5 Reasons You Should Learn Big Data Tech

The amount of data out there is astounding and data sets are large enough nowadays that traditional data processing technologies such as relational database management systems (RDBMS) or data centers are no longer enough.

If you don't know what we mean by Big Data, then you should start here.

So there's never been a better time to learn some of the technologies that can handle Big Data.

Here are five reasons why it's time to hop on the Big Data bandwagon.

1. No signs of slowing down. What's fueled the meteoric rise of larger data sets? More people have access to mobile devices that sense and acquire information through the likes of cameras, microphones, etc. Consider this, since 2012, about 2.5 exabytes of data are created daily! That said, the Big Data revolution will continue to grow.

And with Big Data the tools will evolve: Big Data: Spark or Hadoop?

2. Everyone uses Big Data. Think Big Data is limited to IT circles? Think again. Big Data is everywhere, from politics to health care to even sports. Big Data analysis played a crucial role in President Obama's successful reelection in 2012. Healthcare organizations use it to provide more personalized prescriptions, predictive analysis, and many other services. And sports-wise, more teams are using Big Data analysis to scout for athletes who best fit their needs.

3. Information Managers in Demand. Someone has to be able to implement, run, and manage the software used to analyze Big Data. So, in conjunction with the rise of Big Data, the demand for information management specialists has increased. Knowing how to use Big Data technology/software can make you highly desirable in a number of industries, even more so if you are able to break down that data and make it more streamlined. Other desired Big Data skills include data mining, information warehousing, and ETL (Extract. Transform. Load).

4. Software Options Galore. Just how big is Big Data? Major players such as Microsoft, IBM, Oracle have spent billions investing in data analytics and management software. There are a lot of solutions out there. There are also open source options such as Apache Hadoop, meaning the cost of entry doesn't have to be outrageous.

5. You'll learn other tech. Want to help companies really leverage Big Data? You'll need to be able to utilize cloud-based services. They not only can provide the storage needed for large amounts of data, but the power needed to manage and analyze all of the data. Also, because Big Data is more than just numbers (it also involves media files such as audio and video) your data analysis skills are likely to expand!

Curious about Big Data tech training? Check out our Google BigQuery and Apache Hadoop training courses.