Tech terminology Flashcards
What is server-less computing
Server-less computing is a cloud computing execution model in which the cloud provider dynamically manages the allocation of machine resources. Pricing is based on the actual amount of resources consumed by an application, rather than on pre-purchased units of capacity
Server-less computing still requires servers, hence it’s a misnomer
The name “server-less computing” is used because the server management and capacity planning decisions are completely hidden from the developer or operator.
What is converged infrastructure
Is an approach to data center management that packages compute, networking, servers, storage and virtualization tools on a prequalified turnkey appliance.
Converged infrastructure versus traditional Datacenter
Traditional data center - Traditional data center design requires that application servers, backup appliances, hypervisors, network cards and file storage systems be individually configured and linked together. Typically, each component is managed separately by a dedicated IT team. This arrangement serves organizations that have petabytes of data across thousands of applications, but management challenges can arise when trying to rationalize the costs or undertake a refresh cycle.
CI - By contrast, converged infrastructure vendors offer branded and supported products in which all the components – servers, software, storage and switches – reside natively on a qualified hardware appliance. Owing to its smaller physical footprint in the data center, converged infrastructure helps to reduce the costs associated with cabling, cooling and power.
What is Hadoop
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What are containers and what purpose to they serve?
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What is polybase?
It is a technology that permits database users and admins to query data across SQL and NoSQL databases. It returns results in a unified way
What is Microsoft Datalake?
Microsoft Azure Data Lake is a highly scalable public cloud service that allows developers, scientists, business professionals and other Microsoft customers to gain insight from large, complex data sets. As with most data lake offerings, the service is composed of two parts: data storage and data analytics.
Discuss edge computing and the evolution that is happening
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