Big Data is a collection of structured, unstructured as well as semi-structured data. All efforts are laying in to have the understanding of these clusters in a most efficient way so that better insights can be withdrawn. A thorough study of data is needed to perform the expert analysis of such humongous data.
Data Professionals are the people who have their expertise in handling and tackling the problems of Big Data in the most suitable way. The effective skills are demonstrated to extract valuable information or results from the collected data. We have a few data professionals who work to deliver the requirements or the needs of the firms in their best forms. The data professionals can be categorized as:
- Data Engineers,
- Data Analysts, and
- Data Scientists.
All the big name companies have all three of the above because they understand the needs from profession to profession. The small businesses do not invest their time and research in all three of them, because they have a mindset that all the responsibilities can be well handled by one post.
The collection of the data from various resources is a hectic task for which the skillful and talented person is required. He scrapes the data, collects the data from different pipelines using a number of APIs, and then performs preprocessing, on the data so far collected. He soothes the work of his next man in the hierarchy, i.e., Data Analysts. By the way, the former delegates of the businesses are known by the Data Engineers.
Big Data is all around and surrounds us in a huge bubble and its getting bigger and bigger day by day. It’s engulfing every sector’s data at an unstoppable rate. The growth of Big Data hikes at an exponential level. The course in online Hadoop training certification for data professionals is a walkthrough of solutions to such issues discussed above.
Hadoop is Apache foundation’s project which works on HDFS (Hadoop Distributed File System) designed to tackle the Big Data problems in the most efficient way. Map Reduction is the ultimatum of the Hadoop. It has other features too, but map-reduce grabs all the attraction. The system is a primary data storage preference for the tycoons of Information Technology. The file system employs the NameNode and DataNode architecture to execute the distributed file system.
Image Source: Hadoop
If one wants to know more about the Hadoop framework, here’s the hyperlink of some courses offered online. If the data professional is keen on learning the analysis part of Big Data then SQL on Hadoop — Analysis is a fantastic tutorial to delve into. Through this tutorial, the professional comes across concepts like data warehousing, data summarization, query, and inspection of the data.
The provision of SQL-Like interface inquests the data preserved in different databases and file systems which bundle along with Hadoop and NoSQL databases like MongoDB and Cassandra. The data professional at least knows the analysis portion of the data.
Why should data professionals learn Hadoop?
Gone are those days when merely a million or billions of rows of data were processed.
Nowadays the data from social media, healthcare, medicine, spatial images, telescopes data engaged for 24X7 to study the universe, power plants, real estate, Information Technology and who knows which other sector is increasing the pile of data. All point in one direction — handle the data in the most efficient ways. For this vast one problem, Hadoop is the asset to the data professionals.
Some of the reasons are:
1. Career
As per the reports of Forbes magazine, the statistics of 2015 says that approximately 90 percent of multinational companies report from medium to high levels of investments are done in Big Data analysis, and the call of investment is proven to be “very significant.” On top of this 2/3s of the replies said that Big Data and the analysis of the data initiative had a noticeable, reckoning impact on the firm’s’ revenues.
2. Chances of jobs with Apache Hadoop
Gazing at the charts of Big Data sector forecasts, the promise is forever, and the rising trend will keep increasing with time. So, therefore, the job fashion is not for a short while, Big Data has proven it’s worth, and it’s staying for the long run. Moreover, the Hadoop has the potential to elevate the job prospects for both the fresher as well as for experienced data professionals.
The research report of Avendus Capital stated that the IT sector of Big Data in India hovered around $1.15 billion which is one-third of the KPO sector in India alone. Adding to the fact, The Hindu reckoned that by the 31st December of 2018, India solely faced a downpour of two lakh data professionals. This shows a considerable career and spiking opportunities.
The large gap in Big Data tacklers can map with inductive learning of Apache Hadoop which enables the skillful data professionals and freshers, to enhance the Big Data skills to their skill set.
3. The Recruiters
The best place to seek information regarding jobs is LinkedIn. Here you will not only come across the jobs but also you’ll come to know about the industry’s prominent roles in various sectors and departments. Yahoo! Is the biggest company to employ the data professionals who have expertise in Hadoop.
4. Paychecks
What’s the use if there’s no attractive payslip at the end of the month. The Hadoop certification makes sure of this aspect with good emoluments. The data professionals not only withdraw a good amount but also gain an equivalent or even higher stature in the office. Respect and currency are both high for Hadoop certified Data professionals.
The Dice’s salary survey emphasizes that Big Data professionals get approximately $89,450 per year. The par of the salary bar is even raised a bit higher if one has Hadoop knowledge.
The same survey also says that the data enthusiasts who volunteer for Big Data projects along with their current holdings gain more interest, and are much more valuable and marketable for other employers.
Two Key things for Hadoop Data Professional
It’s better or even catchy if the professional knows of:
- Data Warehousing, and
- Linux fundamentals.
1. Data Warehousing
The steps are taken or guide followed in handling the data collected by the particular company by various techniques from various sources — data warehousing provides the managerial decisions to solve the problem.
Hadoop provides the concepts, tools, and strategies that can solve the issues of traditional avenues. The Hive component of Hadoop is an open source data warehousing system designed to serve the only purpose of managing a data warehouse.
2. Linux Fundamentals
The Hadoop expert as a data professional must also know few basic things of Linux:
- Know your Hardware, operating systems, and accordingly, launch AWS EC2 (Elastic Compute Cloud) instances,
- Make a connection with the servers — session detailing of SSH, user, and group profiles, telnet, ping and firewalls/security groups,
- Regular expressions, knowledge of editors like vi or vim,
- Shell Scripting, and
- How to set up the virtual environment.
The Summation
On the whole, it won’t be wrong to say that the data professionals must know Hadoop. The marvelous framework to work with which can ease both the worlds of the developer as well as the firms. Hadoop certification can alter the life of data enthusiasts remarkably, in respect of fortunes as well as in the aspect of work experience too.
