Why more and more Java engineers are turning to big data

Why more and more Java engineers are turning to big data

The Java language in the programming position is self-evident, this article analyzes why more and more Java engineers are turning to Hadoop.
Hadoop is the top open source project of the Apache Software Foundation, an Open-source project created by Doug Cutting, the original Yahoo company, based on a Google published academic paper. The Hadoop project is a reliable, scalable, open source software that supports distributed computing.
The main reasons to communicate from Java to Hadoop are the following 4 points:

1 Big data is the future trend

Java is also good, but the current large data is a trend, Hadoop itself is Java development, plus Hadoop engineers than pure Java development is more than 3k, so there are a lot of Java are in this Hadoop large data direction.
2 large data posts high wages

Java is more people, but can be 25,000 of the few. Hadoop, for many people, takes more than 20,000 of the 1-year experience. So a lot of people who are being treated well are also learning Hadoop.

3 large data position development space

Java this piece if do 5-6 years to the management position, the salary basically can reach 20,000-25,000. But 25,000 is basically the Java technician's ceiling, unless it is an architect or a low-level developer. But Hadoop's 20,000-much salary is just so-so, and there's plenty of room to grow behind.

4 large data is not subject to age limits

Age is a big problem for technology, Java engineers Full Street are, Hadoop this age effect is relatively small, because big data is not a simple programming, programming the weight of even 1/6 less, many times need you from the server, computing, operation and other aspects to analyze problems to solve problems, The greater the age, the richer the experience, the more popular.