- Cloud Digital Leader
- A foundational Google Cloud certification validating the ability to explain how Google Cloud products and services can be used to achieve organizational goals, aimed at both technical and non-technical professionals.
- Digital Transformation
- The strategic adoption of cloud and digital technologies to change how a business operates, competes, and delivers value to customers.
- BigQuery
- Google Cloud's serverless, petabyte-scale enterprise data warehouse for running fast SQL analytics and built-in machine learning over large datasets.
- Data Lake
- A centralized storage repository that holds raw structured, semi-structured, and unstructured data at scale until it is needed for analysis.
- Data Warehouse
- A system designed to store and analyze structured, processed data, typically used to support business intelligence and reporting.
- ETL / ELT
- Data integration patterns for moving data into a system: ETL transforms data before loading it, while ELT loads raw data first and transforms it inside the destination system.
- Vertex AI
- Google Cloud's unified platform for building, training, and deploying both custom and generative machine learning models at scale.
- Generative AI
- AI systems that create new content—text, images, audio, or code—by learning patterns from large training datasets.
- Large Language Model (LLM)
- A generative AI model trained on vast text corpora to understand and produce human-like language for tasks such as summarization and conversation.
- Machine Learning (ML)
- A subset of artificial intelligence where systems learn patterns from data to make predictions or decisions instead of following explicitly programmed rules.
- IaaS (Infrastructure as a Service)
- A cloud service model providing virtualized compute, storage, and networking resources while the customer manages the OS and above; Compute Engine is an example.
- PaaS (Platform as a Service)
- A cloud service model that provides a managed platform for developing and deploying applications without managing the underlying infrastructure; App Engine is an example.
- SaaS (Software as a Service)
- A cloud service model delivering fully managed, ready-to-use applications over the internet, such as Google Workspace.
- Compute Engine
- Google Cloud's IaaS offering for creating and running configurable virtual machines.
- Cloud Run
- A fully managed serverless compute platform for running stateless containers that scale automatically with demand, including to zero.
- Serverless Computing
- A cloud model in which the provider automatically manages infrastructure and scaling, allowing developers to focus purely on application code.
- Application Modernization
- The process of updating legacy applications—via rehosting, replatforming, or refactoring—to take better advantage of cloud-native capabilities.
- Shared Responsibility Model
- A security framework defining the division of security duties between the cloud provider and the customer, which varies depending on the service model in use.
- Identity and Access Management (IAM)
- Google Cloud's system for defining and enforcing who can access which resources and what actions they are permitted to perform.
- Virtual Private Cloud (VPC)
- A private, isolated virtual network within Google Cloud used to organize and secure cloud resources.
- Site Reliability Engineering (SRE)
- An engineering discipline that applies software engineering principles to operations, emphasizing automation, reliability metrics, and error budgets.
- Service Level Agreement (SLA)
- A formal, often contractual, commitment made to customers regarding a service's expected performance or availability.
- Service Level Objective (SLO)
- An internal target level of reliability or performance that a team aims to meet for a service.