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Victor Wasmer Gimeno

Member since 2024

Diamond League

13860 points
Engineer Data for Predictive Modeling with BigQuery ML Earned Jan 8, 2025 EST
Build a Data Warehouse with BigQuery Earned Jan 8, 2025 EST
Prepare Data for ML APIs on Google Cloud 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

Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; and building machine learning models using BigQuery ML. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge course, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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Complete the intermediate Build a Data Warehouse with BigQuery skill badge 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. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge course, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Dataproc, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

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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.

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