Software Languages and the Programming Language "R"

Software Languages and the Programming Language “R”

As anyone working in the field knows, business intelligence services is an evolving landscape. New technologies, combined with a rapidly expanding marketplace, are disrupting legacy solutions and established platforms.

Despite such growth, however, there have been a few constants, such as the R programming language. As other technologies gain popularity or fade away, R has steadily grown into a standard for data exploration. This will only continue with the latest wave of medium and small business BI adoption.

R’s longevity stems from its perks, many of which come from its history.

R was created to take advantage of superior parallel processing abilities in newer systems. Before this, SAS was the default data language. SAS was created before parallel processing was commonplace, however, so even though it now supports it, the functionality isn’t ingrained in the language. Because of this, SAS analysis functions fail to take full advantage of parallel processing power in the way that R does.

Pleasing Graphics

R Big Data

One of the most immediate benefits of R’s parallel processing functionality is the ability to create aesthetically pleasing graphics. With only a small amount of extra code and preparation, R allows you to create navigable graphics from data analysis results. The graphics are presentable enough to export and use in a report, or to quickly gain new insight into a data set.

Along with such tangible benefits, R is also receiving some much-deserved recognition. Companies that previously fought against the language, such as IBM and SAS, have since acknowledged the value of R and started implementing support for it in their software.

If such news comes as a surprise and you’re now considering the implications of R usage among major BI vendors, it should be noted that this doesn’t undermine the efforts of companies such as Revolution Analytics. Rather, such adoption should bolster providers of standardized R packages and modules in what is otherwise an unstructured open source environment.

That said, R adoption can lead to some issues. There’s a steep learning curve with R, which means retraining a SAS expert could be difficult. Companies looking to take advantage of the new R integration from IBM, SAS, or Revolution Analytics’ toolset might instead look for applicants already familiar with the language.

Fortunately, there are plenty of statisticians trained in R use, and they come in the form of recent graduates. Being open source, R is ideal for educational use in colleges and scientific research. Many undergraduates and post-graduates leave college with sufficient R experience to join your company and begin BI work. This is made even more convenient by the fact that many R capabilities are open source (aka free) and thus can be downloaded and installed in a day.

With adoption of R by a wider audience (including 6 of the largest enterprise software vendors), it’s time for companies to look harder at what the language can do for them and their own evolving business intelligence efforts.

By Keith Cawley

Mobile Apps Business

It May Not Be Sexy, But Strict Compliance Delivers The Freedom To Innovate

Compliance and Business Innovation When the U.S. based non-profit organization RHD | Resources for Human Development decided to move its operations into the cloud, one of its top priorities was compliance. As a company that ...
Jen Klostermann

FinTech and Blockchain vs Traditional Banking

FinTech and Blockchain Growth "The Rise of FinTech - New York’s Opportunity for Tech Leadership", a report by Accenture and the Partnership Fund for New York City, reveals that global investment in FinTech endeavors has ...
Mark Casey Apcela

Why CloudHubs are an Important Ingredient to Optimizing Performance of Cloud-based Applications

CloudHubs - Optimizing Application Performance It may seem hard to believe, but even in this day and age, there are still some enterprises that are cloud-averse. For whatever reason, they are hesitant to have their ...
Eddie Segal

Kubernetes on AWS: Tips for Cloud-Native Development

Kubernetes AWS Tips Kubernetes is a container orchestration and management tool that automates container deployment. Kubernetes is mainly used in the cloud. A recent survey by CNCF showed that 83% of organizations deploy Kubernetes on ...
Isc2

Episode 2: Coronavirus Phishing Emails and Work-from-Home Meetings

Coronavirus Phishing Emails What to watch out for as scammers exploit pandemic panic, and tips on how to attend meetings while working from home. Working from home this week? There are a few challenges and ...
Signal Messenger: How to Successfully Resist Wiretapping Attempts

Signal Messenger: How to Successfully Resist Wiretapping Attempts

Successfully Resist Wiretapping Attempts Against the backdrop of events in the US, the popularity of the Signal secure messenger has grown sharply - from 6,000 to 26,000 downloads per day. This software uses strong cryptography ...