Monthly Archives: July, 2018

Revising Fundamental Concepts in Big Data Hadoop

Revising-Fundamental-Concepts-in-Big-Data-Hadoop

We are living in a data-driven world. Our daily activities, like taking a ride in an Uber, surfing the net, social media interactions, gaming, etc. all contribute to data pools. Data is a valuable asset for businesses and companies are going the extra mile to have a robust team of big data experts.

The first step in the journey to be a specialist in any field is to familiarize yourself with the basics. So, let’s begin by understanding the different kinds of data that exist in the world.

Different forms of Data:

Structured data- This data can be organized in the form of tables, rows and columns. They can be easily accessed and operated. Examples of structured data are spreadsheets and the data stored in relational databases. Only 10% of the total data is structured.

Semi-structured data- This is basically structured data that is not organized. It is found on the web and some examples are- JSON (JavaScript Object Notation) files, .csv files, BibTex files and other markup languages. Owing to their disordered nature, it requires special tools to work with semi-structured data. Software frameworks like Apache Hadoop are used to operate semi-structured data.

Unstructured data- This data is neither structured nor organized. Operating unstructured data is quite difficult and requires advanced tools to access, sort and make sense out of this data. Examples are images, pdf files, video, streaming data, web content, email, graphics, etc.

The three ‘V’s of big data:

Volume- It denotes the total amount of data that is generated and stored. The units of measurement include gigabytes, terabytes and petabytes.

Variety- This denotes the different forms of data, namely structured, semi-structured and unstructured data.

Velocity- This is used for measuring the speed at which data is generated and processed.

Handling big data:

Hadoop is the best choice for dealing with complex data sets. It improves saleability of big data and enables users to play with data! Be it logs, json, xml or any other form of data- trust Hadoop to manage it.

It is equipped with a centralized processing system and an advanced tree structure for managing files. It allows parallel processing of large volumes of data.

To know more about this amazing technology, click here: https://www.dexlabanalytics.com/blog/revising-the-basics-of-big-data-hadoop

Big data aspirants out there- DexLab Analytics has some great news for you. We are offering flat 10% discount on our big data Hadoop courses in Gurgaon. So, enroll for training in big data Hadoop and land the hottest data job in town!

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