Big Data Tutorial
This Big Data Tutorial will give you a deeper understanding of big data. See Big Data Courses for more information. Are the topics covered in this big data tutorial less than
?
• History of Big Data
• Big Data Driver
• What exactly is big data?
• Big Data Features
• Different Types of Big Data
• Some Examples of Big Data
• Big Data Applications
• Big Data Challenges
Start this big data tutorial with a short, insightful story ..
Big Data Story In the early days of
, there was a time when people rode from village to village. But over time, the village became a town and the city expanded. The distance from one city to the next has also increased. As with luggage, moving between cities is difficult. To solve this problem, one of the brightest minds suggested that horses be cared for and fed more often. Given this suggestion, don't you think it's a bad thing to be able to turn a horse into an elephant? I do not know. Another wise man said that instead of one horse pulling a cart, four horses need to pull the same cart. What do you think of this idea? I think it's a great solution. Today, people can travel long distances in less time and carry more luggage.
The same idea applies to big data. According to big data, the amount of data was small and the processing time was within the allowable range, so it was good to be able to store the data on the server. In today's era of technology, data grows so fast that people often rely on it.
The rate of data growth makes it difficult to store data on any server.
In this blog's big data tutorial, let's explore the sources of big data that traditional systems couldn't process and store.
Big Data Driver
The amount of data available on Earth is growing rapidly for many reasons. Various sources and our daily activities produce large amounts of information. Thanks to the internet, the whole world is online, leaving a digital footprint for everything we do. As smart objects come online and the amount of data grows, their speed accelerates. The main sources of big data are social media websites, sensor networks, digital images and videos, mobile phone transactions, purchase records, weblogs, health records, military archive security, trade, and complex scientific research. In summary, these data sources contain trillions of pieces of information. By 2020, the amount of data will reach 40 zettabytes. This is all the sand grains on earth multiplied by 75.
In this course, you will learn about big data and its concepts. Big data Hadoop certification.
What exactly is big data?
Big data is a term that refers to a collection of large and complex datasets. It is difficult to manage and store using available database management tools and traditional data processing software. The challenges are in data collection, maintenance, storage, co-transmission, analysis and display.
Examine the Big Data Characteristics of Curriculum
The five characteristics that form the basis of big data are volume speed, sort value, and accuracy.
Volume
1. Volume refers to the "amount of data" that is increasing rapidly every day. The amount of data created by their interactions on computers, people, and social media is enormous. Researchers estimate that up to 40 zettabytes (40,000 exabytes) will be created in 2020, a 300-fold increase from 2005. Velocity
2. Velocity refers to the speed at which various sources create data daily. The stream of data is huge and constant. Facebook has 1.03 billion active users per day (Facebook DAU), which is currently up 22% year-over-year on mobile. It shows how fast the number of Facebook users on social media is growing and how fast data is being generated each day. If you can process pace and data, you can gain insights and take action based on real-time data.
Good information.
The Era of Technology ! Good
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