Building Resilient Streaming Analytics Systems on Google Cloud
Earned Jul 6, 2022 EDT
Build a Data Warehouse with BigQuery
Earned Jun 20, 2022 EDT
Monitor and Log with Google Cloud Observability
Earned Jun 14, 2022 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned Jun 13, 2022 EDT
Use Machine Learning APIs on Google Cloud
Earned May 24, 2022 EDT
Scientific Data Processing
Earned May 18, 2022 EDT
[DEPRECATED] Building Advanced Codeless Pipelines on Cloud Data Fusion
Earned Apr 30, 2022 EDT
Data Science on Google Cloud
Earned Apr 25, 2022 EDT
Prepare Data for ML APIs on Google Cloud
Earned Apr 25, 2022 EDT
Derive Insights from BigQuery Data
Earned Apr 21, 2022 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned Apr 19, 2022 EDT
Create ML Models with BigQuery ML
Earned Apr 17, 2022 EDT
Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using QwikLabs.
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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 Monitor and Log with Google Cloud Observability skill badge to demonstrate skills in the following: monitoring virtual machines in Compute Engine, utilizing Cloud Monitoring for multi-project oversight, extending monitoring and logging capabilities to Cloud Functions, creating and sending custom application metrics, and configuring Cloud Monitoring alerts based on custom metrics. 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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Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.
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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.
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Big data, machine learning, and scientific data? It sounds like the perfect match. In this advanced-level quest, you will get hands-on practice with GCP services like Big Query, Dataproc, and Tensorflow by applying them to use cases that employ real-life, scientific data sets. By getting experience with tasks like earthquake data analysis and satellite image aggregation, Scientific Data Processing will expand your skill set in big data and machine learning so you can start tackling your own problems across a spectrum of scientific disciplines.
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This advanced-level Quest builds on its predecessor Quest, and offers hands-on practice on the more advanced data integration features available in Cloud Data Fusion, while sharing best practices to build more robust, reusable, dynamic pipelines. Learners get to try out the data lineage feature as well to derive interesting insights into their data’s history.
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This is the first of two Quests of hands-on labs is derived from the exercises from the book Data Science on Google Cloud Platform, 2nd Edition by Valliappa Lakshmanan, published by O'Reilly Media, Inc. In this first Quest, covering up through chapter 8, you are given the opportunity to practice all aspects of ingestion, preparation, processing, querying, exploring and visualizing data sets using Google Cloud tools and services.
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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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Complete the introductory Derive Insights from BigQuery Data skill badge 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, and create reports in Looker Studio by connecting to BigQuery data. 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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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 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.
Building Resilient Streaming Analytics Systems on Google Cloud
Earned Jul 6, 2022 EDT
Build a Data Warehouse with BigQuery
Earned Jun 20, 2022 EDT
Monitor and Log with Google Cloud Observability
Earned Jun 14, 2022 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned Jun 13, 2022 EDT
Use Machine Learning APIs on Google Cloud
Earned May 24, 2022 EDT
Scientific Data Processing
Earned May 18, 2022 EDT
[DEPRECATED] Building Advanced Codeless Pipelines on Cloud Data Fusion
Earned Apr 30, 2022 EDT
Data Science on Google Cloud
Earned Apr 25, 2022 EDT
Prepare Data for ML APIs on Google Cloud
Earned Apr 25, 2022 EDT
Derive Insights from BigQuery Data
Earned Apr 21, 2022 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned Apr 19, 2022 EDT
Create ML Models with BigQuery ML
Earned Apr 17, 2022 EDT