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Mettez en pratique vos compétences dans la console Google Cloud

Hyun Chan Jang

Date d'abonnement : 2023

Ligue de bronze

2600 points
Build a Data Warehouse with BigQuery Earned mars 28, 2023 EDT
DEPRECATED Language, Speech, Text, & Translation with Google Cloud APIs Earned mars 26, 2023 EDT
Automate Data Capture at Scale with Document AI Earned mars 21, 2023 EDT
DEPRECATED BigQuery Basics for Data Analysts Earned mars 16, 2023 EDT

Complete the intermediate Build a Data Warehouse with BigQuery skill badge course to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery.

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In this quest you will use a collection of Google APIs that are all related to language, and speech. You will use the Speech-to-Text API to transcribe an audio file into a text file, the Cloud Translation API to translate from one language to another, the Cloud Translation API to detect what language is being used and translate to a different language, the Natural Language API to classify text and analyze sentiment, and create synthetic speech.

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Earn the introductory skill badge by completing the Automate Data Capture at Scale with Document AI course. In this course, you learn how to extract, process, and capture data using Document AI.

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Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.

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