2 thoughts on “Introduce a front -end technology about the computer”
Walter
Big data basic concept
"Many people have not figured out what is the PC Internet, the mobile Internet is here, and when we have not figured out the mobile internet, the era of big data is here again." - Ma Yun Specifications
This Try to discuss the core business value of big data from the perspective of the three major industries. First of all, examples of some typical applications of big data, then explain the definition of big data, and finally summarize the value of big data.
We know: The first industrial revolution is based on coal, steam engines and printing as a sign, The second industrial revolution is based on oil, internal combustion engines and telecommunications technology As a sign, The third industrial revolution is based on nuclear energy, and Internet technology is marked. The fourth industrial revolution is based on renewable energy, and _________ as the sign. What will you fill in the blank space? Welcome everyone to discuss. However, it can be predicted that data and content as the core of the Internet. Whether it is a traditional industry or a new type of industry, who is the first to integrate with the Internet, and can find the hidden law from the gold mines of big data, it can seize the opportunity and become the opportunity to become the opportunity and become become the opportunity and become become the opportunity and become become the opportunity and become become the opportunity and become become the opportunity and become become the opportunity and become become the opportunity and become become the opportunity and become become the opportunity and become become the opportunity. Symbol of technical reform.
. The application of big data The method of big data mining commercial value is mainly divided into four types: The customer group segmentation, and then customized special services for each group quantity Essence It simulates the real environment, discover new demand and increase the return on investment. In strengthening departmental connection to improve the efficiency of the entire management chain and industrial chain. The service costs are reduced, and hidden clues are found to innovate products and services.
mckinsey lists the difficulty of using big data value and development potential to use big data value. "Big Data: The Next Frontier for, and"
The relationship map between various data, note that Open Data fully contains Open Data (government open data)
MCKINSEY also lists the potential economic value of the seven major industries in the Open Data era. From top to bottom, it is education, transportation, consumer goods, power, oil and natural gas, medical care, and consumer finance. (Thanks to the supplementary link information provided by Zhiyou Anyang)
The types of big data can be roughly divided into three categories: Crim data (DATA): consumer data including CRM Systems, traditional traditional ERP data, inventory data, and account data. MACHINE-GENERATD /Sensor Data: Including Call Detail Records, smart instruments, industrial equipment sensors, device logs (usually Digital Exhaust), transaction data, etc. Social data: Including user behavior records, feedback data, etc. Social media platforms such as Twitter, Facebook.
Theoretically, all industries will benefit from the development of big data. However, due to the lack of data and the practitioners themselves, the development speed of the first and second industries will be slower than the tertiary industry.
(2). Second Industry In September 2013, the Ministry of Industry and Information Technology released the "Special Action Plan for Printing and Distributing Informatization and Industrialization In-depth Integration (2013-2018)" Notice. It is clearly proposed to promote the integration innovation and application of the Internet of Things in the industrial field: The implementation of the Internet of Things development, conducting pilot demonstrations in key industry organizations, based on the application of sensors and sensor networks, RFID, and industrial big data as the starting point. Support IoT applications such as control, production environment testing, manufacturing supply chain tracking, remote diagnosis management, etc., and promote economic benefits, safety production and energy saving and emission reduction.
The business of big data is mostly data -driven type, which has the characteristics of large data volume, many types, and high real -time. Industrial enterprises' data records were mainly divided into two methods in the past: traditional paper pen and excel electronic meter records. These seemingly simple data management methods have laid huge hidden dangers for the production and quality monitoring of enterprises, and also made data mining cannot talk about it.
Ip with the integration of informationization and industrialization, information technology has penetrated into all aspects of the industrial enterprise industry chain. For example, technologies such as Sensor, RFID, BARCODE, and the Internet of Things have been initially applied in enterprises, and industrial big data has gradually become accumulated. The amount of data generated by the machine produced by the machine in the enterprise is no less than that of computer data, and most of the data types are non -structured data, and the real -time requirements of data are also higher. Therefore, there are many problems and challenges facing industrial big data, so William Ruh, vice president and global technical director of General Electric, believes that compared to industrial big data, the Industrial Internet is currently urgently needed. Because big data itself does not make information extraction more intelligent, business is more important than data itself.他举了一个核磁共振成像扫描的例子：rnHere's an example. An MRI scan is the best way to see inside the human body. While effective in helping to diagnose multiple sclerosis, brain tumors, torn ligaments and strokes, the data proced by an MRI machine is from the person that needs it the most.rnAt a very level, there are many indivials working as a team to make the scan happen. A nurse or contrast agents that may be needed for the exam ; an MRI operates the scanner; and a the imaging sequences to be used and the images. This is then given to the nurse, who then passes it to the primary doctor to review and take action . This is Big Data, but it is not Making More.
. In the industry, the characteristics of stress and temperature data are characterized by the context to understand. The temperature reading on the gas turbine exhaust device is completely different from the internal temperature of a locomotive. Gas turbines need to use very complex algorithm operation models to improve heat compresses. On the laptop, a typical query is generally three weeks to get the answer. It only takes less than a second to publish the same query on a big data -based distribution system.
The third -party certification agency (TüV Nord Group), Industry The predecessor of the German Boiler Inspection Association (TüV) was the former in Germany. The association undertakes the inspection of all boiler operation in Germany and ensures the safety of boiler production. Gradually, the German Boiler Inspection Association obtained the authorization of the German government and carried out inspection work on other products. From mining, power systems, to pressure vessels, motor vehicles, medical equipment, environmental protection, astronal industry, medical products, etc. The current German Handeral Technology Supervision Service Co., Ltd. has become a security code for many products. The main system certification includes an enterprise quality management system, the production environment system, and the production of carbon emissions solutions. TüV currently proposes the exploration of big data energy management from the construction green standard system. Taking the new Microsoft headquarters, the Tigon Krupp Elevator Headquarters as an example, the introduction of big data energy management in the entire project, in the design and planning stage of the building's design planning stage , Construction phase, operation stage and other stages through data management systems through data management systems to achieve low -carbon, green, and intelligence of the building.
If industrial automation software vendors (), industrial as a professional enterprise involved in system software, the calculation and application of big data are from the perspective of "IT". Real -time data management software can provide all real -time data from the establishment of a factory from the establishment to the scrap. At present, the mobile version has been withdrawn, and the engineering director can monitor the operating conditions of the equipment anytime, anywhere. There are currently more than one -third of factory application companies in the world.
Kessing more: What are the application prospects of big data in the power industry?
(3). Third industry The content in this part is more. Only some typical application examples are proposed here, welcome to add. In health and medical treatment: Fitbit® Office Site: Flex, One and Zip Wireless Activity and Sleep Tracker's fitness wristband can collect data about our walking or jogging data, such as walking steps, calorie consumption, sleep duration and other data. Health records to improve our health status; companies such as Early Detection of Patient are developing mattress monitoring sensors to automatically monitor and record heart rate, breathing rate, exercise and sleep activities. The data collected by the sensor is sent to smartphones and tablets in a wireless manner for further analysis; the American Public Health Association (American Public Health) develops the symptoms used by Flu Near You. Influenza activity.
Video: Internet TV can track what you are watching, how long you can watch, and even recognize how many people sit in front of the TV to determine the popularity of this channel. Netflix's largest domestic business video stream supplier in the United States, the collected data includes what users watch, when they like to watch, where to watch, and which equipment to watch. It even records information such as retreating, fast -moving or paused at which time the user's time is, and even see where the video is turned off directly. The typical application is that Netflix uses data to convince the BBC to re -remake the TV link "House of Cards", and successfully tap the actor of actor Kevin Spacey and director David Fincher and the original drama fans to determine the filming of the new drama. The best candidate. rnWhen the program, a remake of a BBC , was up for purchase in 2011 with David Fincher and Kevin Spacey attached, the folks at Netflix simply looked at their massive stash of data. who watched the original series, they found, were also likely to watch movies directed by David Fincher and enjoy ones that starred Kevin Spacey. the material and the players involved, the company was sure that an audience was out there.rnrn交通：《车来了》 By analyzing the daily location and time data of the GPS positioning system on the bus, the time of the arrival time of each bus is predicted by the timetable; the data developed by the Transit Time Nyc developed by WNYC through the open source itinerary (Github: and MTA) will be obtained. The New York City is divided into 2930 hexagonal, which simulates the time from each hexagon to the edge (subway and walking, the time is 9 am), and finally modeling 4290985 virtual lines. Users only need to click the map or enter the address to know the time when the subway reaches the time; the slogan of the real-time traffic data collection provider Inrix-Traffic is (never late! ^^). By recording the real-time real-time each user during driving, Data such as driving speed, the location of the location and the data summary analysis, and then calculated the best line to allow users to avoid congestion.
The e -commerce: DECIDE is a startup that predicts the price of goods and proposes to buy time for consumers. By grasping Amazon, Best Buy, New Egg, and the world's major websites, one billion counts are counted. The data is analyzed, and finally integrates in a page to facilitate consumers to compare and view, and can predict the price trend of the product, helping users determine the best time to buy the product. It was acquired by eBay in 2013.
Politics: Obama used big data analysis in the presidential campaign to collect the data of voters, so that he could focus on the voters who were most interested in him, Eric Schmidt, the big data of Obama at the time of Google's executive chairman. The analysis team invested millions of dollars and gathered the core members to set up a Civis Analytics consulting company that will apply the experience obtained by the Obama's re -election campaign to the commercial and non -profit industry. (If you learn more, you can take a look at MIT's article The Story of How President Obama Mined Voter Data to Win A Second Term)
Finance: Big Data is the former CIO of Google, Douglas Merrill Data analysis service providers, using machine learning algorithms and big data to provide underwriters with an insured mode, aiming to provide services for individuals who have poor credit or dissatisfaction with traditional bank loans. The company uses an analysis model to analyze the tens of thousands of raw information of each credit applicant. It only takes a few seconds to get more than 100,000 behavioral indicators. The current default rate is about 60%lower than the industry average. Another thing that I have to mention is FICO | Analytics, Big Data Analytics and FICO CREDIT Scores, providing services for banking and credit card issuers, insurance, medical care, government and retail industry through big data analysis. The basic idea of FICO credit score calculation is to compare the borrower's past credit historical data with the credit habits of all borrowers in the database, check the development trend of borrower and frequent defaults, random overdrafts, and even apply for bankruptcy, etc. Is the development trend of borrowers of financial dilemma similar? FICO has provided services for Two -thirds of the world's top 100 banks, increasing customer loyalty and profit margin, reducing fraud loss, management credit risk, meeting regulatory and competition requirements, and quickly acquiring market share. If you want to know more companies, you can read the article "Big Data: Crunching The Numbers" in the Appendix.
The Telecom: The United States T-MOBILES uses-The Data Company platform to carry out big data work. By integrated the reasons for the loss of customer loss by integrated data, the network layout is optimized based on the analysis results. The loss rate will be halved in the first quarter; South Korea's SK Telecom newly established a company SK Planet to analyze the user's use behavior through big data, and launch a business that meets the user's interest before making a decision to prevent user loss. The US AT
The CPU has developed evolution in low heat and more reasonable main frequency. From 95 nanometer many years ago to now 32 nanometer and 14 nanometers, it is a qualitative leap in performance, but limited to quantum theory, computers cannot develop like this forever development. After all, the nano -level processor is going to end after all, but whether it is a light processor, biological processor, quantum processor, have not seen the shadow, and have not made a breakthrough in technical.
Big data basic concept
"Many people have not figured out what is the PC Internet, the mobile Internet is here, and when we have not figured out the mobile internet, the era of big data is here again." - Ma Yun Specifications
This Try to discuss the core business value of big data from the perspective of the three major industries.
First of all, examples of some typical applications of big data, then explain the definition of big data, and finally summarize the value of big data.
We know:
The first industrial revolution is based on coal, steam engines and printing as a sign,
The second industrial revolution is based on oil, internal combustion engines and telecommunications technology As a sign,
The third industrial revolution is based on nuclear energy, and Internet technology is marked.
The fourth industrial revolution is based on renewable energy, and _________ as the sign.
What will you fill in the blank space? Welcome everyone to discuss. However, it can be predicted that data and content as the core of the Internet. Whether it is a traditional industry or a new type of industry, who is the first to integrate with the Internet, and can find the hidden law from the gold mines of big data, it can seize the opportunity and become the opportunity to become the opportunity and become become the opportunity and become become the opportunity and become become the opportunity and become become the opportunity and become become the opportunity and become become the opportunity and become become the opportunity and become become the opportunity and become become the opportunity and become become the opportunity. Symbol of technical reform.
. The application of big data
The method of big data mining commercial value is mainly divided into four types:
The customer group segmentation, and then customized special services for each group quantity Essence
It simulates the real environment, discover new demand and increase the return on investment.
In strengthening departmental connection to improve the efficiency of the entire management chain and industrial chain.
The service costs are reduced, and hidden clues are found to innovate products and services.
mckinsey lists the difficulty of using big data value and development potential to use big data value. "Big Data: The Next Frontier for, and"
The relationship map between various data, note that Open Data fully contains Open Data (government open data)
MCKINSEY also lists the potential economic value of the seven major industries in the Open Data era. From top to bottom, it is education, transportation, consumer goods, power, oil and natural gas, medical care, and consumer finance. (Thanks to the supplementary link information provided by Zhiyou Anyang)
The types of big data can be roughly divided into three categories:
Crim data (DATA): consumer data including CRM Systems, traditional traditional ERP data, inventory data, and account data.
MACHINE-GENERATD /Sensor Data: Including Call Detail Records, smart instruments, industrial equipment sensors, device logs (usually Digital Exhaust), transaction data, etc.
Social data: Including user behavior records, feedback data, etc. Social media platforms such as Twitter, Facebook.
Theoretically, all industries will benefit from the development of big data. However, due to the lack of data and the practitioners themselves, the development speed of the first and second industries will be slower than the tertiary industry.
(2). Second Industry
In September 2013, the Ministry of Industry and Information Technology released the "Special Action Plan for Printing and Distributing Informatization and Industrialization In-depth Integration (2013-2018)" Notice. It is clearly proposed to promote the integration innovation and application of the Internet of Things in the industrial field:
The implementation of the Internet of Things development, conducting pilot demonstrations in key industry organizations, based on the application of sensors and sensor networks, RFID, and industrial big data as the starting point. Support IoT applications such as control, production environment testing, manufacturing supply chain tracking, remote diagnosis management, etc., and promote economic benefits, safety production and energy saving and emission reduction.
The business of big data is mostly data -driven type, which has the characteristics of large data volume, many types, and high real -time. Industrial enterprises' data records were mainly divided into two methods in the past: traditional paper pen and excel electronic meter records. These seemingly simple data management methods have laid huge hidden dangers for the production and quality monitoring of enterprises, and also made data mining cannot talk about it.
Ip with the integration of informationization and industrialization, information technology has penetrated into all aspects of the industrial enterprise industry chain. For example, technologies such as Sensor, RFID, BARCODE, and the Internet of Things have been initially applied in enterprises, and industrial big data has gradually become accumulated. The amount of data generated by the machine produced by the machine in the enterprise is no less than that of computer data, and most of the data types are non -structured data, and the real -time requirements of data are also higher. Therefore, there are many problems and challenges facing industrial big data, so William Ruh, vice president and global technical director of General Electric, believes that compared to industrial big data, the Industrial Internet is currently urgently needed. Because big data itself does not make information extraction more intelligent, business is more important than data itself.他举了一个核磁共振成像扫描的例子：rnHere's an example. An MRI scan is the best way to see inside the human body. While effective in helping to diagnose multiple sclerosis, brain tumors, torn ligaments and strokes, the data proced by an MRI machine is from the person that needs it the most.rnAt a very level, there are many indivials working as a team to make the scan happen. A nurse or contrast agents that may be needed for the exam ; an MRI operates the scanner; and a the imaging sequences to be used and the images. This is then given to the nurse, who then passes it to the primary doctor to review and take action . This is Big Data, but it is not Making More.
. In the industry, the characteristics of stress and temperature data are characterized by the context to understand. The temperature reading on the gas turbine exhaust device is completely different from the internal temperature of a locomotive. Gas turbines need to use very complex algorithm operation models to improve heat compresses. On the laptop, a typical query is generally three weeks to get the answer. It only takes less than a second to publish the same query on a big data -based distribution system.
The third -party certification agency (TüV Nord Group), Industry
The predecessor of the German Boiler Inspection Association (TüV) was the former in Germany. The association undertakes the inspection of all boiler operation in Germany and ensures the safety of boiler production. Gradually, the German Boiler Inspection Association obtained the authorization of the German government and carried out inspection work on other products. From mining, power systems, to pressure vessels, motor vehicles, medical equipment, environmental protection, astronal industry, medical products, etc. The current German Handeral Technology Supervision Service Co., Ltd. has become a security code for many products. The main system certification includes an enterprise quality management system, the production environment system, and the production of carbon emissions solutions. TüV currently proposes the exploration of big data energy management from the construction green standard system. Taking the new Microsoft headquarters, the Tigon Krupp Elevator Headquarters as an example, the introduction of big data energy management in the entire project, in the design and planning stage of the building's design planning stage , Construction phase, operation stage and other stages through data management systems through data management systems to achieve low -carbon, green, and intelligence of the building.
If industrial automation software vendors (), industrial
as a professional enterprise involved in system software, the calculation and application of big data are from the perspective of "IT". Real -time data management software can provide all real -time data from the establishment of a factory from the establishment to the scrap. At present, the mobile version has been withdrawn, and the engineering director can monitor the operating conditions of the equipment anytime, anywhere. There are currently more than one -third of factory application companies in the world.
Kessing more:
What are the application prospects of big data in the power industry?
(3). Third industry
The content in this part is more. Only some typical application examples are proposed here, welcome to add.
In health and medical treatment: Fitbit® Office Site: Flex, One and Zip Wireless Activity and Sleep Tracker's fitness wristband can collect data about our walking or jogging data, such as walking steps, calorie consumption, sleep duration and other data. Health records to improve our health status; companies such as Early Detection of Patient are developing mattress monitoring sensors to automatically monitor and record heart rate, breathing rate, exercise and sleep activities. The data collected by the sensor is sent to smartphones and tablets in a wireless manner for further analysis; the American Public Health Association (American Public Health) develops the symptoms used by Flu Near You. Influenza activity.
Video: Internet TV can track what you are watching, how long you can watch, and even recognize how many people sit in front of the TV to determine the popularity of this channel. Netflix's largest domestic business video stream supplier in the United States, the collected data includes what users watch, when they like to watch, where to watch, and which equipment to watch. It even records information such as retreating, fast -moving or paused at which time the user's time is, and even see where the video is turned off directly. The typical application is that Netflix uses data to convince the BBC to re -remake the TV link "House of Cards", and successfully tap the actor of actor Kevin Spacey and director David Fincher and the original drama fans to determine the filming of the new drama. The best candidate. rnWhen the program, a remake of a BBC , was up for purchase in 2011 with David Fincher and Kevin Spacey attached, the folks at Netflix simply looked at their massive stash of data. who watched the original series, they found, were also likely to watch movies directed by David Fincher and enjoy ones that starred Kevin Spacey. the material and the players involved, the company was sure that an audience was out there.rnrn交通：《车来了》 By analyzing the daily location and time data of the GPS positioning system on the bus, the time of the arrival time of each bus is predicted by the timetable; the data developed by the Transit Time Nyc developed by WNYC through the open source itinerary (Github: and MTA) will be obtained. The New York City is divided into 2930 hexagonal, which simulates the time from each hexagon to the edge (subway and walking, the time is 9 am), and finally modeling 4290985 virtual lines. Users only need to click the map or enter the address to know the time when the subway reaches the time; the slogan of the real-time traffic data collection provider Inrix-Traffic is (never late! ^^). By recording the real-time real-time each user during driving, Data such as driving speed, the location of the location and the data summary analysis, and then calculated the best line to allow users to avoid congestion.
The e -commerce: DECIDE is a startup that predicts the price of goods and proposes to buy time for consumers. By grasping Amazon, Best Buy, New Egg, and the world's major websites, one billion counts are counted. The data is analyzed, and finally integrates in a page to facilitate consumers to compare and view, and can predict the price trend of the product, helping users determine the best time to buy the product. It was acquired by eBay in 2013.
Politics: Obama used big data analysis in the presidential campaign to collect the data of voters, so that he could focus on the voters who were most interested in him, Eric Schmidt, the big data of Obama at the time of Google's executive chairman. The analysis team invested millions of dollars and gathered the core members to set up a Civis Analytics consulting company that will apply the experience obtained by the Obama's re -election campaign to the commercial and non -profit industry. (If you learn more, you can take a look at MIT's article The Story of How President Obama Mined Voter Data to Win A Second Term)
Finance: Big Data is the former CIO of Google, Douglas Merrill Data analysis service providers, using machine learning algorithms and big data to provide underwriters with an insured mode, aiming to provide services for individuals who have poor credit or dissatisfaction with traditional bank loans. The company uses an analysis model to analyze the tens of thousands of raw information of each credit applicant. It only takes a few seconds to get more than 100,000 behavioral indicators. The current default rate is about 60%lower than the industry average. Another thing that I have to mention is FICO | Analytics, Big Data Analytics and FICO CREDIT Scores, providing services for banking and credit card issuers, insurance, medical care, government and retail industry through big data analysis. The basic idea of FICO credit score calculation is to compare the borrower's past credit historical data with the credit habits of all borrowers in the database, check the development trend of borrower and frequent defaults, random overdrafts, and even apply for bankruptcy, etc. Is the development trend of borrowers of financial dilemma similar? FICO has provided services for Two -thirds of the world's top 100 banks, increasing customer loyalty and profit margin, reducing fraud loss, management credit risk, meeting regulatory and competition requirements, and quickly acquiring market share. If you want to know more companies, you can read the article "Big Data: Crunching The Numbers" in the Appendix.
The Telecom: The United States T-MOBILES uses-The Data Company platform to carry out big data work. By integrated the reasons for the loss of customer loss by integrated data, the network layout is optimized based on the analysis results. The loss rate will be halved in the first quarter; South Korea's SK Telecom newly established a company SK Planet to analyze the user's use behavior through big data, and launch a business that meets the user's interest before making a decision to prevent user loss. The US AT
The CPU has developed evolution in low heat and more reasonable main frequency. From 95 nanometer many years ago to now 32 nanometer and 14 nanometers, it is a qualitative leap in performance, but limited to quantum theory, computers cannot develop like this forever development. After all, the nano -level processor is going to end after all, but whether it is a light processor, biological processor, quantum processor, have not seen the shadow, and have not made a breakthrough in technical.