Status and future of Big Data. Part 3.

1970: the emergence of the concept of big data

The concept of "big data" arose in the time of mainframes and related scientific computer calculations. Knowledge-intensive computing has always been difficult and usually linked with the need to process big amounts of information.

2008: The appearance of the term "Big Data"

It is one of the few names that have a very reliable date of the birth - September 3, 2008, when a special issue of the oldest British scientific journal Nature was published, dedicated to finding the answer to the question “How can technologies that open up the possibility of working with big amounts of data influence future science?” The special issue summed up the previous discussions about the role of data in science in general and in electronic science (e-science) in particular. Along with the increase in processing power and the development of storage technologies, the possibilities of analyzing big data are gradually becoming available to small and medium-sized businesses and cease to be exclusively the prerogative of large companies and research centers. This contributes to the development of the cloud computing model.

In 2012 participants in the project "Internet and American Life" Pew Research Center's and "Imagining the Internet" center at the University of Elon asked the players of the digital field to evaluate two scenarios for the development of events by 2020.

53% of respondents agreed with the following forecast:

Big Data 2020 - thanks to many changes, including the creation of the "Internet of Things", by 2020 human and machine analysis of large amounts of data will improve the quality of public, political and economic research. The development of the phenomenon called "Big Data" will create the possibility of the emergence of "science casting" (broadcast events in real time), the development of "deductive software", analyzing the data structure in order to predict possible results, and creating algorithms for advanced correlations that give a new understanding of the world. In general, the presence of Big Data is a benefit for society.

39% agreed with the second statement:

Big Data 2020 - thanks to many changes, including the creation of the "Internet of things", by 2020 human and machine analysis of large amounts of data will create more problems than it will solve. Having a big amount of data will give a false confidence in our ability to predict the future, which will lead many people to serious and painful mistakes. Moreover, power-endowed people and institutions will use the analysis of Big Data to achieve their selfish goals, manipulate research results to justify their actions. The Big Data is also harmful, because it serves the interests of the majority (sometimes not quite accurately), belittling the importance of the minority and ignoring important outsiders. In general, the arrival of the Big Data is a disadvantage for the society.

Respondents could not choose both scenarios. A significant number of participants emphasize that, although they chose either a positive or a negative scenario, the real situation in 2020 will combine the features of both.

2015: Gartner excluded "Big Data" from popular trends

October 6, 2015, it became known about the exclusion from the Gartner report "Hype Cycle for Emerging Technologies 2015" information about big data. Researchers have explained this by the blurring of the term - the technologies included in the concept of "big data" have become the daily reality of business. The company explained its decision by the fact that the concept of "big data" includes a large number of technologies that are actively used in enterprises, they are partly related to other popular areas and trends and have become a daily working tool.

 Gartner "Hype Cycle for Emerging Technologies 2015"

The topic of big data has not disappeared, but has been transformed into many different scenarios:

Examples include precision farming, systems for countering fraud, systems in medicine, which allow diagnosing and treating patients at a qualitatively new level.

One of the main trends now is the Internet of things, which allows to connect machines with each other (machine-to-machine).

In May 2015, Andrew White, vice president of research at Gartner, reflected in his blog: "The Internet of Things will overshadow the big data, as too focused technology, it can generate several more effective solutions and tools, but it will be the Internet of things that will become the platform of the future that will increase our productivity in the long term."

Similar ideas were earlier - according to the results of the Gartner report for 2014, published Forbes columnist Gil Press: "We live in an era when it is important not only to be able to accumulate information, but to extract business benefits from it. The first were industry, which directly work with the consumer: telecommunications and banking, retail".

The reality of using big data, according to the Cisco Connected World Technology Report, is that most companies collect, record and analyze data. Nevertheless, the report says, many companies in connection with Big Data face a number of complex business and information technology problems.

Companies collect and use data of a wide variety of types, both structured and unstructured. Here are the sources from which the Cisco Connected World Technology Report data:

• 74% collect current data.

• 55% collect historical data.

• 48% take data from monitors and sensors.

• 40% use the data in real time, and then erase them. Most often, real-time data are used in India (62%), USA (60%) and Argentina (58%).

EMC: Big Data forecast and real-time analytics will be combined

In the nearest future we will get acquainted with a new chapter in the history of development of "big data" analytics as the two-level processing model develops. The first level will be a "traditional" Big Data analysis, where big data sets are not analyzed in real time. The new, second level will provide the ability to analyze relatively large volumes of data in real time, mainly through in-memory analytics. In this new phase of Big Data development, technologies such as DSSD, Apache Spark and GemFire ​​will be as important as Hadoop. The second level will offer us at the same time new and habitual ways of using "data lakes" - for "analytics on the fly" with the aim of influencing events, while they occur. This opens up new business opportunities

You can find more article here: http://haneenalansari.blogspot.com/2017/04/what-is-future-of-digital-marketing.html