Rejoindre Se connecter

Apply your skills in Google Cloud console

Tolu Adedire

Date d'abonnement : 2024

Ligue d'Or

11505 points
Build a Data Warehouse with BigQuery Earned nov. 7, 2024 EST
Streaming Analytics into BigQuery Earned nov. 6, 2024 EST
Derive Insights from BigQuery Data Earned nov. 6, 2024 EST
Build Data Lakes and Data Warehouses on Google Cloud Earned sept. 13, 2024 EDT
Prepare Data for ML APIs on Google Cloud Earned sept. 13, 2024 EDT
Engineer Data for Predictive Modeling with BigQuery ML Earned sept. 6, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure Earned jan. 25, 2024 EST

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.

En savoir plus

Earn a skill badge by completing the Streaming Analytics into BigQuery skill badge course, where you use Pub/Sub, Dataflow and BigQuery together to stream data for analytics.

En savoir plus

Complete the introductory Derive Insights from BigQuery Data skill badge course to demonstrate skills in the following: Write SQL queries.Query public tables.Load sample data into BigQuery.Troubleshoot common syntax errors with the query validator in BigQuery.Create reports in Looker Studio by connecting to BigQuery data.

En savoir plus

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.

En savoir plus

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.

En savoir plus

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.

En savoir plus

Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.

En savoir plus