Big data is being generated by businesses at an unparalleled scale. Each business wants to analyse large volumes of relevant data for extracting actionable business insights which can offer a definitive competitive advantage. The one big data processing framework which is allowing data analysis at a lightning fast pace is Apache Spark. Its processing power has outpaced other market players like Hadoop, Storm, etc. because Spark can leverage both batch and streaming capabilities.
In the big data ecosystem, Spark along with Scala programming language support will continue to dominate the scene in the coming years until something more powerful evolves. Apache Spark and Scala training can provide your career with a well-deserved fillip by enhancing your skills to give you the leading edge.
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How Apache Spark and Scala Can Help You Advance in Your Career?
Success in a career can be measured by various parameters like entry-level salaries, growth prospects, consistency of opportunities, sustaining of demand of particular skillsets, etc. Knowledge of Apache Spark and Scala helps you secure a career position where all aforesaid parameters are optimally fulfilled. O’Reilly’s Data Science Salary Survey had confirmed way back in 2015 the strong correlation between Spark and Scala. It showed that professionals with Spark skills get $11,000 more than the median salary for developers, whereas knowledge of Scala adds further $4000 to the spectrum. Also, the salaries of Apache Spark developers are the highest among developers using other big data tools.
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Spark and Scala can help you advance in your career decisively as discussed below.
1. You Can Command the Attention of Top Enterprise Managers
The enterprise-wide adoption rate of Spark-Scala duo is growing exponentially. 9 out of 10 big data projects are Spark related ones. Spark has stopped being a mere component of the Hadoop ecosystem and is used as independent big data technology for enterprise analysis across different verticals. Apache Spark originator Matei Zaharia affirms, “Spark provides dramatically increased data processing speed compared to Hadoop and is now the largest big data open-source project.”
The knowledge piece contributions to the Spark community is also more than any other open-source frameworks of Apache. Business Intelligence workloads are being exceedingly supported on Spark SQL. Also, popular cloud companies have released their unique Spark PaaS systems which have rendered the Spark ecosystem more vibrant.
2. You Can Leverage the Potential of Big Data The Way Organizations Want
Another reason why Spark developers are highly successful in their careers is that exploring big data for solving different knotty problems has been made easier by this Apache framework. Operational and investigative analytics also find support in Spark. The fact that Spark is capable of storing data resident in the memory facilitates pacing up of machine learning workloads, something not possible with MapReduce of Hadoop. Organizations have become keener to rely on spark after IBM had started its drive of educating greater than 1 million data scientists on Spark in 2016.
3. You Can Help Organizations Optimize on Existing Big Data Frameworks
Hadoop had been the hottest thing to happen in the big data landscape before the advent of Spark. Many companies had invested lavishly on Hadoop infrastructure and it is not easy for them to invest again on the migration of legacy systems to Spark computing cluster. The best thing about Spark is that it can be used atop the present Hadoop clusters. You can run Spark on Hadoop MapReduce.
Companies are increasingly hiring Spark developers as these professionals can ensure compatibility of Spark with Hadoop and paving way for seamless integration. When you are able to save companies re-investment in new infrastructure, you will be entitled to attractive pay packages.
4. Demand for Spark Developers Would Only Soar Up
Hadoop is gradually getting eclipsed by Spark. With object-oriented programming support from Scala, Spark is seen as the viable alternative of MapReduce. There is still a significant shortage of Spark developers compared to a number of vacancies open in this segment. If your software development niche is different, you can jump on the Spark bandwagon by taking hands-on training and consolidating your skills with live projects. The demand for Spark developers would only peak in future and nothing can stop them from enjoying promising career opportunities.
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5. You Can Enjoy Ground-Breaking Offers from Companies
To bridge the gap between demand and supply of Spark developers, companies are willing to make recruitment policies more flexible, offering work from home opportunities, and providing higher salaries to attract the best talents in the industry.
Get Started with Learning Apache Spark and Scala
Spark along with Scala is set to play a major role in big data processing and business intelligence gathering in the coming days. With a comprehensive hands-on Apache Spark and Scala course, you can learn how to leverage the framework for solving contemporary Big Data-oriented issues for businesses. With Spark and Scala credentials sitting on your resume, nothing can stop you from commanding a rewarding industry position.
