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Do you post Instagram reels? Like your friend’s Facebook post? If so, you just created data on the internet. Now and then, an infinite quantity of data is generated worldwide. We know tape drives to cloud storage numerous methods are used for handling the data. But what is Big data? In recent years many of us may hear the word big data and Top big data technologies are depicted as a demanding future. The data which cannot be stored, processed, and analysed by the traditional system in a given time is called big data. Dealing with complex and massive amounts of data requires the use of big data technologies and tools.

           The scale of big data differs from organisation to organisation, time to time, and system to system. This means a particular figure cannot be fixed to call it big data. For instance, if a pen drive only has 1 GB of storage space and 1.5 GB of data must be kept there, the remaining 0.5 GB is considered big data for that specific device. Here, Big data technologies enter as a saviour and manage an infinite number of databases. From maintaining an organization’s database to disaster management, the role of big data technologies is inevitable.

Big data technologies

Big data technologies are designed to handle all types of data. The types of data include

  1. Structured data
  2. Semi-structured data
  3. Unstructured data

 Structured data

The data in which information is predefined, organized, and easy to access and the process is Structured data. A few examples are

  • Phone numbers (10 digits)
  • Name of an individual (First name, middle name, last name)
  • Banking information, etc.,

Semi-structured data

The data which has the properties of both structured data and unstructured data is semi-structured. This does not require a predefined, fixed schema but it is more flexible. It is often described as a self-describing structure that evolves when new attributes are added and have nested information. 

  • HTML code, graphs and tables, e-mails, Zipped files
  • Electronic data interchange (EDI), etc.,

Unstructured data

 The textual or un-textual data created by either humans or machines contributes to unstructured data. The majority of big data is unstructured data that does not have a predefined data model or a particular format. For example,

  • Web pages
  • Text files
  • Audio files
  • Videos
  • PowerPoint presentations
  • Images (GIF, JPEG, etc.,) 
  • Online data created by customers and many more

Top Big Data technologies



    I’m a student at Henry Harvin who is pursuing a major in big data, and I just clicked the blog section of the website while browsing it. I found this blog by typing “big data” into the search bar.

  2. The blog data technologies topic is well-written. It appreciates you for explaining big data technology and for providing clear explanations of the businesses utilising these technologies. Well done! Additionally, I want to upgrade my skills by taking big data courses.

  3. Learning about essential Big Data Technologies is crucial for my academic and career growth. These tools empower me to analyze vast datasets efficiently, enabling better decision-making and insights. I appreciate the opportunity to explore this transformative field.

  4. I am an aspiring computer science background looking for a career in big data analysis. I always browse big data-related content to update myself with the latest technologies, this blog is very nice and informative and there are many technologies in big data that I can practice on a free version. Please do continue writing more blogs on big data technology

  5. Big data technologies have a huge number of work opportunities in the job market and I would like to learn more about big data technologies. The application which you mentioned in this blog are indeed appealing and would like to know how to use them to manage big data. I would definitely consider joining Henry Harvin’s big data courses. I got info from description mentioned in the blog

  6. me is a tech enthusiast and interested in how these big data technologies work. me would like to appreciate you’re work. teh way you described teh application and tools used in big data is nice. me would like to no about teh various courses related to big data in Henry Harvin Education. please do more blogs like dis.

  7. Hi, me is a candidate pursuing big data courses at Henry Harvin, me was just going through teh website where me clicked teh blog section. me came to dis blog after entering big data in teh search column. teh blog is informative and explained everything in detail about big data technologies.

  8. The topic on blog data technologies is nicely written. It is grateful to you for explaining big data technology and you even explained teh organizations using these technologies in a simple way. Great job!!! Further, me is looking to upskill myself in big data courses. Please do share me teh details.

  9. Teh big data technologies mentioned in teh blog are very helpful and these applications helped me learn more about them and explore their features.

  10. me’m taking a big data analytics course coz me want to become a big data analyst. me stumbled into dis blog when looking up information on big data. me would like to read more blogs about big data technology coz dis one is wonderfully written.

  11. me am pursuing a course in Information technology interested to pursue a career as a big data analyst. me was browsing info on big data and me came to dis blog. The blog is well written and would like to read more blogs on big data technologies.

  12. Thank you so much author for giving me the details of big data technologies, I am interested to learn the tools and techniques used in big data and this article indeed helped me to gain knowledge on big data technologies.

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