Temukan pelatihan Google Cloud sesuai keinginan Anda.
Dengan lebih dari 980 aktivitas pembelajaran yang dapat dipilih, Google Cloud telah merancang katalog yang komprehensif dengan mempertimbangkan kebutuhan Anda. Katalog ini terdiri dari berbagai format aktivitas yang dapat Anda pilih. Anda dapat memilih dari lab individual berdurasi singkat atau kursus multi-modul yang terdiri dari video, dokumen, lab, dan kuis. Lab kami memberi Anda kredensial sementara ke resource cloud nyata agar Anda dapat mempelajari Google Cloud secara langsung di platform aslinya. Dapatkan badge untuk aktivitas yang berhasil Anda selesaikan, serta tentukan target, lacak progres, dan ukur keberhasilan Anda di Google Cloud.
316 hasil
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Lab Unggulan Getting Started with BigQuery GIS for Data Analysts
BigQuery GIS allows you to easily analyze and visualize geospatial data in BigQuery.
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Lab Unggulan BigQuery Soccer Data Ingestion
Get started with sports data science by importing soccer data on matches, teams, players, and match events into BigQuery tables.
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Lab Unggulan Data Publishing on BigQuery for Data Sharing Partners
In this lab you will learn how to share datasets and publish datasets with BigQuery.
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Lab Unggulan Analyze BigQuery data in Connected Sheets: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Analyze BigQuery data in Connected Sheets quest. You should be familiar with the content of labs before attempting this lab.
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Lab Unggulan Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion
In this lab you’ll be working with Wrangler directives which are used by the Wrangler plugin, the “Swiss Army Knife” of plugins in the Data Fusion platform, so that your transformations are encapsulated in one place and we can group transformation tasks into manageable blocks.
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Lab Unggulan BigQuery Soccer Data Analysis
Learn the fundamentals of writing and executing queries to query soccer data stored in BigQuery tables.
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Lab Unggulan Big Data Analysis to a Slide Presentation
This lab leverages two Google developer platforms: G Suite and Google Cloud Platform (GCP). It uses GCP's BigQuery API, Sheets, and Slides to collect, analyze and present data.
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Lab Unggulan Exploring Dataset Metadata Between Projects with Data Catalog
In this lab, you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.
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Kursus Unggulan Modernizing Data Lakes and Data Warehouses with Google Cloud
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a success…
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Lab Unggulan Filtering and Sorting Data in Looker
In this lab, you will learn how to filter and sort data, and create looks with Looker.