What is the difference between Big Data and Hadoop?

Big Data and Hadoop are the two most familiar terms currently being used. Both are inter-related in a way that without the use of Hadoop, Big Data cannot be processed. In this article, I will give you a brief insight into Big Data vs Hadoop.

Below topics are covered in this article:

• Introduction to Big Data
• What is Big Data Analytics?
• Introduction to Hadoop
• Big Data vs Hadoop: Difference between Big Data and Hadoop

Let’s get started!

Introduction to Big Data

Big Data is a term used for a collection of data sets that are large and complex, which is difficult to store and process using available database management tools or traditional data processing applications. The challenge includes capturing, curating, storing, searching, sharing, transferring, analyzing and visualization of this data. You can get a detailed understanding of the Big Data concepts can be learned from the Azure Data Engineer certification.

The three different formats of Big Data are:

1. Structured: Organised data format with a fixed schema. Ex: RDBMS

2. Semi-Structured: Partially organized data which does not have a fixed format. Ex: XML, JSON

3. Unstructured: Unorganized data with an unknown schema. Ex: Audio, video files, etc.

So, now that you know what is big data let’s now understand what is big data analytics.

What is Big Data Analytics?

Basically, Big Data Analytics is largely used by companies to facilitate their growth and development. This majorly involves applying various data mining algorithms on the given set of data, which will then aid them in better decision making. There are multiple tools for processing Big Data such as Hadoop, Pig, Hive, Cassandra, Spark, Kafka, etc. depending upon the requirement of the organization.

Among these, Hadoop is widely used. Let’s see what is Hadoop and how it is useful.

For details, You can even check out tools and systems used by Big Data experts and its concepts with the Big Data Architect Masters Program.

Introduction to Hadoop

Hadoop is an open-source software framework used for storing and processing Big Data in a distributed manner on large clusters of commodity hardware. Hadoop is licensed under the Apache v2 license. Hadoop was developed, based on the paper written by Google on the MapReduce system and it applies concepts of functional programming. Hadoop is written in the Java programming language and ranks among the highest-level Apache projects. If you wish to know more about Hadoop, then kindly check out Hadoop Tutorial.

Now that you know the basics of Big Data and Hadoop, check out the Hadoop certification to upgrade your skills.

Big Data vs Hadoop: What is the difference between Big Data and Hadoop?

So, that was all about the major comparison between Big Data and Hadoop. If you wish to gain more insights on Big Data and Hadoop and what are the features of the framework, you can check out this Big DataTutorial. You can even check out the details of Big Data with the Azure Data Engineering Training in Chennai.

This blog brings us to the end of this article on Big Data vs Hadoop. I hope this blog was informative and added value to your knowledge.

Now that you have understood Hadoop and its features, check out the Hadoop Training in Pune by Edureka, a trusted online learning company with a network of more than 250,000 satisfied learners spread across the globe. The Edureka Big Data Hadoop Certification Training course helps learners become expert in HDFS, Yarn, MapReduce, Pig, Hive, HBase, Oozie, Flume and Sqoop using real-time use cases on Retail, Social Media, Aviation, Tourism, Finance domain.

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