On-demand activities
Find the right on-demand learning activities for you. Labs are short learning activities that teach you a specific lesson by giving you direct, temporary, hands-on access to real cloud resources. Courses are longer activities, consisting of several modules made of videos, documents, hands-on labs and quizzes. Finally, quests are similar, but are usually shorter and contain only labs.
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Lab Featured Getting Started with Redis and RediSearch
In this lab you will use Redis and RediSearch, an add-on module that enables full-text search and secondary indexing in Redis, to install and run a Redis instance, import example hashes, index them with RediSearch, and query them.
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Lab Featured Deploy and Manage Apigee X: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Deploy and Manage Apigee X course. You should be familiar with the content of the labs before attempting this lab.
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Lab Featured Confluent: Clickstream Data Analysis Pipeline Using ksqlDB
This lab will cover how to create a clickstream data analysis pipeline using ksqlDB.
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Lab Featured Optimizing Applications Using Cloud Profiler
In this lab, you will learn how to use the Cloud Operations Tracing and Profiler tools to diagnose and correct application latencies.
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Lab Featured Validate Data in Google Sheets
Ensure that your data is valid and prepared for analysis using Google Sheets features and functions to organize, standardize, and clean data.
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Lab Featured Derive Insights from BigQuery Data: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Derive Insights from BigQuery Data skill badge. You should be familiar with the content of the labs before attempting this lab.
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Lab Featured Dataflow: Qwik Start - Python
In this lab, you set up your Python development environment for Dataflow (using the Apache Beam SDK for Python) and run an example Dataflow pipeline.
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Lab Featured Visualizing Data with Looker Studio
This lab demonstrates how to use Looker Studio to visualize data stored in Google BigQuery.
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Lab Featured APIs Explorer: Compute Engine
Use the APIs Explorer to create a Compute Engine instance, then use Cloud monitoring to monitor the CPU usage.