Apache Pig Careers Scope – Latest Salary Trends

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The document “Apache Pig Careers Scope with Latest Salary trends”, shows the popularity of Apache Pig along with the latest salary trends. Since, to analyze large sets of data representing them as data flow or to perform manipulation operations in Hadoop, we use Pig.

Many companies are adopting Apache Pig very rapidly. That means Careers in Pig and Pig Jobs are increasing day by day. So, this article includes all this information. Also, we will see why should we learn Apache Pig.

So, let’s start Apache Pig Careers Opportunities.

Pig Careers Opportunities

Apache Pig is an abstraction over MapReduce which is also a tool/platform to perform large sets of data representing them as data flows. Moreover, we can perform all the data manipulation operations in Hadoop using Pig.

Initially, as a research project at Yahoo, Apache Pig was developed, in the year 2006 to create and execute MapReduce jobs on every dataset. Then via Apache incubator, Apache Pig was open sourced, in the year 2007.

The first release of Apache Pig came out, in the year In 2008. Further, Apache Pig graduated as an Apache top-level project, in 2010.

Companies Using Apache Pig

Apache Pig has a career in many companies like:

  • Salesforce.com
  • AXA
  • GlaxoSmithKline
  • Slingshot Aerospace
  • BHP Billiton

Latest – Apache Pig Salary Trends

For manipulation operations in Hadoop, Pig has been the buzzword lately. As per high demand, the pay package for professionals with Pig skill is on par with industry standards. Similarly, here also census only belongs to the U.S. but you can get a good idea about Pig Salary trends.

Now, according to payscale.com-

Pig Career

Pig Career

Pig Career

Pig Career

Intended Audience

Data engineers, data analysts, data scientists, big data developers, and businesses working with big data make up the wide audience for Apache Pig. It offers a high-level scripting language called Pig Latin that, by abstracting the complexities of the underlying distributed processing, makes large-scale dataset data processing jobs simpler and faster.

Pig users gain from code reuse, simpler maintenance, and easy Hadoop ecosystem interaction. Apache Pig enables technical experts with SQL backgrounds to handle big data effectively without having to learn the complexities of low-level MapReduce or Tez programming because to its SQL-like syntax.

Conclusion

Hence, in Pig Careers tutorial, we have seen that how Apache Pig has become the de-facto standard for manipulation operations in Hadoop. Moreover, we discussed the Popularity of Apache Pig, Pig salary with the help of images.

Also, we discussed Pig growth and understand that who should learn Pig. However, if any query occurs, feel free to ask in the comment tab.

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