What is the Big Data Technology?
Big data is a term used for data sets that are so massively large or advanced that it cannot be dealt with ancient data processing applications. It generates value from very large data sets that cannot be analyzed with traditional computing techniques. The quantity of computer data generated on planet earth is growing exponentially for several reasons. The challenges include capture, storage, analysis, data curation, search, transfer, visualization, querying, updating and privacy of information. The term Big data is often the reference of the use of prophetical analytics, user behavior analytics, and certain other data analytic methods that extract value from data.
Analysis of Big data sets can be used to find a new correlation to business trends, forestall diseases, tracing combat crime and so on. Relational database management systems and statistics of desktop and visualization packages frequently face difficulties in handling Big data. So what is required now? “Large parallel software running on tens, hundreds, or even thousands of servers.” Big data varies and changes depending on the capabilities of the users and their tools. Therefore, it is these expanding capabilities which make Big data a moving target. For a start, retailers are building vast databases of recorded customer activity. Organizations operating in supplying, financial services, healthcare and many other alternative sectors are also capturing more data, and public social media is creating vast quantities of digital material.
As computer vision recognition improves, it is additionally starting to become attainable for computers to extract meaningful information from still pictures and videos. As a lot of sensible objects go online, Big data is also being generated by the expanding internet of things, and finally, several areas of scientific advancements are initiating to generate and rely on the huge amount of data that were until recently virtually unthinkable. “For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options whereas, for others, tens or hundreds of terabytes may be taken before data size becomes a significant matter.”
Big Data Characteristics
Big data is often characterized using the five V’s of volume, velocity, variety, variability and veracity.
Here, volume poses both the greatest challenge and the maximum opportunity as Big data has the capability to help many organizations to understand people better and to allocate resources more efficiently. However, traditional computing solutions like relational databases are not scalable to handle data of this magnitude.
Big data velocity also raises the number of issues with the rate at which data is flowing into many organizations, now going beyond the capacity of their IT systems. Also, users increasingly demand data which is streamed to them in real time and delivering this can prove quite a challenge.
The data types to be processed is becoming increasingly diverse. The days are gone when data centers only had to deal with documents, monetary or financial transactions, records of stock and personnel files. These days photographs, audio, video, 3D models, complex simulations and location data are being piled into many a corporate data silo. There are many such big data sources which are unstructured and thus, they are not easy to categorize and let the unit process with traditional computing techniques.
The processes to handle and manage Big data can be hampered by the lack of continuity and inconsistency of the data sets.
It is possible and probable that the quality of captured data may vary greatly which would affect the accurate analysis.
Big Data reveals all human society secrets
Is it possible that by analyzing Big data, one can explore human-interest dynamics? The world wants to see if it’s possible to identify patterns and structures in what motivates people to show interest in certain things and the reasons behind losing their interests.
Today, Big data creates a platform for understanding, analyzing and exploring the dynamics of why people often change their minds about certain things. Learning and being knowledgeable of what attracts and holds peoples’ attention is a key to better understanding and predicting human behavior, revealing their secrets. It provides information that can be worth to business science and economics, social sciences, health care and even national defense. These data sets are so giant that they cannot give researchers a credible and probable indication of about what percentage of peoples’ decision-making follows a particular pattern, or whether it is mostly random and unpredictable. In this way, Big data reveals all secrets of the human society by examining and analyzing how millions of people make decisions online or on smartphones about making use of the services of the companies. Correspondingly, researchers expect to understand how a broad variety of factors attracts or fails to attract an individual’s interest.
Big Data dismantles human social hierarchy power
The way how individuals and groups are arranged in a relatively straight ladder is termed as the Social Hierarchy. It is evident in many species of animals that they are socially higher than the rest; human beings are the most complex of them. Big data seems to have dismantled this social hierarchy by transferring the power from government to the super intelligent AI system.
2% People will control the world who are behind Big Data and AI
As per the dictionary, Artificial Intelligence is the capability of the machine to imitate intelligent human behavior. In General, it is the branch of science concerned with developing computing systems which behave like human’s brain.
The world has a population of 7 billion people, not more than about two percent of the population understands or has the knowledge of Big Data and Artificial Intelligence. Yes, only two in a hundred, at an approximate it comes to 140 million. They can analyze large data sets and deal with them using advanced computing techniques. They have the knowledge of using Big data regarding capture, storage, analysis, data curation, search, transfer, visualization, querying, updating and privacy of information. These people perceive that Big data often refers to the use of prophetical analytics, user behavior analytics, and certain other data analytic methods that extract value from data. These 140 million can apprehend and analyze Big data sets which can be used to find the new correlation to business trends, forestall diseases, tracing combat crime and so on. Yes, they have the capability of controlling the entire world.
How Big Data and deep learning helps to develop advanced technologies that can help in the medical field?
One of the biologists and genetics entrepreneurs, Linda Avey believes that sensors and test make it possible to collect data about our bodies that has until now been undiscovered. This has now been paired with advances in computer technology that allow us to store and process large amounts of data which will have a transformative effect on healthcare. Big data has the potential to conquer human diseases and help individuals live longer. It’s in the process of developing advanced technologies such as body organ rebirth, synthetic skin, cancer pills, nano-robotics and so on.
Scientists are using all the Big data collected on the patients to improve our health. The information this data provides is improving scientists’ understanding of the genetic basis of many human diseases. And large-scale projects such as the Genomes Project are beginning to provide some families a diagnosis for their children’s mystery conditions. In the United Kingdom, too many cancers are diagnosed or caught at a late stage when the disease is often advanced, complex and untreatable. Otherwise, if those patients have been to their GP having symptoms that have not been picked up, therefore that information can be used to diagnose other patients before. The story is similar to that of the cardiovascular disease which is regarded as the world’s major killers and on the other hand, it’s ovarian cancer that’s very fatally difficult to detect. Data and computers can be used to look at all the symptoms and identify markers of these diseases. Now we’re ready with an improved set of opportunities and ideas to make advances across the whole of health and biomedicine.