On-Demand-Aktivitäten
Hier finden Sie die für Sie richtigen On-Demand-Lernaktivitäten. Labs sind kurze Lernaktivitäten, in denen Ihnen über einen direkten, temporären, praxisorientierten Zugriff auf echte Cloud-Ressourcen spezifische Inhalte vermittelt werden. Kurse sind längere Aktivitäten, die aus mehreren Modulen mit Videos, Dokumenten, praxisorientierten Labs und Quizaufgaben bestehen. Aufgabenreihen sind ähnlich, aber in der Regel kürzer und enthalten nur Labs.
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Lab Tipp Uptraining with Document AI Workbench
In this lab, you will will create an Invoice Parser processor, configure the processor for uptraining, label example documents, and uptrain the processor.
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Lab Tipp Manage a partitioned table in BigQuery
Manage a partitioned table and use filters to reduce data examined in BigQuery
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Lab Tipp Configure Device Settings for Users on ChromeOS
In this lab, you'll configure device settings for Users on ChromeOS.
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Lab Tipp Online Data Migration to Cloud Spanner using Striim
In this lab you will learn how to migrate a Cloud SQL for MySQL database to Cloud Spanner using Google Cloud's data migration partner, Striim.
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Lab Tipp Build and Configure an Integration using Application Integration
Learn the core concepts, functionalities, and best practices of Application Integration
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Lab Tipp Building Batch Pipelines in Cloud Data Fusion
This lab will teach you how to use the Pipeline Studio in Cloud Data Fusion to build an ETL pipeline. Pipeline Studio exposes the building blocks and built-in plugins for you to build your batch pipeline, one node at a time. You will also use the Wrangler plugin to build and apply transformations to your data that…
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Lab Tipp Set up a SIEM forwarder for Windows on Docker
In this lab, you configure a SIEM forwarder on a Windows VM using a standard Docker image. You use labels to add searchable metadata to the logs to optimize analytical capabilities.
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Lab Tipp Machine Learning with Spark on Google Cloud Dataproc
In this lab you will learn how to implement logistic regression using a machine learning library for Apache Spark running on a Google Cloud Dataproc cluster to develop a model for data from a multivariable dataset