1 Flashcards
What is “application migration”?
The process of moving applications from one computing environment to another, often as part of a cloud adoption strategy.
What is “application modernization”?
Updating legacy applications, processes, and data management with cloud computing technologies.
Modernization can help organizations improve IT performance, enhance customer and employee experiences, and accelerate time to market for new offerings and updates.
What is “artificial intelligence (AI)”?
The capability of a computer system to imitate human intelligence. Using math and logic, the computer system simulates the reasoning that humans use to learn from new information and make decisions.
What is “artificial intelligence (AI) vs. machine learning (ML)”?
“Intelligent” computers use AI to process information like humans do and complete tasks on their own. Machine learning—which is an application of AI—uses algorithms to enable computer systems to learn without human instruction and develop their own intelligence.
What is “big data analytics”?
Consists of the tools, systems, and applications that companies use to gather, process, and gain insights from vast, high-velocity datasets.
These complex datasets originate from various sources, including the internet, emails, social media, and smart devices.
What are “business analytics tools”?
Tools that extract data from business systems and integrate it into a repository, such as a data warehouse, where it can be analyzed.
Analytics tools range from spreadsheets with statistical functions to sophisticated data mining and predictive modeling tools.
What are “business intelligence (BI) tools”?
Tools that process large amounts of unstructured data in books, journals, documents, health records, images, files, email, video, and so forth, to help you discover meaningful trends and identify new business opportunities.
What is “caching”?
The process of storing important data in temporary memory more quickly and efficiently than conventionally stored data.
Caching helps to optimize database costs, improve throughput, reduce latency, and boost app performance.
What is a “cloud”?
A metaphor for a global computing network of remote servers that run applications, store data, and deliver content and services.
The cloud enables data to be accessed online from internet-enabled devices, rather than solely from local computers.
What is “cloud bursting”?
A configuration between a private cloud and a public cloud to manage demand for cloud resources. If 100 percent of the resource capacity in a private cloud is used, overflow traffic is directed to the public cloud using cloud bursting.
What is “cloud computing”?
A delivery model for computing resources in which various servers, applications, data, and other resources are integrated and provided as a service over the internet.
Resources are often virtualized, and users typically only pay for the services they use.
What are “cloud computing types”?
The three most popular ones are:
+ (SaaS) for web-based applications
+ (PaaS) to give developers the tools to build and host web applications.
+ (IaaS) for internet-based access to storage and computing, and platform as a service
What is “cloud migration”?
The process of moving some or all of a company’s resources to one or multiple locations in the cloud. Although cloud migration often entails moving resources from on-premises locations to a cloud provider’s servers, it can also entail moving resources between clouds.
What are “cloud migration benefits”?
The benefits of cloud migration include optimized IT costs, greater flexibility and scalability, enhanced security and compliance, improved business continuity, and simplified resource management and monitoring.
What is a “cloud service provider”?
A company that provides a cloud-based platform, infrastructure, application, or storage service, usually for a fee.
What are “computer grids”?
Groups of networked computers that act together to perform large tasks, such as analyzing huge sets of data and weather modeling.
Cloud computing lets you use vast computer grids for specific time periods and purposes, paying only for your usage, and saving the time and expense of purchasing and deploying the necessary resources yourself.
What is “computer vision”?
A form of AI that emulates the way that humans see, understand, and recognize images.
Computer vision uses algorithms and automation to enable computers to identify and interpret the people and objects that appear in images and videos.
What is a “container”?
A unit of software that groups an application’s code with the configuration files, libraries, and dependencies it needs to run. Containers allow IT teams to deploy applications across different environments with minimal adjustments.
What is “data governance”?
Data governance refers to the unique processes, policies, and standards that an organization uses to help keep its data secure, private, and accurate.
Organizations that rely on data for business growth need a strategy to manage that data effectively and efficiently.
What is “data integration”?
The process of combining and consolidating data from several different sources into a single system with a unified view.
What is a “data lake”?
A type of data repository that captures both relational and non-relational data from a variety of sources.
Unlike a data warehouse, which can only store structured data, a data lake can store semi-structured and unstructured data in addition to structured data.
What is “data migration”?
Transferring data from one storage location, like an on-premises server, to a different location, like the server of a cloud provider.
Data migration encompasses selecting, preparing, extracting, and transferring data from one computer storage system to another.
What are “data science scientists”?
Scientists who use technology, mathematical, business, and communication expertise to extract valuable information from large datasets. Data scientists use big data to uncover patterns, make predictions, and create strategies in a wide variety of fields.
What is a “data warehouse”?
A central storage location for structured and semi-structured data used for reporting and analysis.
Information can be sent to a data warehouse from a variety of sources, including point-of-sale systems, applications, and relational databases.