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How to Learn Hadoop for Better Data Science



Hadoop is a Java-based, open-source framework from the Apache Software Foundation. If you are into big data, image recognition, statistical analysis, machine learning, and programming, then you’ll get a lot out of learning Hadoop. 

If you want to learn more about how Hadoop training can boost your data science skills, you’re in the right place. Learn about Hadoop, what jobs require its skills, and how to master this storing and processing framework below.

What Is Hadoop?

Apache’s Hadoop is an open-source database that is quicker, bigger, and more capable than a regular database. It can store large, diverse data sets and process information faster. Hadoop has changed the game for storing data due to its parallel processing and distributed storage system.

Hadoop basically allows you to multitask your data processing. In the 90s, structured data was stored and processed on one computer. But with the rise of semi-structured data like email, or unstructured data like photo files, multiple computers were then needed. That’s no longer true with Hadoop.

Hadoop lets you more efficiently use data to make business plans, evaluate risks, and understand your customers. 

What Is Hadoop Used For?

Data scientists and industry experts use Hadoop for a variety of things. Thanks to the Hadoop Distributed File System (HDFS) and MapReduce applications, for example, you can gain valuable insights into customers.

Business

Retailers and business owners can use Hadoop to learn about their customer’s preferences and structure their business accordingly. The software helps especially with marketing plans and targeted advertisements. Data can be collected from social media, other web pages, or even more detailed Internet activity.

Financial Sector

Financial services and credit card companies also use this technology. Companies can use Hadoop data to evaluate risks, build trading algorithms, and better understand their customers. The financial sector can use this information for marketing, customer content, and creating effective business plans.

Public Sector

The use of big data can even help improve public sector operations. Statistical analysis can improve public transport, help officials to understand disease outbreaks, and stop tax fraud. In this way, Hadoop can help improve our cities and keep citizens safe. 

Learn Hadoop: Step-by-Step

massive blue data grid
Begin learning Hadoop with these simple steps.



Below you will find a Hadoop guide to help you grasp the fundamentals. Learn about the foundational knowledge required, what you will need to study, and the best training out there. 

1. Study Big Data

To fully understand what makes Hadoop an invaluable tool, you will need to grasp the concept of big data. Large data sets count as big data when they exceed a certain threshold in the four areas of volume, velocity, variety, and value. 

2. Get Trained in Programming and Operating Systems

First, learn the Java programming language. Other programming languages like Python would also be great to know. For more information on the top ten programming languages or how to learn to code for free, check these articles out.

As for operating systems, Linux and its various counterparts like Mint and Ubuntu are great for Hadoop. Knowing how to work in Windows is also helpful. 

3. Learn Hadoop Common

Next, learn HDFS, Hadoop Yarn, Hadoop Framework, Commodity Hardware, and MapReduce programming. Discover what each of these utilities can do. They can be learned in individual tutorials or together in a training course. 

4. Explore the Hadoop Ecosystem

The Hadoop ecosystem is more than the utilities mentioned above. It also includes Pig for scripting, Mahout for machine learning, Hive for SQL queries, Oozie for workflow monitoring, Zookeeper for management, and more. Learn about Hadoop’s ecosystem to fully access the potential of this platform.

5. Fill in the Gaps with Hadoop Training

Last, start Hadoop training. Enroll in online courses that will enrich your knowledge and add to your CV. Don’t worry about costs. There are plenty of free courses and tutorials. See the next section to explore some amazing online options.

The Best Hadoop Courses

a person typing code onto a laptop with multiple screens
You won’t need a massive setup to store data after you learn Hadoop.



Here are some courses to browse when you are ready to take your Hadoop knowledge a step further. You can find beginner-friendly, advanced, paid, and free courses for any time constraint and wallet size.

Udemy – Free Hadoop Starter Kit

  • Where: Online
  • Time: 3 hours 
  • Cost: Free

In this free Udemy course, you will get a fantastic introduction to Hadoop and its components like MapReduce and HDFS. For this course, you do not need to be an advanced programmer or have much prior knowledge of big data. 

Simplilearn – Big Data Certification Training Course

  • Where: Online
  • Time: Self-paced
  • Cost: Around $1,230

This Simplilearn bootcamp will teach you about both Hadoop and Spark to prepare you for the Hadoop Developer and Cloudera CCA Spark exams. To take this training, you will need a basic understanding of SQL and Java, but Simplilearn has an option to learn these as well.

LinkedIn Learning – Learning Hadoop

  • Where: Online
  • Time: 4 hours 
  • Cost: $178.20

Gain a LinkedIn certificate when completing this Hadoop course. Students will learn about everything from the components to the ecosystem of Hadoop. The course teaches how to use Pig, Zookeeper, Spark, JVMs, cloud services, Hive, machine learning, and much more.

Hewlett Packard Enterprise – Intro To Big Data

  • Where: Online
  • Time: 2 lessons
  • Cost: Free

This free Hewlett Packard course is geared towards students, business managers, developers, administrators, and data analysts. You will learn how to use big data models and their different roles.

Hewlett Packard Enterprise – Apache Hadoop Essentials

  • Where: Online
  • Time: 3 lessons
  • Cost: Free

Learn everything you need to know about HDFS and MapReduce in three lessons. Discover ecosystem tools such as Spark, Drill, and Apache Flume and gain valuable insights into data warehouse optimization with this course.

CognitiveClass.AI – Big Data Fundamentals

  • Where: Online
  • Time: 12 hours (3 courses)
  • Cost: Free

This is another wonderful free program covering big data, Hadoop, and Spark. After completing the course, you will earn an IBM badge.

CognitiveClass.AI – Applied Data Science with Python

  • Where: Online
  • Time: 9 hours (3 courses)
  • Cost: Free

Learn how to code in Python for data science with this free course from Cognitive Class. You will learn data visualization with Python with packages like Bokeh, Scikit-learn, and Matplotlib. This is a great resource to round out your knowledge of big data and add a Python badge to your resume.

DeZyre – Hadoop & MapReduce Tutorials

  • Where: Online
  • Time: Varies
  • Cost: Free

The DeZyre Project Pro blog tutorial is for Hadoop developers who want to build their first WordCount application. This is a great resource for learning MapReduce and creating your own application.

IBM – Analyze Data Faster Using Spark & Cloud Object Storage

  • Where: Online
  • Time: 1 hour
  • Cost: Free

This tutorial is for those who want to become data scientists and learn Spark rather than Hadoop. You will learn to use the open-source Stocator, which is similar to Hadoop, to query data in IBM Cloud Object Storage. 

Udacity – Data Scientist Nanodegree

  • Where: Online
  • Time: 4 months
  • Cost: Varies

This Udacity Nanodegree is ideal for those wanting an in-depth education in data science. For this program, you will need to be familiar with Python, SQL, statistics, and machine learning concepts. You will take part in hands-on data science projects while generating a great foundation for Hadoop.

Microsoft Virtual Academy – Certifications

  • Where: Online
  • Time: 3 months
  • Cost: $178.20

Microsoft has plenty of certification courses on data analysis and cloud services. These modules are great for those who want to expand their understanding of data and work with Microsoft products.

Is Learning Hadoop Right for You?

Hadoop is right for you if you don’t want to be limited in storing your data sets, need fast processing power, and require efficient resource management. Hadoop can enable insights into data that can be missed with other frameworks.

It allows you to scale faster, limit hardware failures through fault tolerance, and quickly connect the dots in your data. Learn Hadoop and read between the lines to see what people are thinking about your business.

 

Hadoop is just one of the many things you can learn to start a successful career in tech. For more advice on coding and the best tech jobs, be sure to explore our blog.

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