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Showing 20 results for “Google Cloud”. More results are available below.
GCP-ACE · Cloud operations
Reliable cloud operations start with a known intended configuration and evidence about the running workload. Compare actual health, capacity and configuration against that baseline. Automate…
GCP-ACE · Google Cloud infrastructure
Google Cloud resources are organized through projects and higher-level organization structures. The hierarchy helps establish ownership, billing and inherited policy, but effective permissio…
GCP-ACE · Identity and access
Authentication establishes who or what is requesting access. Authorization decides which actions that identity may perform on a resource. A successful sign-in therefore does not imply permis…
GCP-ADP · Analytical reasoning
Analysis translates data into an answer to a specific question. Define the population, time period and metric before computing results. A rate depends on its denominator, and a change in who…
GCP-ADP · Data quality
A value can have the right data type and still be wrong for the business. Data quality checks should cover required values, uniqueness, valid ranges and relationships, along with freshness a…
GCP-ADP · Google Cloud data pipelines
…ple A team needs a managed analytical SQL warehouse on Google Cloud. Which service fits? BigQuery BigQuery is designed for managed analytical querying rather than network protection or addre…
GCP-AWA · Cloud governance and cost
Cloud governance connects resource decisions to business ownership, access rules and spending controls. Consistent tags and accounts help identify who should respond to a cost increase or un…
GCP-AWA · Identity and access
Authentication establishes who or what is requesting access. Authorization decides which actions that identity may perform on a resource. A successful sign-in therefore does not imply permis…
GCP-AWA · Access governance
Access has a lifecycle: grant it for a justified need, review it when responsibilities change, and remove it when the need ends. Old group memberships and privileged accounts can outlive the…
GCP-CDL · Digital transformation with Google Cloud
…ated over years, sized for peak demand and often idle. Cloud turns that into operational expenditure: you pay monthly for what you actually use, scale up for a launch and back down afterward…
GCP-CDL · Digital transformation with Google Cloud
…e as a Service delivers a finished application such as Google Workspace; you manage only your data and users. Responsibility for security shifts toward the provider as you move up the stack.…
GCP-CDL · Digital transformation with Google Cloud
Hybrid cloud connects an organisation's own data centre with a public cloud so workloads and data can move between them. Multi-cloud uses two or more public providers, often to avoid lock-in…
GCP-CDL · Digital transformation with Google Cloud
…he right country. Low latency comes from proximity and Google's private fibre backbone, which carries traffic between regions without touching the public internet.
GCP-CDL · Exploring data transformation with Google Cloud
…structured, Firestore or Bigtable for semi-structured, Cloud Storage for unstructured. A question describing social posts, call recordings or scanned documents is pointing at unstructured da…
GCP-CDL · Exploring data transformation with Google Cloud
BigQuery is Google Cloud's enterprise data warehouse. It is fully serverless, so there are no clusters to size, and it separates storage from compute, charging for bytes stored and bytes sca…
GCP-CDL · Exploring data transformation with Google Cloud
Cloud SQL is managed MySQL, PostgreSQL or SQL Server for conventional relational apps within a region. Cloud Spanner is a relational database that scales horizontally across regions with str…
GCP-CDL · Exploring data transformation with Google Cloud
Cloud Storage holds objects in buckets with four classes. Standard is for frequently accessed data with no retrieval fee. Nearline suits data touched about once a month, Coldline about once …
GCP-CDL · Exploring data transformation with Google Cloud
… have Spark or Hadoop jobs and want a managed cluster. Cloud Composer, based on Apache Airflow, orchestrates workflows across these services on a schedule. When a stem mentions millions of e…
GCP-CDL · Innovating with Google Cloud artificial intelligence
…cally from foundation models trained on huge datasets. Google's offerings map to this: pre-trained APIs for common tasks, Vertex AI for building and deploying custom models, and Gemini model…
GCP-CDL · Innovating with Google Cloud artificial intelligence
…or specialised behaviour. Vertex AI provides access to Google models such as Gemini and to partner and open models through Model Garden. The business benefit is speed: a marketing team can g…
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