Safeguarding Big Data Systems against possible intrusive information sabotage is , at least to me, the most significant requirement. In other words, security and confidentiality are top priority requirements.

The role of Big Data technology in the development of online data analytics tools used in scientific research and business applications

These tools include Google Analytics. However, in addition to this type of the most popular tools created by the largest group of Internet information and marketing services for specialist research, other data analytics tools obtained from the Internet are also used. These specialist studies include sentiment analysis conducted on data obtained from the Internet and collected in Big Data database systems, created and developed by online technology and marketing companies.

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Integrity constraints checking & query optimization.

Are there currently developed risk management instruments and models for obtaining, archiving, analyzing and processing data in Big Data systems?

In recent years, the field of research and business applications in the field of obtaining, archiving, analyzing and processing data in Big Data database systems has been developing strongly.

In many companies, especially in large corporations, integrated risk management systems are built and improved.

Integrated risk management systems combine risk management processes in various areas of a company, institution or other organization.

One of the areas of risk management, the importance of which in many companies is growing, is risk management in the area of ??obtaining, archiving, analyzing and processing data in Big Data database systems.

In view of the above, I am asking you: Are the risk management instruments and models for the acquisition, archiving, analysis and processing of data in Big Data systems already being developed?

Are you already familiar with examples of this type of systems with risk management risk, which concern the acquisition, archiving, analysis and processing of data in Big Data systems?

Please reply

What kind of research dominate in the analysis of data collected in Big Data database systems?

First of all, as part of the processing of information collected in the Big Data database systems, the sentiment analysis is used very frequently during analytical processes conducted for the needs of scientific research. Sentiment analysis allows you to get an answer to the question, what is, for example, recognizability, what is the awareness, opinion on a specific topic among users of specific Internet portals, websites containing comments from Internet users, and social media portals.

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Will future Big Data database systems supported by artificial intelligence be used in precise forecasting in order to verify futurological projections?

Currently, it is difficult to define this type of analytic problem. The key issue is forecasting future global problems. It is necessary to collect additional analytical data over the next years, and perhaps in the 21st century, in huge Big Data database systems supported by another generation of artificial intelligence, it will be possible to predict what may happen to the planet Earth in the future.

In view of the above, the current question is: Will future Big Data database systems supported by artificial intelligence be used in precise forecasting for the verification of futurological projections?

Please, answer, comments. I invite you to the discussion.

Will it be possible to precisely predict the future of the planet Earth in the next 1000 years with the help of the analysis of large data sets in Big Data database systems?

Currently, it is difficult to define this type of analytic problem. The key issue is forecasting future global problems. It is necessary to collect additional analytical data over the next years and perhaps in about 100 years in huge Big Data database systems supported by another generation of artificial intelligence, it will be possible to forecast what can happen to the planet Earth in the next 1000 years.

In view of the above, the current question is: Will I be able to precisely forecast in the 21st century what will be the future of planet Earth in the next 1000 years?

Please, answer, comments. I invite you to the discussion.

Good envision. What is likely the next generation of Artificail Intelligence to be in addition to current cababilities of learning, predication, analytics ?

The issues of the use of information contained in Big Data database systems for the purposes of conducting Business Intelligence analyzes are described in the publications:

https://www.researchgate.net/publication/323244120_The_Big_Data_technologies_as_an_important_factor_of_electronic_data_processing_and_the_development_of_computerized_analytical_platforms_Business_Intelligence

https://www.researchgate.net/publication/327035102_The_Technological_Solutions_Big_Data_and_the_Importance_of_Business_Analysis_According_to_the_Business_Intelligence_Formula

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Can the development of robotization, computerization, artificial intelligence and data processing in Big Data databases cause a significant rise in unemployment in the future?

These types of questions have appeared many times in every era of the technological and industrial revolution, the period of accelerating technological development. These types of questions have already appeared in the periods of increasing the scale of objectification, arming technical human labor, from when the processes of manufacturing goods in manufactories transformed into mass production. This was the case during the Industrial Revolution of the XIX century, when the invention of a steam engine significantly accelerated the development of industry and mass production. Then, the introduction of tape production in various branches of mass production in the early twentieth century. In the second half of the twentieth century, ie in the era of subsequent stages of mechanization, automation, then the computerization of the production of many mass goods, this question appears again. Through these periods of technological progress, national economies have been transforming structurally from agricultural, industrial to modern-day domination of services. At the same time, the importance of new generation factors, which include information, technology, entrepreneurship and innovation, was gradually growing. Some branches of industry were shrinking, others were growing in the whole production of goods in the economy. At the same time, new professions, professions and specializations of human work were created, related to information, IT, analytical and technological services related to the development of new fields of knowledge and technology. So the earlier fears about the lack of work for people in connection with the technical progress that took place over the last several hundred years turned out to be essentially exaggerated. However, currently the same questions reappear: Can the development of robotization and computerization cause a significant rise in unemployment in the future? If such questions arise, then we are dealing with another era of technical progress or another technological revolution. The attributes of this revolution are also increasingly added to the development of new online media, computerized computing techniques, artificial intelligence, machine learning, Big Data, etc. in the applications of such areas of knowledge and science as biotechnology, metrology, ecology, energy, communication, medicine and many other fields of life science and new tech. In connection with the above, please answer the question: Can the development of robotization, computerization and artificial intelligence cause a significant rise in unemployment in the future?

Please, answer, comments. I invite you to the discussion.

Ethical use of the Data findings and keeping everything open sourced to prevent monopolies of data collections. Since an individual can not own the data collected on him/her, it's important to ensure controls are in place to limit how the data can be exploited.

The issues of the use of information contained in Big Data database systems for the purposes of conducting Business Intelligence analyzes are described in the publications:

Article The Big Data technologies as an important factor of electron...

Article The Technological Solutions Big Data and the Importance of B...

I invite you to discussion and cooperation. Greetings

The above discussion inspired me to the following considerations:

The question of the accuracy of prognostic research carried out on the basis of an analysis of the sentiment of verifying the comments of Internet users archived in Big Data systems?

Currently, many research centers use sentiment analysis by examining the content of comments, posts and news of thousands or millions of users of social media portals and other websites. The sentiment analysis is carried out on large collections of information collected from the deliberately selected many websites and stored in Big Data database systems. This analysis is carried out periodically at specific time intervals to diagnose changes in the main trends of general social awareness, including opinions on specific topics in society. This analysis may also refer to the diagnosis of dominant political sympathies, specific political views and opinions on selected political topics. This analysis is also used to examine the public support at a given time for specific politicians, candidates in the presidential elections or parliamentary elections. If this type of sentiment analysis is carried out directly by presidential or parliamentary elections, then it can be treated as an additional research instrument of a prognostic nature. There were results obtained from this type of prognostic analyzes characterized by a high level of accuracy of prognostic research.

In view of the above, the current question is: The question of the accuracy of prognostic research carried out on the basis of an analysis of the sentiment of verifying the comments of Internet users archived in Big Data systems?

Please, answer, comments. I invite you to the discussion.

In addition, I note the interesting discussion inspired me to the following considerations:

The development of analytics and information processing in large data sets for the needs of scientific works?

Not all people conducting research use advanced information processing instruments such as data processing in the cloud, analysis of information collected from the Internet using sentiment analysis in Big Data database systems, analysis of large data sets using probabilitic, stochastic analytical models and other advanced statistics in computerized platforms such as Business Intelligence.

Currently, techniques for analyzing large data sets in Big Data database systems are developing rapidly. The costs of these analytical processes and necessary IT tools are gradually falling and can now be available to any entity with relatively low financial resources.

In view of the above, the current question is: The development of analytics and information processing in large data sets for the needs of scientific works?

Please, answer, comments. I invite you to the discussion.

What issues are important to you related to information processing in Big Data database systems?

The above question is still and probably will be valid for a long time.

Dear Colleagues and Friends from RG,

If anyone of you is interested in this subject or conducts research in the field of the above issues, I invite you to the discussion.

Dear Friends and Colleagues of RG

What are the important issues for you related to the collection and processing of large information sets in Big Data database systems?

The current technological revolution known as Industry 4.0 is motivated by the development of the following factors:

- Big Data database technologies,

- cloud computing,

- machine learning,

- Internet of Things,

- artificial intelligence.

On the basis of the development of the new technological solutions mentioned in recent years, the processes of innovatively organized analyzes of large collections of information collected in Big Data database systems dynamically develop.

In my opinion, the fastest-growing business projects are primarily those that are the subject of innovative startups developing dynamically for a minimum period of several years. Startups develop innovative business projects in such areas as: information technology, ICT, Internet, biotechnology, energy, ecology, environmental protection, medicine, agribusiness, etc. In addition, a number of innovative technologies in construction, material, process and marketing innovations have recently been created in the field of smart city, life science, cleantech, medical intelligence and others that are used by companies and corporations operating in various sectors of the national or international economy.

In addition, innovative business projects are also developed in the fields of various fields of information services, advanced data processing, business analytics and the development of teleiform technologies, which together are the pillars of a knowledge-based economy. The current technological revolution known as Industry 4.0 is motivated by the development of the following factors:

Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence. It is anticipated that in the next years in these fields of science and technology many large startups will be created, which will be developed effectively based on innovative business projects related to the topics mentioned above. On the basis of the development of the new technological solutions mentioned in recent years, the processes of innovatively organized analyzes of large information collections gathered in Big Data database systems dynamically develop.

In each of these areas, many specific design topics can be distinguished, in which business startups develop and reach the minimum level of a medium-sized company or large corporation in a situation of spectacular business success based on a well-designed business and an effectively implemented innovative business project.

Do you agree with my opinion?

I invite you to discussion and scientific cooperation

Best wishes

Dear Colleagues and Friends from RG

Some of the currently developing aspects and determinants of the applications of data processing technologies in Big Data database systems are described in the following publications. The issues of the use of information contained in Big Data database systems for the purposes of conducting Business Intelligence analyzes are described in the publications:

Article APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTEL...

Article The Big Data technologies as an important factor of electron...

Article The Technological Solutions Big Data and the Importance of B...

I invite you to discussion and cooperation.

Best wishes

In the context of the above considerations, the following question is also current:

Will the development of Big Data information collection analytics improve forecasting? Will the development of computerized business analytics of large collections of economic information collected in Big Data database systems improve the forecasting of future economic processes?

Please reply

Best wishes

The most important issue for big data collection and analysis is to make sure that the data is of highest quality which requires an expensive process of manual curation and human-facilitated check. Otherwise big data analysis follows the paradigm of garbage in - garbage out as often seen in scientific databases.

And last but not least, do not forget that any prediction from big data analysis is nothing else than statistics based on probabilities. Results may help you making decision but do not replace switching-on human brains.

Therefore, in the context of the above considerations, the following important question appears:

Can you improve machine learning processes by using advanced information processing technology?

Can the improvement of learning processes as part of learning machines be implemented through the use of computerized advanced information processing technologies?

I propose the use of various advanced information processing technologies for the purpose of improving learning processes as part of learning machines.

The development of information processing technology in the era of the current technological revolution defined by Industry 4.0 is determined by the application of new information technologies in the field of applications in technical industries.

The current technological revolution known as Industry 4.0 is motivated by the development of the following factors: Big Data database technologies, cloud computing, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies. The use of advanced information processing technology for the improvement of learning processes as part of machine learning would allow for the continuation of technical progress in this field.

Do you agree with my opinion on this matter?

In view of the above, I am asking you the following question:

Can the improvement of learning processes as part of learning machines be implemented through the use of computerized advanced information processing technologies?

Please reply

I invite you to the discussion

Thank you very much

Best wishes

Safeguarding Big Data Systems against possible intrusive information sabotage is , at least to me, the most significant requirement. In other words, security and confidentiality are top priority requirements.

My humber opinions:1. optimization issue needs to be taken into account. 2. How do we make learning process more intelligent?

Databases system