The market of Data Hadoop is going through an enormous advancement, and there is no downshift to this progression. Hadoop has made storing data economical for companies and organisations. Besides, companies can wisely make out a financial plan, easily track down customers’ records, and provide customised recommendations with the assistance of Hadoop. 

People are shifting their career paths as Hadoop has opened doors for lucrative opportunities and growth. An online Hadoop certification course will assist one in learning more about it.

What is Hadoop?

Hadoop is an open-source framework created by Apache that stores and processes high-volume data. It has been coded with the assistance of Java and can be utilised for offline work, and can even be elevated by simply amplifying nodes. Big companies like Twitter, Meta, and LinkedIn use Hadoop because of its benefits.  

Why must one learn Hadoop?

Professionals are advised to learn Hadoop as all big companies will soon declare it a mandatory skill. Hadoop helps to process zettabytes and big unstructured data. Although it is quite complicated to grasp, beginners can easily learn Hadoop online with the many courses available. Learning Hadoop has immense advantages, some of which are enlisted below:

• Economical- Hadoop is quite more economical than the traditional system. This is because it is open source and stores data in commodity hardware.   

• Upgradable- Hadoop can be easily upgraded by amplifying clusters with more nodes. 

• Rapid- Hadoop can distribute data across the clusters faster than any traditional method. Hadoop also reduces the data processing time as the tools are often located on the same servers. Due to this fast technology, terabytes of data can be processed within minutes. Besides, petabytes of data can be processed within a few hours. 

• Easily resist failure- Hadoop can easily resist failure. This is because it has a feature that can copy data. Therefore, if there is any network failure, this replicated data can be used. Hadoop allows data to be replicated or copied thrice.

Companies are opting for Hadoop as it has a slew of advantages that benefits the companies and allows them to generate more revenue.

Successful anecdotes after using Hadoop

Hadoop by Apache has created history by making impossible aspects real. It is an open-source framework that usually analyses big unstructured data. It also has a lot of potential. Therefore, big companies are using it and receiving positive outcomes. Here are a few immensely famous Hadoop success stories-

• The immensely famous newspaper company, New York Times, is a current user of Hadoop. They use it to convert their 4 million data into PDFs. This whole procedure takes 36 hours with the assistance of Hadoop. Otherwise, converting 4 million data with traditional techniques is quite tedious.
• The famous American retail company Walmart also uses Hadoop by Apache. This framework generates customised recommendations for their customers by analysing their recent data. And this method has turned out to be a success for Walmart. 

The ultimate top 5 reasons to learn Hadoop online 

By now, you have comprehended how important Hadoop is for the future. Here are the top 5 lucrative reasons why one should learn Hadoop online.

1. Hadoop offers better and more lucrative career opportunities 

There is an insufficiency of Hadoop professionals. Therefore, companies are offering lucrative salaries and opportunities. Hence, learning Hadoop online will help you learn the required skills and open the doors to great opportunities. 

2. Many jobs are available as Big data and Hadoop professional

As there is an increase in the demand for Hadoop among big companies, it has turned out to be a great job generator. So if an individual is willing to shift his career, they can easily enrol in a Hadoop online course to fit in his job role. Some of the famous job roles are:

• Data Scientist
• Data Engineer
• Software Engineer
• Data Analyst
• Hadoop Admin

3. Hadoop has better technology

Hadoop serves better technology than traditional methods. It is also cost-effective and performs better.

4. Big companies are adopting Hadoop

Hadoop is the face of the future. Big companies are adopting it to increase their revenue and adopt profitable strategies. So it is essential to learn Hadoop as it will become one of the main requirements of large companies.

5. Hadoop will lead to Big Hadoop Ecosystem

Learning Hadoop is important, but it is also important to learn technologies that fall under the Hadoop Ecosystem. This will help an individual to diversify and boost their career. So, one should opt for a course that covers the entire Hadoop ecosystem.

Conclusion

Imarticus Learning has brought a data analytics course with placement that will help you to learn more about Hadoop. This online course will help an individual to bag alluring

The popularity of Hadoop among big companies is growing immensely. The market of Hadoop has also witnessed the largest transition in recent years. This transition will have no downfall anytime soon. Hadoop allows companies to store data, make financial plans, track down information and formulate personalised recommendations. 

You can learn Hadoop online to grab all the lucrative opportunities this field offers.  An online course will help you change your career easily. 

What is Hadoop?

Apache had created Hadoop, an open-source framework. It can easily process and store big-volume data. The entire framework has been coded with the assistance of JavaScript. Hadoop is unique as it can be amplified by just adding more nodes to its clusters. Big companies like LinkedIn, Meta, and Twitter are already using Hadoop.

What are the four fundamental modules of Hadoop?

Hadoop consists of four fundamental modules. Let’s learn more about these modules:

Hadoop Distributed File System (HDFS)

HDFS generally uses low–end or standard hardware and is more efficient than traditional systems. It can store big data better than the traditional system. Besides, HDFS also has an outstanding fault-tolerating system.  

Yarn

The full form of Yarn is Yet Another Resource Negotiator. The main task of this is to regulate and supervise various clusters and nodes. It also organises tasks. 

Map Reduce

This is a framework designed to allow programs to compute big data in parallel. The Map Reduce framework converts the input data to evaluate it using the Key value pair. 

Hadoop Common 

Hadoop Common is the main JavaScript library. This is mainly used to launch the Hadoop framework and other modules. 

Advantages of using Hadoop

Large companies are opting for Hadoop because of the various advantages it offers. It has escalated the revenue of many large companies. Here we have enlisted a few benefits of Hadoop:

 Scalable: Hadoop can be upgraded at any point by adding more modules to its clusters.

Rapid: The traditional systems can not distribute data among clusters as fast as Hadoop can. Most of the data analysis tools of Hadoop are situated on the same servers. Therefore, the processing time is reduced significantly. Due to Hadoop, terabytes and petabytes of data can be processed within a few minutes and hours, respectively.

Economical: Hadoop is more economical than traditional systems as it is an open source and usually stores big data in commodity hardware. 

Failure Resistant: Hadoop can resist data failure easily. It has a feature which enables it to copy and replicate data. This replicated data is used when any network collapses. Data in Hadoop can be copied thrice. 

Various tools from Hadoop Ecosystem 

The Hadoop ecosystem consists of various tools as well as applications. These tools are used to store, manage and analyse huge data. Here is a list of a few Hadoop tools:

• Spark- An open-source tool, it is mainly used for huge data loads. It also encompasses within itself batch processing, graph database, streaming analytics and Machine Learning.

• Hive- This tool assists the users in using Hadoop along with SQL. On a massive scale, Hive can enable and distribute data analytics. It can also work on the fault tolerance feature of Hadoop. 

• HBase- This non-relational open source runs on Hadoop Distributed File System (HDFS). HBase is a Hadoop tool that can be upgraded at any given point. Apart from that, it can circulate huge data among various in-built stores.  It also has access to rows and columns in real-time.

• Presto- This is an open-source tool which supports the ANSI SQL. Presto also includes complicated inquiries as well as window functions. It can work on more than one data source that includes HDFS as well. 

• Zeppelin- This tool is a type of notebook that permits interactive data. 

What jobs are available as a Hadoop professional?

There is a huge demand for Hadoop professionals as more companies are adopting it. Therefore, companies are offering lucrative salaries so that individuals can change their career options to become Hadoop specialists. Here is a list of job roles of a Hadoop Professional:

• Hadoop Admin
• Data Engineer 
• Data Scientist 
• Software Engineer 
• Big Data Architect 
• Data Analyst
• Hadoop Developer

Conclusion 

If you are wondering how to learn Hadoop, then enrol yourself on the online course by Imarticus Learning. This course is handled by professionals who arm you with the requisite knowledge and skills. The data analytics course will help you grasp the nitty-gritty of Hadoop and open doors for lucrative job opportunities. 

Java is a programming language that has flourished so much over the last few years that it has attracted most students to take computer applications over commerce. As the world keeps on evolving digitally, students are considering building their career in data analytics or a career in Java programming.

Many students are choosing to learn Hadoop online to improve their computer application skills and stand out from the crowd. Since Hadoop specialises in handling huge data, it makes the developers capable of taking various challenges to improve the overall software.

Advantages of learning Hadoop online

• Better job opportunities

IT industry requires individuals who have acquired specialised knowledge in Java and those who are well-versed in Hadoop. For developers to have specialised knowledge of Hadoop, it is essential for them to master Java. 

• Better salaries

Once you have struggled enough to become a part of a big industry and have switched to big data Hadoop, you can earn a salary of a staggering $150,000 which is more than triple the amount of what an average American earns annually. In addition to this, once you have switched to the big data Hadoop sector, you will be tackled with bigger, harder and more complex projects, which will boost your career as a developer. You will be required to enhance your quality of work, giving you a higher scope to make a difference and prove to the company that you are a valuable resource to them.

• Increasing demand for Hadoop professionals

In 2021, there were many investors who invested in the big data industry, upscaling the demand for Hadoop developers. Looking at these predictions and the analysis report of MRFR (Market Research Future), the sector is set to show a promising growth rate of approximately 37.30% by the end of 2023. Amongst all this, the BFSI (Banking, Financial Services and Insurance) segment has also predicted that the Hadoop big data analytics sector will ensure the top position all across the global market.

• Disruptive technology

In all its glory, Hadoop has proven to the entire world that it is better in every domain than its competition. It is better than the traditional systems of warehousing, data analysing, cost management, etc. The entire Hadoop ecosystem goes through continuous changes and innovations, which lets it stay updated with other competitors. 

• The king of the industry – Big data

Big data has transformed itself into a domain, and Hadoop is the stepping stone to entering that domain. To have your career boosted in the big data sector and get elite jobs like big data architect and big data analyst, you are advised to learn Hadoop online. Big data has left no stone unturned. It is present in each and every domain, making organisations realise its capability and business values.

The future of Java industries

The big data segment of the IT industry has crossed the $50 billion mark, witnessing exponential growth in the past few years. Java developers have increased chances of a high payroll if they shift to big data jobs. Being a Java developer, you must have heard of big data Hadoop and how learning Hadoop increases the chance of high salaries by 250%. Most Java developers have already switched to the big data Hadoop segment to push their careers consistently, gaining expertise.

When you know the Java programming language, it is easy to acquire big data knowledge from firms which makes it a potential advantage for future Java developers who are planning to step into this field.

Conclusion

As the world keeps advancing towards digitalisation, the role of Java industries and the digital sectors related to it will only flourish. However, making progress is an essential task. Java developers need to upskill and learn Hadoop online courses to get a better career in Java programming. Imarticus offers a postgraduate program in data science and analytics, which helps students learn practical applications in data science and analytics. 

Do we need to care about learning Hadoop online? Here’s what we know

Hadoop is a distributed storage platform designed for big data. It also allows you to store large amounts of data and analyze it quickly.

Hadoop is a framework for storing and processing large datasets. It’s also an open-source software project written in Java and designed to scale up from single servers to thousands of machines.

Doug Cutting and Mike Cafarella created it. It was initially created to support distribution for the project to build a search engine called Nutch. Doug is currently the Chief Architect of Cloudera and was working at Yahoo! at the time.

How to become a data analyst?

To become a data analyst, you need to know the basics of programming and statistics. You must also understand how data types, such as text files or images, are processed.

The best means to learn these skills is through online courses that teach you software like R and Python and math concepts such as linear algebra and calculus. 

Analyzing Big Data with Hadoop

Hadoop store, manage and analyze unstructured data like text files, emails, videos, or images.

You can use Hadoop as part of your big data pipeline in two ways:

• As a standalone tool that you use to retrieve or process your unstructured data (e.g., how long did it take me to download my film?)
• As one of many tools in a Hadoop cluster (e.g., I want my team members on different computers)

What to keep in mind when learning Hadoop online?

• Choose the right course. You don’t necessarily want to sign up for a class that will teach you how to use Hadoop because many other open-source projects do that too. You need a course that focuses on what it means for your business and how these technologies can help you meet those goals.
• Choose the right platform. The first step in learning anything is finding out where else you can learn from others who have already gone through this process. Once again, make sure whatever platform or tools you choose have great support communities so if something goes wrong during your trial run phase, then there will be someone who knows about it already!
• Choose wisely! Everyone has different goals when starting out, so try not to worry about getting things perfect since perfection isn’t even achievable.

Learn data analytics with Imarticus Learning

 With the help of this data science course, you could land a career in hadoop. Utilize what you’ve learned by using data science to create intricate models that produce essential business forecasts and insights.

Course Benefits for Students:

• Students will be familiar with the most popular data science methodologies and tools, data analytics, and machine learning basics.
• Students who complete 25 real-world projects and case studies under the supervision of business partners will receive a data analytics certification course.
• The ability to display data using a data analytics tool is one of the most sought-after skills on the market. 

Visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad, or get in touch via the chat support system.

Hadoop from beginning to end: Learn Online

Learn Hadoop from beginning to end and how it can become a game changer for your company. The Hadoop ecosystem has evolved dramatically over the years, and it’s now time for you to understand this technology by getting hands-on with real-world data processing using easy-to-understand examples and practical homework.

HADOOP BASICS

The (HDFS) Hadoop Distributed File System, which provides storage, and the MapReduce programming model, which provides processing, are the only two technologies that makeup Hadoop’s architecture. 

A single file or a directory of files may make up a portion of the overall dataset; HDFS exists to divide, distribute, and manage these portions. Pre-loaded onto the worker nodes, these data chunks are processed in the MapReduce stage by the worker nodes. HDFS eliminates all the hassle and inefficiency of moving data back and forth across the network by keeping it local at process time.

Each worker node spins up one or more tasks during the MapReduce phase (either Map or Reduce).

The Best Way to Learn Hadoop 

Online courses, books, and hands-on experience are the best way to learn Hadoop. As you’ll see later in this article, there are many advantages to learning with this method:

• If you are busy or have other obligations that prevent you from attending classes in person (or if they’re too expensive), then learning without physical presence can be more convenient than attending classes on campus or commuting between them every day. 
• For beginners, taking a guided course is always beneficial and simplifies learning Hadoop. For beginners learning Hadoop, there are many classrooms and online training options on the market. These programs also include extra tools and packages for learning the Hadoop ecosystem. 
• Following blogs enables one to learn more than one could from books alone. There are many beginner-friendly big data blogs online to give you a sense of the trends and innovation taking place in the field.

The Hadoop framework can easily store and process large amounts of data. You can use Hadoop to analyze big data sets quickly and efficiently, but it’s not easy to learn independently—you need an instructor! 

That’s where we come in: with online courses, you’ll be able to take advantage of all the benefits of working with Hadoop as soon as possible and become a data analyst.

Explore a career in data analytics with Imarticus Learning

With the help of this data science course, you could land a career in tableau. Utilize what you’ve learned by using data science to create intricate models that produce essential business forecasts and insights.

Course Benefits for Students:

• Students will be familiar with the most popular data science methodologies and tools, data analytics, and machine learning basics. 
• Students who complete 25 real-world projects and case studies under the supervision of business partners will receive a data analytics certification course. 
• The ability to display data using a data analytics tool is one of the most sought-after skills on the market. 

Visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad, or get in touch via the chat support system.

Related Articles 

https://imarticus.org/building-a-data-analytics-project-with-python-here-are-a-few-tips/

https://imarticus.org/top-11-sql-queries-that-a-data-scientist-should-know/

Learn Hadoop Online: Analytics Qualifications That Will Get You Hired

Big Data helps organisations to obtain better insights into business to improve decision-making by providing ample information. However, a decade back, there was little knowledge about technologies that are required for storing and processing this sea of information.

Nonetheless, the scenario has altered totally, and nowadays, there are multiple ways to deal with this issue, and Hadoop is one of the first technologies that was used for this purpose. Moreover, since organisations are now fixating on the use of data and storing information is becoming crucial, the need for ample professionals has arrived. So, if you wish to enter this field, then taking time to learn Hadoop online can add to your resume and helps you get better opportunities.

What Are The Skills Required For A Hadoop Career? 

If you are wondering what skills are required for learning Big Data and Hadoop, then you need to dig deeper and understand the curriculum for this section of data analytics training. You need to possess the following tech skills:

• Linux
• Knowledge of OOPs programming language or a functional programming language (Java/Scala/Python)
• SQL/NoSQL
• Hadoop ecosystem tools like Pig or Hive
• HBase

Now to acquire these skills, you can enrol for a data analytics course with placement. Now there are many such courses in the market, but one that stands out owing to its advanced curriculum, industry-focused case studies, etc., is the Data Analytics and Machine Learning program from Imarticus Learning. With this course, you will be able to learn about the fundamentals of this field and acquire the skills necessary to further your training in learning Hadoop.

Who Can Opt For A Hadoop Career?

Anyone with the relevant knowledge and expertise can shift to this career path. Having said that, it is primarily the IT professionals who make this switch from the following domains –

• Software Architects
• Developers
• BI /ETL/DW professionals
• Software testers

Now, if you are wondering about the designations, well, here are some examples –

• Software Development Engineer
• Machine Learning Engineer
• Big Data Consultant
• Big data Engineer
• Hadoop / Big Data Developer
• Hadoop Administrator
• Big Data Architect
• Data Engineer

Salary of Hadoop Professionals

Following the designation, another common concern is the salary package on offer. Well, in India and across the world, the remuneration for such expert professionals is handsome and very lucrative.

However, you should also note that your salary will depend on a few factors like –

• Educational background and specialisation
• Working experience
• The company you are joining and at which designation

Having said that, the average salary for Hadoop professionals is in the range of $110,000 to $120,000, to begin with. And, as you progress in your career and rank, it will increase accordingly.

Big Data Analytics in Various Domains

Given below are some examples of which domains have employed Big Data analysts in various roles in their industries:

• Banking
• Finance
• Communication
• Education
• Media and Entertainment
• Government
• Healthcare
• Transportation
• Energy

To sum up, Hadoop has altered how data storage and management work. It has helped data analysts find relevant information easily, store their work and seamlessly maintain the flow of data. However, even though it is a popular aspect of data analytics, it is still not mainstream, and there aren’t many who possess expertise in this matter. So, if you want to stand out in the crowd of other aspirants pursuing a career in data science, learn Hadoop online and get the necessary certifications in order.