With so many new tech terms floating around these days, it can be hard to keep up with what’s going on in the tech world. With big data and cloud computing becoming so pervasive, it’s more important than ever to stay on the up and up with new terminology. Here’s a breakdown of some of the buzzwords you’re bound to encounter from general to more specific technology needs in data..
SaaS (Software as a Service) is the biggest market in cloud computing and is growing at the fastest rate. This type of service uses the Web to deliver applications, but the apps are managed by a third-party vendor. Then, you access this party’s interface on your own side, but the apps don’t need to be installed and run on individual computers, which is why it’s so convenient and appealing to users. Remember when you actually had to buy shrink wrap software, install it, maintain it, and upgrade it to the new versions? Examples of this are apps from Google, Salesforce and Cisco WebEx.
PaaS (Platform as a Service) is used for apps and other types of development while providing cloud components to software. It’s a service that offers developers different hooks and tools to develop the platform. Microsoft Windows Azure is an example of this type of platform–it gives you tools to develop mobile apps, social apps, websites, games and more. You build them on your own but the APIs hook them into Azure and run them through the platform.
IaaS (Infrastructure as a Service) is a self-service model that allows you to access, monitor and manage remote data center infrastructures. A system like this negates the need to purchase hardware because you can access it all remotely through the cloud. Users have an infrastructure on top of which they can install any required platform. Amazon Web Services and Google Compute Engine are examples.
iPaas (Integration Platform as a Service) is a cloud-based integration solution. It’s a platform for building and deploying integration within the cloud and between the cloud and enterprise. Users can develop integration flows that connect apps that live in the cloud or locally and deploy them without having to install or manage hardware. This is still in its early stages and will likely be built out further.
Data as a Service!
Don’t get overwhelmed yet–we’re not quite done! DaaS (Data as a Service) is a cousin of SaaS because it’s the information that’s delivered on-demand through the software. Data equates to deep insights, and the more we know the better decisions we can make! Between consumer data, operational data, and more- the more we understand how our day-to-day business works, the better prepared we are for future growth and scale!
MDM (Master Data Management) is a method of letting an enterprise link all of its critical data to one master database in order to have a common point of reference. It helps you be more consistent about reporting and regulatory compliance. You decide for yourself what information is considered master data and then use a software to manage it all in one place. Also minimizes future projects, since necessary data is readily available to integrate into future systems.
ESB (Enterprise Service Bus) is a software architecture model that is used to design and implement communication between mutually interacting software apps. All of this occurs in a service-oriented architecture (SOA). It’s helpful to think of an ESB as a mechanism that manages access to apps and services via a single, simple interface for the end users. IBM states that ESB is not a new product per se. Rather, it’s a new way of looking at how to integrate apps and coordinate resources.
EAI (Enterprise Application Integration) refers to the plans, methods and tools that help to modernize and coordinate computer applications. The enterprise can keep using their existing apps and databases and add new apps and technology without disrupting service. It involves coming up with new ways to reuse what you already have and add additional apps and data.
Good Start On Terminology
Anything you think should be included to make a more comprehensive list? Wondering how it applies to your enterprise?