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In this course, you learn about Cloud Functions, Google's serverless, fully-managed functions as a service (FaaS) product that lets you implement single-purpose function code that reponds to HTTP requests and events from your cloud infrastructure.
This course helps you structure your preparation for the Professional Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
Deploy retail and ecommerce solutions on Google Cloud: host apps on Compute Engine, scale on GKE, query BigQuery data, clean with Dataprep, predict purchases with BigQuery ML.
Build end-to-end forecasting solutions on Google Cloud: time series patterns, BigQuery ML demand models, Vertex AI training, backtesting, pipeline deployment and drift monitoring.
Move from Redshift to BigQuery: provision resources, design and secure datasets with IAM, ingest data, optimize table schemas, and write SQL queries in BigQuery.
Move from Teradata to BigQuery: provision resources, set IAM permissions, ingest data, design and optimize table schemas, and write SQL in BigQuery.
Map Snowflake experience onto BigQuery: provision resources, define and secure datasets with IAM, ingest data, design and optimize schemas, and run SQL queries.
Provision BigQuery resources, ingest data, design and optimize table schemas, control access with Cloud IAM, and write BigQuery SQL, mapping familiar Oracle warehouse concepts across.
Message individuals and groups in Google Chat: set your status, manage conversations, create and join spaces with in-line threading, and add apps to spaces.
This course consists of a series of labs, designed to provide the learner hands-on experience performing a variety of tasks pertaining to setup and maintenance of their Google VPC networks.
Build conversational virtual agents with Dialogflow CX intents, flows, and fulfillments, and translate documents at scale using the Cloud Translation API and Enterprise Translation Hub.
Welcome to Data Governance, where we discuss how to implement data governance on Google Cloud.
Welcome to Cloud Composer, where we discuss how to orchestrate data lake workflows with Cloud Composer.
Welcome to Migrate Workflows, where we discuss how to migrate Spark and Hadoop tasks and workflows to Google Cloud.
Map AWS skills onto Google Cloud: compare storage and database options, then deploy Cloud SQL instances and build Google Kubernetes Engine clusters and deployments hands-on.
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