Create ML Models with BigQuery ML
Earned déc. 29, 2024 EST
Perform Predictive Data Analysis in BigQuery
Earned déc. 25, 2024 EST
Build a Data Warehouse with BigQuery
Earned déc. 12, 2024 EST
Create and Manage Bigtable Instances
Earned déc. 2, 2024 EST
Create and Manage Cloud Spanner Instances
Earned nov. 5, 2024 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned avr. 8, 2024 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned avr. 3, 2024 EDT
Natural Language Processing on Google Cloud
Earned mars 30, 2024 EDT
Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.
En savoir plus
Complete the intermediate Perform Predictive Data Analysis in BigQuery skill badge course to demonstrate skills in the following: creating datasets in BigQuery by importing CSV and JSON files; harnessing the power of BigQuery with sophisticated SQL analytical concepts, including using BigQuery ML to train an expected goals model on soccer event data and evaluate the impressiveness of World Cup goals.
En savoir plus
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
Complete the introductory Create and Manage Bigtable Instances skill badge to demonstrate skills in the following: creating instances, designing schemas, querying data, and performing administrative tasks in Bigtable including monitoring performance and configuring node autoscaling and replication.
En savoir plus
Complete the introductory Create and Manage Cloud Spanner Instances skill badge to demonstrate skills in the following: creating and interacting with Cloud Spanner instances and databases; loading Cloud Spanner databases using various techniques; backing up Cloud Spanner databases; defining schemas and understanding query plans; and deploying a Modern Web App connected to a Cloud Spanner instance.
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 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
This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
Create ML Models with BigQuery ML
Earned déc. 29, 2024 EST
Perform Predictive Data Analysis in BigQuery
Earned déc. 25, 2024 EST
Build a Data Warehouse with BigQuery
Earned déc. 12, 2024 EST
Create and Manage Bigtable Instances
Earned déc. 2, 2024 EST
Create and Manage Cloud Spanner Instances
Earned nov. 5, 2024 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned avr. 8, 2024 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned avr. 3, 2024 EDT
Natural Language Processing on Google Cloud
Earned mars 30, 2024 EDT