{"id":66787,"date":"2018-07-06T15:51:06","date_gmt":"2018-07-06T15:51:06","guid":{"rendered":"https:\/\/www.whizlabs.com\/blog\/?p=66787"},"modified":"2021-01-21T12:46:16","modified_gmt":"2021-01-21T12:46:16","slug":"big-data-tools-for-java-developers","status":"publish","type":"post","link":"https:\/\/www.whizlabs.com\/blog\/big-data-tools-for-java-developers\/","title":{"rendered":"Most Popular Big Data Tools for Java Developers"},"content":{"rendered":"

It\u2019s clich\u00e9 to mention how quickly technology evolves. Java has been there for more than two decades in the technology domain as the most \u201clove to hate\u201d technologies out there. If you look closely across the broad spectrum of programming languages, operating systems, and databases, little has changed over the past few years. With the evolution of new technology space with big data and IoT, we can see much advancement. <\/span><\/p>\n

However, Java is still the backbone for many big data tools for Java developers. Java skills and Java certification<\/a> can take one’s career to the next level. The Java version history<\/a> clearly defines the value and success of Java in the domain.<\/span><\/p>\n

Java is the natural fit for the Big data as some of the core modules of big data tools for Java developers are written in Java. More interestingly most of these big data tools<\/a> for Java developers are open source. Hence, they are easy to access.<\/span><\/p>\n

Also Read:\u00a0<\/span>Top 10 Open Source Big Data Tools in 2018<\/a><\/span><\/p><\/blockquote>\n

In this blog, we will discuss the usefulness of Java for Big data tools and its future. Also, we will focus on big data tools which are mainly based on Java APIs.<\/span><\/p>\n

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