How Hadoop Developer is taking the World by Storm

Introduction to Hadoop

There is no other bigger name in Big Data Analytics than Hadoop. This is an open-sourced software framework that has enabled many companies to make a name for them.

Hadoop’s ability to integrate with different software makes this a highly valued software tool. This has generated several other sub-projects that have their focus in cashing in on Hadoop’s storage and processing capabilities.

There is a general trend of organizations generating products that make use of Hadoop leading to them being purchased rapidly. The market is forecasted to heat up for Hadoop in the months ahead. While some market experts have forecasted the growth and expansion of Hadoop, a few even believe challenges are also part of that growth phase.

The Chief Technology officer of a start-up named Xplenty, Saggi Neumann has said that Hadoop is a great product who are taking it up for the first time. But with the release of Apache Spark, Hadoop’s MapReduce is under serious competition. Apache Spark being an API is preferred sometimes over Hadoop. Apache Spark is said to be almost 100X faster than Hadoop MapReduce according to Neumann, but he also adds that Apache’s relational database Hive is geared up for considerable competition from Hadoop.

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Hadoop’s major distributors who include Cloudera, MapR, IBM, Hortonworks, and Hewlett-Packard are facing competition from each other. Each of them has been coming up with ways to commercialize Hadoop. Hadoop, he says will cross a huge barrier when it transitions to the cloud. This is a huge factor since a majority of IT companies are harnessing the power of the cloud.

The cloud serves as a flexible and highly inexpensive environment to do trial runs on Hadoop and develop solution for it. The cloud is also a great way to offload high load data processing tasks the cloud is the foreseeable future for many companies in the IT domain. Given below is a montage of organizations associated with Hadoop

Experts believe that Hadoop will get over the hump with ease when it comes to the Cloud integration. But the issue Hadoop might face will be with respect to finding professionals who are qualified and are experts at using the software. This has always been the Achilles’ to Hadoop’s growth since the very start. This is why it is so important for professionals to get certified in Hadoop- there is a very real and pressing needfor certified professionals who are highly skilled and able to work the software with ease.

Neumann says that the rise in demand for Hadoop professionals (certified or otherwise) is steadily rising from 2014 till date without showing any signs of letting down. According to the latest surveys and statistics, organizations are actually training their employee’s in-house and hiring expensive Hadoop experts to fill company tech needs.  This is, so that the company can use Hadoop technologies without being bogged down by the steep and continuous learning curve involved associated with Hadoop.

Source: SlideShare

The leading technical authority Computer Business Review has forecasted that the need for professionals in Hadoop will be met by a company’s own employees. The MO of this involves the businesses own in-house application developers and operations pros knowing the ins and outs of company business data. For example the employees such as this would also know the applications, business challenges and various points of data integration.

Even though there is a huge amount of promise in Hadoop along with a set of challenges, it looks like Hadoop is here to stay, with big changes that can be expected by all from the software framework.

Source: venturesity.com

Jobs of the Candidate

Hadoop has some of the highest paying jobs in the data processing industry. The average salary of a Hadoop Develop in the United States is around $102,000 as of Jan 10, 2017 according to the worldwide job portal Indeed.com.

Why learn Hadoop?

In the current IT industry it has become a necessity to process zettabytes of Big Data (mainly unstructured). This is leading to a rising demand for Hadoop professionals capable of working with unstructured data. Hadoop is now recognized as an essential skill by most Big Data companies, if not all.

Wikibon, the renowned Technology Research Organization Hadoop and NoSQL software services are probably the fastest growing technologies in the data market.

Another research report which was generated by Markets and Markets Research predict that Big Data Analytics and Hadoop will touch $14 Billion by 2017 as shown in the graph below.

Source: marketsandmarkets.com

The famous technology research organization Gartner has forecasted that Hadoop software framework is among the most highly advanced Big Data Analytics products as of today. This means that Hadoop is the technology that has become the prime focus of Chief Information Officers everywhere.

The Managing Director of Dice.com, Alice Hill says that Hadoop is an emerging skill and that companies need to manage large-scale data operations and this can be done in a very cost-effective manner. She also goes on to say that this growth works very well with the movement in the cloud.

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Top 5 reasons to take up Hadoop Certification

1) Hadoop brings in better career opportunities

The Chief Technological Officer and head of BigData Practice and Visual Path says that enterprises are looking for veteran IT professionals with previous knowledge and experience in business intelligence. Good knowledge on Hadoop ecosystems such as Pig/Hive with NoSQL Databases like HBase and Cassandra with MapReduc and HDFS.

Hadoop Professionals find career opportunities in various business industries, ranging from financial firms to retailers, sports, energy, utilities, healthcare, agriculture and media.

Post completion of Hadoop Certification a professional can apply for a bevy of jobs such as Hadoop admin to Developer. Or data scientist to data architect.

Apache Hadoop has seen itself becoming a vital support pillar for well-known IT Big Data systems such as Google, Facebook, Amazon, Apple and eBay. Since Hadoop is an open source framework, it makes it real easy and cost-effective for enterprises to organize and manage clusters when you compare it to licensed alternatives.

The much loved distributed computing tech that Hadoop causes relatively smaller businesses which want to use analytics to formulate valuable Big Data Insights. This means that various employers will take into account the experience and knowledge of Hadoop as a validated entry into Big Data payroll.

Keyword searches for the term “Hadoop jobs” on various job portals such as Dice.com, Indeed.com and simplyhired.com has revealed that there are anywhere between 2000 to 4000+ job openings for Hadoop related jobs. Professional just thinking about stepping into Hadoop must know that this is the right time to do so with the Hadoop market share rising exponential with time. Hadoop can also assist professionals in taking on leadership roles in powering business of clients to leverage essential Big Data Insights through smart analytics.

2) Learn Hadoop to pace up with the exponentially growing Big Data Market

Initially travel websites were expected to just find the place of interest as your destination and book a trip accordingly. But now travel websites compare most other existing travel websites to get you the best travel offers and package deals to help you choose you’re booking. Online marketplaces and retailers along with auction management enterprises help all kinds of users find hundreds of thousands of products online based on user preference alone!

All this point toward one obvious fact- that we as consumers have stepped into the efficient world of Big Data and that Hadoop is an exciting component of this data space. And that Hadoop is all set to meet the complex challenges of the jet paced digitized era.

Apache Hadoop has its advantage in the fact that storage and processing of massive amounts of data is made possible with highly economical commodity hardware. Digital data footprint is ubiquitous in the current day scenario and it makes it essential to master the storage of high velocity data which is high variety and high volume. And all this should be done at relatively low costs.

Hadoop is widely considered as the “Operating System” for the distributed Data File System (HDFS). The infrastructure of Hadoop makes it manageable for developers to analyse and go through the massive amounts of Big Data using MapReduce. Also other related programming environments for various social and enterprise causes like processing customer interaction and behaviour along with customization of patient care and prediction of sport event outcomes.

Over the months, the Big Data model has shifted along with advances in worldwide network connectivity and cloud computing. Enterprises can purchase processing power on a just in time basis (modular basis) and even purchase just the right amount of storage that is required. Big data in the age of distributed computing is becoming more of a challenge with every passing day. And Hadoop is quickly proving to be the most powerful Big Data analytics tools in solving said challenges.

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3) Increased Number of Hadoop Jobs

Source: quora.com

Many Job listings on several global job portals such as SimplyHired.com, Dice.com, Glassdoor.com and Indeed.com have shown a jump in demand for Hadoop professionals in today’s market. To take advantage of such engineering centric job openings one will have to undertake a certification in Hadoop. Stellar organizations such as Apple, Nokia, Walmart, IBM Amazon and a whole lot more are hiring for Hadoop skills.

Dice.com has said that Hadoop and Java is a combination of skills that holds one of the top 10 big data skills needed for 2015 and beyond.

An analyst in Gartner, Peter Sondegaard has said that each single Big Data associated role will create employment for at least three people outside of IT. So in the span of the next three years, a sum total of six million jobs will be generated by the information industry.

4) Analytics in Decision Making

Analytics have known to be the difference between a good company and a stellar market presence. Being a highly valued competitive resource, analytics is used by companies to funnel data interpretations into marketing campaigns and sales pitches. A survey conducted named the Analytics Advantage survey has shown that experts have forecasted the inevitable rise of data analytics in the coming years. This is because there is a huge amount of data that is not being used and at this point, only rudimentary analytics is being done. Around forty nine percent of experts in the survey believe that analytics is the main factor in superior decision making abilities. And sixteen percent of the experts in the survey say the strategic initiatives of Analytics are hugely beneficial. One thing is undeniable and stands out the most: Analytics play an important role in driving business strategy and making effective business decisions.

Source: readwrite.com

5) Learn Hadoop to pace up with the increased adoption of Hadoop by Big data companies

Forrester research has said Hadoop is an essential tool for giant businesses and they constitute the cornerstone of most flexible future data platform which are necessary for customer management. Hadoop goes beyond just being a data platform and is needed to build a firm foundation in the business technology platform of any company. This is made clear by the economics involved in Big Data Hadoop.

Source: dataoptsol.com

Fortune 1000 corporations are continuously adopting Big Data Hadoop and integrating them into business processes more and more as time goes on. Here is the state of big data adoption across various organizations. According to Forbes magazine research:

• 12% of big data initiatives are under consideration
• 17% of big data initiatives are underway
• 67% of big data in production

The accelerating growth of big data is not just creating more room for business opportunity but also creating huge demand for Hadoop professionals with high salary bracket increasing exponentially.

Hadoop Developers are among the world’s most in-demand and highly-compensated technical roles. According to a McKinsey report, US alone will deal with shortage of nearly 190,000 Data Scientists and 1.5 million Data Analysts and Big Data Managers by 2018.

6) Exciting Job Responsibilities of a Hadoop Developer:

The actual coding and programming of Hadoop applications is done by Hadoop Developers, with the role being similar to a software Developer. The only difference between the two is the fact that the former is in the Big Data domain. A Hadoop Developer has many responsibilities. And the job responsibilities are dependent on your domain/sector, where some of them would be applicable and some might not. The following are the tasks a Hadoop Developer is responsible for:

• Maintaining security and data privacy.
• Engaging in POC effort to help build new Hadoop clusters.
• Managing and deploying HBase.
• Proposing best practices/standards.
• Designing, building, installing, configuring and supporting Hadoop.
• Loading from disparate data sets.
• High-speed querying.
• Hadoop development and implementation.
• Pre-processing utilizing Hive and Pig.
• Translate complex functional and technical requirements into detailed design.
• Perform detailed analysis of vast data stores and uncover insights.
• Generate scalable and high-performance web services for data tracking.
• Test prototypes and oversee handover to operational teams.

Conclusion

Firstly, Analytics is a nascent field taking into account the sheer volumes of data that is being generated constantly by thousands of companies the world over. Now even though analytics has made some giant strides in the last few years, we have to remember that analytics is far from being completely automated and requires people to run and maintain the software.  People who are skilled professionals are required to generate analytics data and draw useful insights from the said data. This is true for a majority of the enterprises that exist in the current marketplace and are driving up the demand for Certified Hadoop professionals. If the candidate is able to navigate the ocean of Big data and become certified, then they will become an important asset to the organization thus boosting the business career of the student.

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