One of the fastest growing career fields in the last few years is big data and big data analytics. Thanks to the onset of data collection through new channels like social media, mobile apps, and the technological advancements that allow the data to be transmitted faster then ever before, companies have massive amounts of consumer data and behavior patterns that they need to collate, analyze and understand. That’s where big data analytics comes in.
Organizations in every sector, from consumer products manufacturers to hospitals to governments all want to unlock the insights that collating tons of user data brings them so they can make informed decisions. It’s a huge advantage to know just the right time to sell a customer a certain product, or to be made aware earlier if a particular combination of medications is having any widespread side effects…and these are just two examples of the power of big data analysis.
According to Forbes, “the advertised salary for technical professionals with big data expertise and in-demand skills is $124,000 net of bonuses and compensation.” For many, that is a significant career move with big benefits.
This is why big data and analytics is one of the main courses offered at Pro Learning Hub. It’s important to us to research career and business trends to bring you the courses that will give you the tools to further your career.
In this article, we are going to take you through the basics of what big data is, why it’s such a well paying and fast growing career field, and go over some of the basics that are included in our Big Data & Analytics course.
What is Big Data and Data Analytics?
The technical definition at Wikipedia states that big data is a term for data sets that are so large or complex that traditional data processing applications can’t handle them. The term also encompasses the predictive analytics that go along with that data to extract meaning and value from it.
There are some main characteristics that are used to describe big data:
- Volume – The quantity of stored and generated data.
- Variety – The nature and type of data collected.
- Velocity – The speed at which the data is generated and processed.
- Variability – Inconsistency of the data set, which can impede processes that manage it.
- Veracity – The quality of the data.
What Big Data Technologies are Used for Storage and Data Analysis?
Since traditional types of data processing applications cannot be used to handle the sheer size of the data, there are special big data analysis tools that have been created to do the job. As a student in our Big Data & Analytics course, you will learn all about these big data tools and how to use them effectively to analyze huge reams of statistics and other information.
Hadoop Architecture – Hadoop is an open-source software framework created and maintained by developers from around the world. It’s free to download, use and contribute to. Big data Hadoop framework was created for storing massive amounts of data and processing it using multiple low-cost computers for fast results.
1010data – This is a privately held company that provides a cloud-base platform and services for business analytics and database publishing of big data.
Actian Vector – Actian offers their Actian Vector in Hadoop and Actian Analytics Platform to businesses of all sizes.
HPE Vertica Analytics Platform – An advanced SQL database analytics tool built especially for the needs of big data and data analysis.
IBM Big Data Platform – IBM uses a zone architecture optimized for processing and analyzing massive amounts of data.
Kognitio Analytical Platform – This platform uses a combination of cloud storage, Hadoop clusters, and data warehouses and legacy systems to feed data into the SQL analytical processing layer of the platform.
Why Big Data Analytics is Such a Hot Career Field
One of the biggest reasons that big data has become such a hot career field is because the data collection and need to make sense of it with expert analysis happened faster than did the programs to train skilled technologists. Pro Learning Hub has exceptional instructors in this field to help you get in on the ground floor of this burgeoning career.
Here are some reasons big data is a must-have skill in 2016 and beyond:
Huge Demand – There is a soaring demand for those that know big data technologies and how to do data analysis. All the keystrokes, site visits, likes, and more that advertisers and others are gathering doesn’t mean much unless someone knows how to read them all and report on the key insights.
Multiple Job Opportunities – Data analysis of big data is a growing need in companies and governments around the world. According to a McKinsey & Co. study, “By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.”
Great Salary Potential – Even at entry level, the salary potential is excellent, and grows as you become more experienced. According to DataJobs.com, the salaries for this field range from $50,000 for an entry level Data Analyst to 165,000 for a Big Data Engineer.
Big Data is a Top Priority in Many Organizations – In a survey conducted on Peer Research: Big Data Analytics by the Intel® IT Center, 200 IT managers at large companies were surveyed and they found that 84% were currently analyzing unstructured data and 80% have plans to adopt infrastructure that will support high data volumes.
Data Analysis Is a Key Decision Making Factor – Most organizations have now come to understand just how important proper analysis of data is to their decision making in a number of ways. Trends can be seen and acted upon, and important factors that were missed in all the details kept in different databases can now be seen through massive cross referencing of multiple data points.
Big Data Tools are Used Everywhere – Just about every market sector needs to gather and analyze data, and it’s only continuing to grow as the ease of gathering the information and the capacity for storing it gets better.
Choose Your Big Data Career Path
Pro Learning Hub knows all the various job titles that you can prepare for within the field of big data and data analysis. Our courses are designed to let you learn at your own speed, anywhere, anytime, while giving you the solid background and education you need to take you where you want to go.
Some of the various jobs you can prepare for include:
- Big Data Analytics Business Consultant
- Big Data Analytics Architect
- Big Data Engineer
- Big Data Solution Architect
- Big Data Analyst
- Business Intelligence and Analytics Consultant
- Metrics and Analytics Specialist
- Prescriptive Analytics
- Predictive Analytics
Sign Up for Your First Big Data Course Today
It’s easy to get started on a fast track, high paying career in big data. PLH makes it simple. Click here to review our course on Big Data & Analytics and sign up today. You’ll be surprised how fast you learn!