Rejoindre Se connecter

Erica Petersson

Date d'abonnement : 2020

Ligue de bronze

2400 points
Build a Data Warehouse with BigQuery Earned juil. 6, 2022 EDT
Build Data Lakes and Data Warehouses on Google Cloud Earned jan. 4, 2021 EST
[DEPRECATED] Google Cloud Big Data and Machine Learning Fundamentals Earned sept. 4, 2020 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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While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.

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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

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