dialect to investigate information

Ziele

Toward the end of this course, members will have the capacity to:

  • Comprehend the reason for and utilize cases for Google BigQuery
  • Depict routes in which clients have utilized Google BigQuery to enhance their organizations
  • Comprehend the engineering of BigQuery and how questions are prepared
  • Associate with BigQuery utilizing the web UI and summon line interface
  • Distinguish the reason and structure of BigQuery mappings and information sorts
  • Comprehend the reason for and focal points of BigQuery goals tables and storing
  • Utilize BigQuery occupations
  • Change and load information into BigQuery
  • Trade information from BigQuery
  • Store question brings about a goal table
  • Make a unified inquiry
  • Send out log information to BigQuery and inquiry it
  • Comprehend the BigQuery estimating structure and assess components for controlling question and capacity costs
  • Recognize best practices for improving question execution
  • Investigate normal blunders in BigQuery
  • Utilize different BigQuery capacities
  • Utilize outside apparatuses, for example, spreadsheets to associate with BigQuery
  • Picture BigQuery information
  • Utilize get to controls to limit access to BigQuery information
  • Question Google Analytics Premium information sent out to BigQuery

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