完成 在 Google Cloud 為機器學習 API 準備資料 技能徽章入門課程，即可證明您具備下列技能： 使用 Dataprep by Trifacta 清理資料、在 Dataflow 執行資料管道、在 Dataproc 建立叢集和執行 Apache Spark 工作，以及呼叫機器學習 API，包含 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。 「技能徽章」是 Google Cloud 核發的獨家數位徽章，用於肯定您在 Google Cloud 產品與服務方面的精通程度， 代表您已通過測驗，能在互動式實作環境中應用相關知識。完成本技能徽章課程及結業評量挑戰研究室， 即可取得技能徽章並與他人分享。
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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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This course explores the Geographic Information Systems (GIS), GIS Visualization, and machine learning enhancements to BigQuery.
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This course explores how to implement a streaming analytics solution using Dataflow and BigQuery.
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This course explores how to leverage Looker to create data experiences and gain insights with modern business intelligence (BI) and reporting.
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This course explores how to implement a streaming analytics solution using Pub/Sub.
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This course continues to explore the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Dataflow.
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This course continues to explore the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Cloud Data Fusion.
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This course explores the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Dataproc.
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This course identifies best practices for migrating data warehouses to BigQuery and the key skills required to perform successful migration.
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Welcome to Optimize in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on optimization.
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Welcome to Design in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on schema design.
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This course discusses the key elements of Google's Data Warehouse solution portfolio and strategy.
使用 BigQuery ML 為預測模型進行資料工程
Earned Jan 8, 2025 EST
透過 BigQuery 建構資料倉儲
Earned Jan 8, 2025 EST
在 Google Cloud 為機器學習 API 準備資料
Earned Jan 7, 2025 EST
DEPRECATED BigQuery Basics for Data Analysts
Earned May 23, 2024 EDT
Data Warehousing for Partners: BigQuery Extended Capabilities
Earned Mar 19, 2024 EDT
Data Warehousing for Partners: Streaming Analytics
Earned Mar 17, 2024 EDT
Data Warehousing for Partners: Analyze Data with Looker
Earned Mar 17, 2024 EDT
Data Warehousing for Partners: Stream Data with Pub/Sub
Earned Mar 17, 2024 EDT
Data Warehousing for Partners: Process Data with Dataflow
Earned Mar 16, 2024 EDT
Data Warehousing for Partners: Cloud Data Fusion Pipelines
Earned Mar 11, 2024 EDT
Data Warehousing for Partners: Process Data with Dataproc
Earned Mar 11, 2024 EDT
Data Warehousing for Partners: Migrate Data to BigQuery
Earned Mar 5, 2024 EST
Data Warehousing for Partners: Optimize in BigQuery
Earned Jan 31, 2024 EST
Data Warehousing for Partners: Design in BigQuery
Earned Jan 30, 2024 EST
Data Warehousing for Partners: Enable Google Cloud Customers
Earned Jan 15, 2024 EST