Big-Data | Everything you need to know about.

Big-Data | Everything you need to know about.

Definition of Big-Data.

Big-data refers to the large, diverse sets of information that grow at ever-increasing rates. It encompasses the volume of information, the velocity or speed at which it is created and collected, and the variety or scope of the data points being covered. it often comes to form multiple sources in multiple formats.

History

Before to start and explore. Let’s take a look way back, when and why big-data is introduced.

Data has been an essential part of human evolution for thousands of years. Through thorough observation and understanding, We process the data to either complicate or simplify our lives. As our brains evolved over the centuries, The capacity to assimilate large amounts of data became an integral part of our existence. Today with our advanced technology. Machines have become capable of acquiring and processing such large amounts of data.

Let’s see how big-data managed to transform our lives. Big-data is the term used to define large amounts of data. That can be processed to reveal patterns, Trends, and associations especially relating to human behavior and interaction.

The term Big Data was coined by Roger Mougalas back in 2005. However, the application of big data and the quest to understand the available data is something that has been in existence for a long time. As a matter of fact, some of the earliest records of the application of data to analyse and control business activities date as far back as 7,000 years.

This was with the introduction of accounting in Mesopotamia for the recording of crop growth and herding. The principles continued to grow and improve and John Graunt in 1663 recorded and analysed information on the rate of mortality in London.

What are Big-Data Technology and its concept?

There are 2.5 quintillion bytes of data created each day at our current pace, but that pace is only accelerating with the growth of the Internet of Things (IoT). Over the last two years alone 90 percent of the data in the world was generated.

This data is nothing but what we search in browsers, what we see on OOT platforms, when we book cabs and order food online, etc.

The big-data technology simply run in this sequence :-

  • Gather the data.
  • Process the data.
  • Compute and analysing the data.
  • See the result and Take the decision.

Big-data is classified into three types

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

Structured data is the data that adheres to a pre-defined data model and is therefore straightforward to analyse. Structured data conforms to a tabular format with relationship between the different rows and columns

Semi-structured data is a form of structured data that does not obey the tabular structure of data models associated with relational databases or other forms of data tables, but nonetheless contains tags or other markers to separate semantic elements and enforce hierarchies of records and fields within the data

Unstructured data is information that either does not have a pre-defined data model or is not organised in a pre-defined manner. Unstructured information is typically text-heavy, but may contain data such as dates, numbers, and facts as well.

Machine learning is initially used to process structured and semi structured data.

Deep-learning greatly helps to process and make sense out of unstructured data.

The Data is processed using Frameworks like hadoop, Apache spark, Casandra, Sqoop, Flume, Storm, Talend and mangoDB.

How Big-Data Processed?

The Data is processed using Frameworks like hadoop, Apache spark, Casandra, Sqoop, Flume, Storm, Talend and mangoDB.

And how this Framework works, its mechanism?

Let us took hadoop as a example, to understanding the working mechanism of the framework.

In hadoop, hadoop uses a distributed file system called as hadoop distributed file system. If you have a huge file you file broken down into smaller chunks and store into various machines. when you break the file you also makes copies of it. which kills at different node. which means if one machine fails. Your data is safe on another.

Map reduce technique is used to process big data. Map reduce technique actually divide a lengthy task A, into various smaller task. So instead of one machine, each machine take the different task and complete it in the parallel fashion and assemble the result at the end.

Why is Big Data important and its applications?

Today’s Era is an era of internet and technology, daily hexabytes of data is generated via mobile phones, computers and the virtual AI assistant.

Big data helps in processing the data for company, Organisation or any body to understand the trends and patterns and take decisions accordingly. It makes administration body to develop good and cost efficient and more accurate plans.

Applications of Big Data.

The application of the big data can be seen in various fields such as government sector, healthcare, education, Iot ,etc.

Big data has proven useful for larger business and organisations. they just sort the data, understand the pattern and take decisions accordingly. Even many countries uses Big data for making and designing policies for welfare of the citizens.

Example

  • The many countries various political parties has their cyber teams whose specific task is to analyse the demographics of different locations and also the voter base of that particular area. They analyse the data and check in which part of the country they have a loose hold, and accordingly they change their strategies in different areas. They change the candidates in the areas where old candidates have faught elections for many terms and fail to win. In areas where they have loose hold they do strong campaigning and at strong areas they don’t put much effort and money as a result this proved as a cost efficient and strong strategy which helps them in winning the elections.
  • In healthcare sector it is proven very useful. With help of big data professional, hospitals can analyse the data forms filled by the patients which they filled years ago and this help them in which disease they’ve dealed earlier which medicines the took early. and the data is accurate and trustworthy. This helps in fast disease detection, better treatment and reduced cost and it also saves time.
  • Marketing platforms also use Big data to analyse the data regarding country, place and which area gives the most positive response. Which area or which age group of people returns or not collect the item. This also helps them in inventory management. This helps them in marketing and drive better sales.
  • Sports Big data can be used to improve training and understanding competitors. It is also possible to predict winners in a match using big data analytics. Future performance of players could be predicted as well. Thus, players’ value and salary is determined by data collected throughout the season .

Which companies are focusing on big data?

Well to sum this up in pretty much every Big company which are driving huge amounts of data per day through users uses big data. Almost every big name in the market uses big data to reveal the trends and fashion which helps them design new products and features for the users to give better user experience and drive more traffic and sales. Some of the big names are Netflix, Amazon, eBay, EAsports, etc.

Conclusion.

Big data will be more and more helpful in upcoming days. This technology is one of the technology which never goes off trend, Young students and Techies who are willing to get a high paid job must learn Big data. In the above article we’ve given you a basic knowledge about big data, its concept and applications, day by day generating of data is just enhancing. Big data can be proven as mould for shaping the future.

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