You probably already know what big data is. However, you may be less familiar with some features. big data example Effects on daily life described in this article.or its origin is Bubonic plague, the first time statistical science has helped a complex problem.
In 1663 John Grant Statistical system applied to mortality and the evolution of the plague in England.will come then primitive calculator Like an 1884 excavator
In 2001, Gartner analyst Doug Laney stated: The 3 Vs of big datai.e. Dataset requirements Effective for large-scale analysis. Over time, 3 more V’s will be added and the requirements will be:
- Volume
- variety
- speed
- truth
- worth
- variability
One of the first open source systems for pervasive data analysis, Apache Hadoop was developed in 2005. But at the end of his decade, a giant leap came. Data storage service in the cloud And as early as 2012, the Obama administration’s big data research and development initiative in the United States.
10 examples of real-world big data
Today, big data is a tool that is used daily in many fields, conquering new and different territories. actual, The big data market is expected to be worth over $420 billion These are just a few examples.
Self-Driving Cars: Big Data at the Wheel
The challenges posed by autonomous driving have dampened the enthusiastic predictions of recent years. Like the flying car predicted in Back to the Future, it’s taking a little longer than expected to arrive. What is certain is that big data will play a key role in this transition.
All the information generated by the sensors in the autonomous vehicle and the information received from satellites and sensors in the environment 50-70 terabytes of data per 8 hours of operationIt is enough to think that 1 terabyte can store 250 HD movies Understand the size of the processed data.
Big data should be used to structure all this data from cameras and other sensors. In addition to daily driving, Evaluation of driving habits and city planningIn addition to Tesla, companies such as Waymo, GM Cruise and Argo AI are investing billions in the technology.
2. Civil Aviation: An Example of Big Data Beyond Automation
Aviation is another transportation sector where big data is a key ally. Although the complexity of air traffic is not as complicated as road traffic, the new generation of aircraft 5-7 terabytes of information per flight.
Within a few years, aviation could become virtually autonomous, but there are other examples of big data in various fields today.
- air traffic and the environment. Big data can be used to optimize air traffic and reduce pollution and fuel consumption. Poor traffic management is estimated to waste 7.8 million tons of fuel each year.
- Aircraft maintenance. Predict parts wear and fleet renewal schedules and manage spare parts inventory.
3. Agriculture for an overpopulated world
While not one of the pioneering sectors of big data, agriculture is beginning to adopt the technology to meet the challenges of production and climate change.
This revolution satellite technology Such as Sentinel and ground sensors such as weather stations and soil sensors. This is evidenced by the fact that manufacturers such as John Deere, traditionally dedicated to building agricultural machinery, began developing and implementing data capture devices.
4. Big data for environmental protection
Ecological challenges characterize the 21st century. If driving a vehicle is highly complex, the ecosystem balance is orders of magnitude greater than that. This is why ecosystem research is one of the clearest real-world examples of big data.
Today, big data makes it possible to study the evolution of the Amazon rainforest, Arctic ice masses, or farmland management in real time. Other areas where big data is set to play an important role are: Sustainability of animal movements or industrial practicesLarge multinational companies are also beginning to use big data to determine the carbon footprint of their manufacturing and transportation processes.
5. Climate Change: The Most Complex Dataset
Climate change can be seen as the biggest challenge for big data. In fact, the butterfly effect theory uses the example of storms caused by the flapping of insect wings. These are infinite factors. The potential of this technology to detect trends in global warming is underscored by the United Nations Data for Climate Action initiative, which seeks to integrate datasets for easier analysis.
6. Toward energy efficiency with big data
In the energy sector, where more and more energy sources are involved, such as wind and solar power, production and consumption must be closely monitored. The advent of smart meters that can measure consumption in real time is another example of big data, as millions of readings need to be processed per day. Renewable energy poses additional challenges as production is erratic and less predictable.
therefore, The ability to forecast demand and allocate resources is essential for managing the energy mixThe emergence of smart homes and IoT, where every device provides information on consumption, Another example of real-world big data.
7. Ally of e-learning
The role of big data is becoming more important as education begins to move out of the classroom and into all kinds of devices and realities. In fact, the term BDE (Big Data Education) has already been coined. One of the most obvious examples of its use is Monitor student performance and study habitsBut that’s not all.
As e-learning becomes more prevalent, there is a lot of data to process, from student attention to automated placement tests to estimating results. It will also be possible to identify the risk of dropping out of school based on profiles and outcomes. It certainly doesn’t replace teachers, but it relieves them of a lot of work.
8. Financial market dynamics
Big data has become a fundamental tool in the financial industry. Every day, risk analysts, banks or credit providers use this tool to Evaluate market trends and anticipate events, especially in a stock market environment. It is also a tool for detecting tax fraud. The insurance sector, which has a close relationship with financial markets, Another example of big datathis time applied to policy and risk profile calculations.
9. Healthcare Revolution
Genome sequencing and associated gene therapy are enabling therapeutics unprecedented in the medical world. Also, the amount of available data has doubled exponentially, as the goal is to obtain genetic information about individuals. Similarly, cancer disease research is another area where increasingly complex data sets are being generated.
So it should come as no surprise. Some of the most prominent examples of big data applied to medicine relate to genetic material and oncologyThus, the UK’s 100,000 Genomes Project is using big data to understand the genetic causes behind the most common tumors. Biobank is another project to collect large amounts of biological, sociological and demographic data from 500,000 UK citizens for use in the national health system.
10. Commercial, Mature Industries
Along with search, e-commerce was one of the first fields to have large digital databases on the Internet. Therefore, multinational companies such as Amazon quickly took advantage of information about transactions made on his website for their own company and pitched it to third parties for advertising purposes.
Of course, it was also used to fine-tune our own marketing campaigns and better understand our customer profiles. Today, big data is applied across the value chain, from production and transportation to physical store shopping.
In short like these 10 examples of big data Combined with artificial intelligence and machine learning analytics systems, it is a ubiquitous technology destined to shape our future.
You can also better understand our past as you can read in this article.
sauce: What Is, Built In, Inside Big Data, ZDNet, Thales Group, Nature, Tandfonline, Forbes, https://www.nature.com/articles/s41437-020-0303-2
