Breaking Down The Big Data – Top Job Skills

Big Data – Top Job Skills

For those in the tech arena – and let’s face it, we’re all in the tech arena somehow – a few abilities are topping all of the must-have skills lists. Inc. points to the growth of Big Data, Cloud Computing, and Data Virtualization as three of the six major trends we should all be keeping up with, supported by countless other industry analysts. Data and Cloud technologies have effectively transformed both our personal and business landscapes, so skilling up in these areas is a necessity.

Cloud Computing: What You Need to Know

This year, the Cloud will become the “new normal”, reports TechRadar. Dramatically cutting cost by digitizing information-intensive processes, it’s been predicted that the end of 2015 will see a world of hybrid deployments. By utilizing the flexibility of the Cloud, organizations are improving everything from collaboration to data security.

Following are a few of the top skills needed to adequately exploit the Cloud.

  • The Technical Stuff: A good knowledge of Internet capabilities is a must have, and skills in Java and .NET framework are invaluable, as well as an understanding of virtualization. open source tools and languages are also beneficial.
  • Basic Business: Ensuring efficient use of Cloud Computing requires business-savvy leaders who recognize the need (or lack thereof) for cloud deployment; the Cloud is vital, but it’s not going to build a return on your investment without good business management.
  • Project Management: Are there any fields that don’t benefit from great project management? IT certainly does and always has. Marshaling resources, both human and technical; establishing goals and timelines; achieving milestones on schedule; and delivering value. Cloud Computing offers and encourages the use of an extreme range of new tools and directions, but without effective project management, this wild ride could end up costing far more than a basic On-Premises system.
  • Data Analysis & Integration: Considered more valuable in today’s economy than oil, Big Data is only as beneficial as its practical extraction and application. Meshing cloud-based systems and data with on-premises warehouses and systems ensures effective analytical environments.

Big Data: In-Demand Skills

Big Data: In-Demand Skills

Partly thanks to the rise of the Internet of Things, Big Data is ever-expanding, as are its uses and power. With volumes increasing exponentially, knowing how to collect and analyze data keeps you in touch with customer needs as well as critical business processes. Although Big Data is a broad area, a few programming languages stand out as prerequisites:

  • R:  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. It’s estimated that more than 2 million people use R.
  • Julia: Is a high-level dynamic programming language designed to address the requirements of high-performance numerical and scientific computing while also being effective for general-purpose programming.
  • Java: The general-purpose programming language designed with as few implementation dependencies as possible. Many companies have been adding this tool to their platforms, including IBM to its cloud, Bluemix.
  • Hadoop: Covering numerous enterprises and tools such as Spark and Map Reduce, Hadoop is an extremely broad area that offers Big Data computing at scale with demand growing even faster than Java.
  • Python: An interpreted, object-oriented programming language with dynamic semantics, Python is attractive for its rapid application development and as a scripting language to connect existing components.

Though a little daunting at first glance, all of these skills are at your fingertips. A little online exploration offers a satisfying foundation, and the numerous free courses existing provide all of the in-depth education you might want or need.

By Jennifer Klostermann

Ajay

Explainable Intelligence Part 2 – Illusion of the Free Will

Illusion of the Free Will Explainable Artificial Intelligence (XAI) is getting a lot of attention these days, and like most people, you're drawn to it because the very nature of neural networks - opacity induces the ...
Chandani Patel Volansys

Pillars of AWS Well-Architected Framework

Well-Architected Framework Cloud computing is proliferating each passing year denoting that there are plenty of opportunities. Creating a cloud solution calls for a strong architecture if the foundation is not solid then the solution faces ...
Jeremy Daniel

Find Competitive Advantage through AWS by Partnering With The Experts

Setting up your cloud configuration is too important to not involve the experts MediaTemple & CloudTweaks Thought Leadership Brand Series So many great business ideas fail at the moment when strategy must turn to execution ...
Madhaven Krishnan

Steps To Achieve Hyper Productivity With Your Digital Apps Development

Achieve Hyper Productivity The mobile and cloud revolution in enterprise IT is well underway and is already causing never-before--seen changes in the way apps are developed, managed and transformed. The driving factors behind these changes ...
Bittitan

Episode 6: Cloud Migration: Why It’s More Important Than Ever

The Importance of Cloud Migration Moving fully to the cloud is still a concern for many companies, but with millions of employees working from home, there’s an even greater need to migrate. Mark Kirstein, VP ...
Mike Johnson

Data Transmission Travel Plans – From The Ground Up

Don’t Forget Networking The term “cloud” was first used by the telecomm industry in early schematics of the Internet to identify the various, non-specific uses data was put to at the end of their cables ...