The Immense Hadoop Career Opportunities in 2018 and Ahead

Hadoop Career Growth: Rising Hadoop popularity

Back in the year 2015, it was predicted that Indian Big Data Hadoop industry will grow five folds in the analytics center and one more thing was predicted that India alone will face a shortage of about 2 lac data scientist by the end of 2018, according to one researcher.

Hadoop is considered as the supermodel of Big Data. We can say your Hadoop Skills is a deciding factor in getting a springboard to your career or getting left behind.

Therefore, if you are skilled in Hadoop there is a huge scope in the industry, even if you are fresher. There is almost no other alternative which can deal with petabytes of data as Hadoop can, amongst the open source framework.

Hadoop Career

Well, about 90% of global organizations report medium to high levels of investment in big data analytics, and about a third call their investments “very significant”, according to a Forbes report of 2015. And also, two-thirds of respondents report that big data, as well as analytics initiatives, have had a significant and measurable impact on revenues, most importantly.

It is an undeniable fact that candidates with greater Hadoop skills (being a supermodel in Big Data) are in huge demand. So, choosing Hadoop and Big Data technologies is definitely a great choice for IT professionals, nowadays.

Hence, as an advantage, Hadoop offers us an accelerated career growth, increased pay package, and a very rewarding career.

Rising Demand for Hadoop

With time, all the organizations have also realized the benefits of Big Data analytics and its technologies. So, many organizations are adopting Hadoop as well as showing interest in Big Data. And, due to this reason, the demand for Hadoop and Big Data is rising rapidly. Yet, we can say, now is the right time to start learning Hadoop and Spark, if someone is interested in analyzing data and wants to pursue his or her career in this field. Either as a fresher or experienced, it would always give you a good start. It is a fact that for professionals who can work on Big Data, there is a huge demand currently.

Required Skills to learn Hadoop

To learn Hadoop, there is no such pre-requisite. Still, prior exposure to Core Java, database concepts, and any of the Linux operating system flavors will give you head start when working with Hadoop.

Required Skills for Hadoop Career

Here we will list out all the possible prerequisites to learn Hadoop or to start a Hadoop Career, although all are not necessary, some are optional or advantages to have as well:

Prerequisites:

Java Programming language (Necessary), Linux Operating System (good to have), SQL Queries (good to have)

Hadoop & Ecosystem:

Flume (Necessary), Yarn (Necessary), Sqoop (advantageous to have), HBase (good to have), HDFS (Necessary), MapReduce (Necessary), Hive (Necessary), Pig (good to have), Oozie (optional), Zookeeper (optional), Ambari / Cloudera Manager (optional)

Spark & Ecosystem along with Hadoop:

Spark Core (Necessary), Spark SQL, DataFrames and DataSets (Necessary), Spark Streaming (Necessary), GraphX (optional), MLlib (optional),

Additional Components:

NoSQL DataBases like Cassandra, MongoDB (optional), Business Intelligence Tools like Jasper Soft, Tableau, Microstrategy, SAP BI (optional), ETL Tools (optional), Statistical Tools & Machine Learning: R & Python (optional)

Who should learn it?

• Managers: Those who want to meet the current & upcoming challenges of data management with the help of latest technologies.
• Those who are aspiring to a great career in the cutting-edge technologies in IT, it includes any Graduate/Post-Graduate.
• Moreover, those who are into ETL/Programming as well as exploring for great job opportunities in Hadoop, Software Engineers.
• Developers and Architects
• BI /ETL/DW professionals
• Senior IT Professionals
• Testing professionals
• Mainframe professionals

And, more obviously all Freshers who want to pursue their career in Hadoop.

Job Roles for Hadoopers

• Hadoop Developer:

Hadoop Developers are those who perform actual coding/programming of Hadoop applications.

• Hadoop Architect:

Those who plan and designs next-generation “big-data” system architectures and also manages the development as well as the deployment of Hadoop applications are Hadoop Architect.

• Hadoop Tester:

Hadoop Testers generally troubleshoot and find bugs in Hadoop applications. They just makes sure that the MapReduce jobs, the Pig Latin scripts, the HiveQL scripts are working or not.

• Hadoop Administrator:

Simply put, a Systems Administrator is what we call a Hadoop Administrator, they perform setting up of Hadoop clusters.

• Data Scientist:

Those who use different techniques for analyzing data from different sources in order to help a business make intelligent decisions are Data Scientists.

Some other roles are:

• Data Engineer
• Big Data Architect
• Machine Learning Engineer
• Software Development Engineer
• Big data Engineer
• Big Data Consultant

Future Predictions for Hadoop and Big Data Analytics Market

It is said that along with the compound annual growth rate of 43% during 2018 -2022, Hadoop and Big Data Analytics Market are anticipated to reach $40 billion by end of 2022.

Different Domains you can work in

Banking & Finance Sector

In Banking & Finance Sector, Hadoop or Big Data technologies are helping in card fraud detection, audit trails & enterprise credit risk reporting. For example, “The SEC (U.S. Securities and Exchange Commission)” is using Big Data.

Communication, Media & Entertainment

To make better predictions and recommendations to the customers, consumer data is collected, analyzed and utilized with the help of Big Data Technologies. For example, to deliver detailed sentiment analysis on the tennis matches to users in real-time, “Wimbledon Championships” leverages big data.

Healthcare

Healthcare department is using Big Data Technologies to analyze the healthcare data as well as to treat patients accordingly based on their previous case histories. Also, they are identifying the disease that is common in a particular area, hence easily prevention can be taken in less time. For example to create visual data that allows faster identification and efficient analysis of healthcare information, “The University of Florida” used free public health data & Google Maps.

Education

Basically, to incorporate data from varied sources and then utilize that data for improving education, the Education sector is using Big Data Technologies. For Example, over 26000 students have deployed a Learning and Management System that tracks log time, time spent on different pages and the overall progress of a student over time from “University of Tasmania ”.

Government

Interoperability and Integration of Big data from different Government schemes will improve the efficiency of the schemes as well as also offer better outcomes. For Example, to detect and study patterns of food-related illness and diseases, allowing for faster treatment responses, “The Food and Drug Administration(FDA)” is using Big Data.

Companies using Hadoop

There are more than 14000 companies which are using Hadoop, though, list of top Companies using Hadoop is:

• American International Group Inc
• Rang Technologies Inc
• Impetus Technologies, Inc.
• Orbis Technologies, Inc.
• ViaSat Inc
• Amazon Web Services
• Cloudera
• Hortonworks
• MapR Technologies
• Intel
• Microsoft
• Teradata
• Pivotal Software
• IBM

Hadoop Career Growth

Basically, with each passing day, Hadoop deployment is rising. Here, in below graph, you can see the job trend for Hadoop from a global or sort-of global standpoint.

Hadoop Salary

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