Smart cities Reggio Emilia 27 giugno 2012
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Smart cities Reggio Emilia 27 giugno 2012
- 1. Idee “non convenzionali” sulla “città intelligente” ovvero: dietro ad ogni frigorifero ci sta un uomo Michele Vianello: Direttore Generale del VEGA
- 2. Sono il Direttore Generale del VEGA (Il Parco Scientifico e Tecnologico di Venezia). Sono un #nomadworker Mi sono occupato e mi occupo di WEB e di Social Media, di Città Intelligenti. Mi trovate su Facebook, su Twitter, su Linkedin ecc. ecc. Se volete seguirmi, leggete il mio blog: http://www.michelecamp.it p.s. sono considerato uno “starnutitore” v. Seth Godin vediamo se funziona anche con voi....
- 3. “BUILD YOUR OWN SMART CITY” Michele Vianello #nomadworker http://www.michelecamp.it
- 4. “BUILD YOUR OWN SMART CITY” vi narro storie del genere umano Michele Vianello #nomadworker http://www.michelecamp.it
- 5. Innovazioni “disruptive” Michele Vianello #nomadworker http://www.michelecamp.it
- 6. Innovazioni “disruptive” Social Network Michele Vianello #nomadworker http://www.michelecamp.it
- 7. Innovazioni “disruptive” Social Network the Big Data Michele Vianello #nomadworker http://www.michelecamp.it
- 8. Innovazioni “disruptive” Social Network Mobile the Big Data Michele Vianello #nomadworker http://www.michelecamp.it
- 9. Innovazioni “disruptive” Social Network Mobile the Big Data Internet of Things Michele Vianello #nomadworker http://www.michelecamp.it
- 10. Innovazioni “disruptive” Social Network Mobile the Big Data Internet of Things Cloud Computing Michele Vianello #nomadworker http://www.michelecamp.it
- 11. Un mondo interamente connesso Immaginate Un’immensa nuvola di dati Michele Vianello #nomadworker http://www.michelecamp.it
- 12. Persone che condividono conoscenze Immaginate Oggetti che comunicano Michele Vianello #nomadworker http://www.michelecamp.it
- 13. Michele Vianello #nomadworker http://www.michelecamp.it
- 14. Michele Vianello #nomadworker http://www.michelecamp.it
- 15. ...quali effetti sociali e culturali.... e soprattutto: chi guida il cambiamento??? Michele Vianello #nomadworker http://www.michelecamp.it
- 16. Michele Vianello #nomadworker http://www.michelecamp.it
- 17. “Sarà una città sradicata da qualsiasi punto definito sulla superficie della terra, configurata dalle limitazioni della connettività e dell’ampiezza di banda, più che dall’accessibilità e dal valore di posizione delle proprietà, ampiamente asincrona nel suo funzionamento, abitata da soggetti incorporei e frammentati che esistono come collezioni di alias e di agenti elettronici. I suoi luoghi saranno costruiti virtualmente dal software e non più fisicamente da pietre e legno; questi luoghi saranno collegati da legami logici al posto di porte, passaggi e strade ” Michele Vianello #nomadworker http://www.michelecamp.it
- 18. Michele Vianello #nomadworker http://www.michelecamp.it
- 19. Michele Vianello #nomadworker http://www.michelecamp.it
- 20. OUT: - FISICITA’ - CONTESTO/LUOGO - ATOMI - ORARI STABILITI LA TECNOLOGIA DELLA CONOSCENZA CI CONSENTE DI DECONTESTUALIZZARE Michele Vianello #nomadworker http://www.michelecamp.it
- 21. OUT: - FISICITA’ Lavoro - CONTESTO/LUOGO - ATOMI - ORARI STABILITI LA TECNOLOGIA DELLA CONOSCENZA CI CONSENTE DI DECONTESTUALIZZARE Michele Vianello #nomadworker http://www.michelecamp.it
- 22. Michele Vianello #nomadworker http://www.michelecamp.it
- 23. 8 ore 8 ore lavorare ore 8 vita dormire Michele Vianello #nomadworker http://www.michelecamp.it
- 24. giorno/attività Il lavoro/La mobilità/Gli orari Coworker-Nomadic Worker versus “La nostra vita di ogni giorno” notte-dormire Michele Vianello #nomadworker http://www.michelecamp.it slide di Michele Vianello
- 25. esto esto t t c on c on giorno/attività Il lavoro/La mobilità/Gli orari Coworker-Nomadic Worker versus “La nostra vita di ogni giorno” notte-dormire esto to to t te s t es c on c on c on Michele Vianello #nomadworker http://www.michelecamp.it slide di Michele Vianello
- 26. Michele Vianello #nomadworker http://www.michelecamp.it
- 27. DECONTESTUALIZZAZIONE NEL LAVORO E’ SCINDERE IL LUOGO DALL’ATTIVITA’, DAL TEMPO Michele Vianello #nomadworker http://www.michelecamp.it
- 28. DECONTESTUALIZZAZIONE NEL LAVORO E’ SCINDERE IL LUOGO DALL’ATTIVITA’, DAL TEMPO bla- bla bla- bla- bla bla Michele Vianello #nomadworker http://www.michelecamp.it
- 29. Michele Vianello #nomadworker http://www.michelecamp.it
- 30. UN MONDO DI LAVORATORI NOMADI Michele Vianello #nomadworker http://www.michelecamp.it
- 31. Michele Vianello #nomadworker http://www.michelecamp.it
- 32. un oggetto può essere SMART..... Michele Vianello #nomadworker http://www.michelecamp.it
- 33. un oggetto può essere SMART..... solo una Città può essere INTELLIGENTE !!!!!! Michele Vianello #nomadworker http://www.michelecamp.it
- 34. Infrastrutturazione Fattori, Cloud Computing strumenti, abilitanti a... Tablet, Smartphone, QCODE, RFID ecc. Michele Vianello #nomadworker http://www.michelecamp.it
- 35. Attività..... Michele Vianello #nomadworker http://www.michelecamp.it
- 36. Michele Vianello #nomadworker http://www.michelecamp.it
- 37. BIT!!! BIT!!! BIT!!! BIT!!! BIT!!! Michele Vianello #nomadworker http://www.michelecamp.it
- 38. Michele Vianello #nomadworker http://www.michelecamp.it
- 39. OPEN DATA Surplus cognitiv o Fibra Digital Intelligenza Internet Smart cities Social Cloud Smart Grid Wifi Cloud Social Network Michele Vianello #nomadworker http://www.michelecamp.it
- 40. OPEN DATA Surplus cognitiv o Fibra Digital Intelligenza Internet Smart cities Social Cloud Smart Grid Wifi Cloud Social Network Michele Vianello #nomadworker http://www.michelecamp.it
- 41. OPEN DATA Surplus cognitiv o Fibra Digital Intelligenza Internet Smart cities Social Cloud Smart Grid Wifi Cloud Social Network Michele Vianello #nomadworker http://www.michelecamp.it
- 42. OPEN DATA Surplus cognitiv vengono postati o 510.000 Fibra commenti Digital vengono caricati Intelligenza 9800 600 Internet Tweets filmati Smart cities Social Cloud vengono scaricate 13000 Smart Grid Wifi apps Cloud Social Network Michele Vianello #nomadworker http://www.michelecamp.it
- 43. I city user devono acquisire la piena consapevolezza delle potenzialità, dei social per non sprecarle banalmente. Michele Vianello #nomadworker http://www.michelecamp.it
- 44. “Internet of things" permette agli oggetti di comunicare tra di loro attraverso il web. Ma, non dimentichiamolo mai, non è il frigorifero che fa la spesa. Dietro a una lampadina ci sta sempre un uomo che l’accende. Michele Vianello #nomadworker http://www.michelecamp.it
- 45. The Internet of Things Leads to the Internet of Everything Over 50% of Internet connections are things Remote sensing of objects 2011: 15+ billion permanent, 50+ billion intermittent and environment 2020: 30+ billion permanent, >200 billion intermittent Building and New routes to infrastructure market via Audio $0.5 management intelligent objects Cameras and microphones widely deployed Everything has a URL 2 GB flash $3 Content and services via connected products Augmented Situational decision reality support LTE NFC GPRS $7/Wi-Fi $3 7" 800 x 400 display $20
- 46. Michele Vianello #nomadworker http://www.michelecamp.it
- 47. social network BIT!!!! gioco CONOSCENZA BIT!!!! attività istituzionali attività lavorative Michele Vianello #nomadworker http://www.michelecamp.it
- 48. OPEN DATA Surplus cognitiv o Fibra Digital Intelligenza Internet Smart cominciamo a definire cities questa infinita quantità Social Cloud di dialoghi prodotti da tutti noi Smart Grid Wifi SURPLUS COGNITIVO Cloud Social Network Michele Vianello #nomadworker http://www.michelecamp.it
- 49. OPEN DATA Surplus cognitiv o Fibra Digital Intelligenza Internet Smart cities Social Cloud Smart Grid Wifi Cloud Social Network Michele Vianello #nomadworker http://www.michelecamp.it
- 50. OPEN DATA Surplus cognitiv o Fibra Digital #traffico Intelligenza Internet Smart cities Social Cloud Smart Grid Wifi Cloud Social Network Michele Vianello #nomadworker http://www.michelecamp.it
- 51. OPEN DATA Surplus cognitiv o Fibra Digital Intelligenza Internet Smart cities Social Cloud “terminiamo” la privacy Smart Grid Wifi Cloud Social Network Michele Vianello #nomadworker http://www.michelecamp.it
- 52. OPEN DATA Surplus cognitiv o Fibra Digital Intelligenza Internet Smart cities Social Cloud Smart Grid Wifi Cloud Social Network Michele Vianello #nomadworker http://www.michelecamp.it
- 53. OPEN DATA Surplus cognitiv la “privacy” o è un Fibra valore Digital Intelligenza Internet Smart cities Social Cloud Smart Grid Wifi Cloud Social Network Michele Vianello #nomadworker http://www.michelecamp.it
- 54. OPEN DATA Surplus cognitiv la “privacy” o è un Fibra valore Digital Intelligenza Internet la Smart cities “condivisione” è un Social Cloud valore Smart Grid Wifi Cloud Social Network Michele Vianello #nomadworker http://www.michelecamp.it
- 55. http://ushahidi.com/ Michele Vianello #nomadworker http://www.michelecamp.it
- 56. Michele Vianello #nomadworker http://www.michelecamp.it
- 57. Mappe per moderni viaggiatori Michele Vianello #nomadworker http://www.michelecamp.it
- 58. Michele Vianello #nomadworker http://www.michelecamp.it
- 59. “Settori industriali in crisi come l’energia e i trasporti stanno vivendo un profondo cambiamento via via che l’era digitale porta alla luce nuove opportunità per accelerare la ricerca e collaborare sulla base di alternative sostenibili. Le vecchie verità su come motivare e preservare il capitale umano si stanno dimostrando inadeguate rispetto ai nuovi modelli di innovazione in base a cui le organizzazioni si approvvigionavano di idee -nonché delle competenze necessarie per metterle in pratica- attingendo ad un vasto bacino di talenti.” Michele Vianello #nomadworker http://www.michelecamp.it
- 60. Michele Vianello #nomadworker http://www.michelecamp.it slide di Michele Vianello
- 61. Michele Vianello #nomadworker http://www.michelecamp.it slide di Michele Vianello
- 62. OPEN DATA Surplus cognitiv o Fibra Digital Intelligenza Internet Smart cities Social Cloud Smart Grid Wifi Cloud Social Network Michele Vianello #nomadworker http://www.michelecamp.it
- 63. OPEN DATA Surplus cognitiv o Social network Fibra Internet of things Digital Dati di pubblica Intelligenza Internet utilità Smart cities Social Cloud “SOCIAL Smart Grid Wifi Cloud CLOUD” Social Network Michele Vianello #nomadworker http://www.michelecamp.it
- 64. Big Data ... Fast Data … All Data
- 65. Big Data ... Fast Data … All Data Mobile and Communications
- 66. Big Data ... Fast Data … All Data RFID, Meters and Other OT Mobile and Communications
- 67. Big Data ... Fast Data … All Data ball and ey, base ying hock ns. I like pla mountai ica climbing rth Amer ations in No surpassed and nt civiliz playing hockey, baseball that The ancie eeIring marvels they invented gin like had en becaus climbing e mouney also tains. d Greece ye s eelier. Th prove ica Rome anThe ancient ar I like play in North Amer out 700 civilizationsing hock " to im the "0" ab engineerinmean eering. surpabaseball and en g marvels that ey, ssed had "gold eir engin bing red the clim ted discove y aspect ofGreece because they inven s. th mountain rk in New Yo They also ever Rome andThe ancient civilizati. n abou the "0" ally t ented inv700 years eelier ons in Nort t America s actu had engibuen ing marto improveh America Pizza wa n food neer means vels g." RFID, Meters discovered thee"gold hettiengineerinthat surpassed not ItaliaRom spag wa everythe "0"and Gree city. It isNot only that, t of their ce because they inve aspec food. abou. ted in s in Chinat 700 yearNew YorkThey nted Pizza was actually inven inventedovered the "gol disc earlier. also Documents American every aspect but etti den mean" city. It is not Italian food of their was to improve Not only that, spagh food.Pizza engineering. was actuChina. in ally invented in invented and Other OT city. It is not Italia New York food. Not only that n food but Ame rican , spaghetti was invented in Chin and Content a. Mobile and Communications
- 68. Big Data ... Fast Data … All Data ball and ey, base ying hock ns. I like pla mountai ica climbing rth Amer ations in No surpassed and nt civiliz playing hockey, baseball that The ancie eeIring marvels they invented gin like had en becaus climbing e mouney also tains. d Greece ye s eelier. Th prove ica Rome anThe ancient ar I like play in North Amer out 700 civilizationsing hock " to im the "0" ab engineerinmean eering. surpabaseball and en g marvels that ey, ssed had "gold eir engin bing red the clim ted discove y aspect ofGreece because they inven s. th mountain rk in New Yo They also ever Rome andThe ancient civilizati. n abou the "0" ally t ented inv700 years eelier ons in Nort t America s actu had engibuen ing marto improveh America Pizza wa n food neer means vels g." RFID, Meters discovered thee"gold hettiengineerinthat surpassed not ItaliaRom spag wa everythe "0"and Gree city. It isNot only that, t of their ce because they inve aspec food. abou. ted in s in Chinat 700 yearNew YorkThey nted Pizza was actually inven inventedovered the "gol disc earlier. also Documents American every aspect but etti den mean" city. It is not Italian food of their was to improve Not only that, spagh food.Pizza engineering. was actuChina. in ally invented in invented and Other OT city. It is not Italia New York food. Not only that n food but Ame rican , spaghetti was invented in Chin and Content a. Internal Applications, Mobile and Email, More Communications
- 69. Big Data ... Fast Data … All Data ball and ey, base ying hock ns. I like pla mountai ica climbing rth Amer ations in No surpassed and nt civiliz playing hockey, baseball that The ancie eeIring marvels they invented gin like had en becaus climbing e mouney also tains. d Greece ye s eelier. Th prove ica Rome anThe ancient ar I like play in North Amer out 700 civilizationsing hock " to im the "0" ab engineerinmean eering. surpabaseball and en g marvels that ey, ssed had "gold eir engin bing red the clim ted discove y aspect ofGreece because they inven s. th mountain rk in New Yo They also ever Rome andThe ancient civilizati. n abou the "0" ally t ented inv700 years eelier ons in Nort t America s actu had engibuen ing marto improveh America Pizza wa n food neer means vels g." RFID, Meters discovered thee"gold hettiengineerinthat surpassed not ItaliaRom spag wa everythe "0"and Gree city. It isNot only that, t of their ce because they inve aspec food. abou. ted in s in Chinat 700 yearNew YorkThey nted Pizza was actually inven inventedovered the "gol disc earlier. also Documents American every aspect but etti den mean" city. It is not Italian food of their was to improve Not only that, spagh food.Pizza engineering. was actuChina. in ally invented in invented and Other OT city. It is not Italia New York food. Not only that n food but Ame rican , spaghetti was invented in Chin and Content a. Social Computing Internal Applications, Mobile and Email, More Communications
- 70. Big Data ... Fast Data … All Data ball and ey, base ying hock ns. I like pla mountai ica climbing rth Amer ations in No surpassed and nt civiliz playing hockey, baseball that The ancie eeIring marvels they invented gin like had en becaus climbing e mouney also tains. d Greece ye s eelier. Th prove ica Rome anThe ancient ar I like play in North Amer out 700 civilizationsing hock " to im the "0" ab engineerinmean eering. surpabaseball and en g marvels that ey, ssed had "gold eir engin bing red the clim ted discove y aspect ofGreece because they inven s. th mountain rk in New Yo They also ever Rome andThe ancient civilizati. n abou the "0" ally t ented inv700 years eelier ons in Nort t America s actu had engibuen ing marto improveh America Pizza wa n food neer means vels g." RFID, Meters discovered thee"gold hettiengineerinthat surpassed not ItaliaRom spag wa everythe "0"and Gree city. It isNot only that, t of their ce because they inve aspec food. abou. ted in s in Chinat 700 yearNew YorkThey nted Pizza was actually inven inventedovered the "gol disc earlier. also Documents American every aspect but etti den mean" city. It is not Italian food of their was to improve Not only that, spagh food.Pizza engineering. was actuChina. in ally invented in invented and Other OT city. It is not Italia New York food. Not only that n food but Ame rican , spaghetti was invented in Chin and Content a. Social Computing B2B Internal Applications, Mobile and Email, More Communications
- 71. Big Data ... Fast Data … All Data ball and ey, base ying hock ns. I like pla mountai ica climbing rth Amer ations in No surpassed and nt civiliz playing hockey, baseball that The ancie eeIring marvels they invented gin like had en becaus climbing e mouney also tains. d Greece ye s eelier. Th prove ica Rome anThe ancient ar I like play in North Amer out 700 civilizationsing hock " to im the "0" ab engineerinmean eering. surpabaseball and en g marvels that ey, ssed had "gold eir engin bing red the clim ted discove y aspect ofGreece because they inven s. th mountain rk in New Yo They also ever Rome andThe ancient civilizati. n abou the "0" ally t ented inv700 years eelier ons in Nort t America s actu had engibuen ing marto improveh America Pizza wa n food neer means vels g." RFID, Meters discovered thee"gold hettiengineerinthat surpassed not ItaliaRom spag wa everythe "0"and Gree city. It isNot only that, t of their ce because they inve aspec food. abou. ted in s in Chinat 700 yearNew YorkThey nted Pizza was actually inven inventedovered the "gol disc earlier. also Documents American every aspect but etti den mean" city. It is not Italian food of their was to improve Not only that, spagh food.Pizza engineering. was actuChina. in ally invented in invented and Other OT city. It is not Italia New York food. Not only that n food but Ame rican , spaghetti was invented in Chin and Content a. Cloud Computing and Cloud Data Social Computing B2B Internal Applications, Mobile and Email, More Communications
- 72. 1-Liberare tutti i “data”, 2 - Visualizzare i “data” 3 - Storicizzare i “data” 4 - I “data” sono il cervello della “città narrante” Michele Vianello #nomadworker http://www.michelecamp.it
- 73. Naturalmente mi interessano le vostre idee, i vostri suggerimenti, le vostre critiche. Scrivetemi sul blog, su Facebook, su il mio blog: http://www.michelecamp.it Twitter..... sono facilmente michele.vianello0@aliceeposta.it reperibile in rete!!!! michele.vianello@vegapark.ve.it @michelevianello #nomadworker
- 74. GRAZIE PER L’ATTENZIONE!!!!! Naturalmente mi interessano le vostre idee, i vostri suggerimenti, le vostre critiche. Scrivetemi sul blog, su Facebook, su il mio blog: http://www.michelecamp.it Twitter..... sono facilmente michele.vianello0@aliceeposta.it reperibile in rete!!!! michele.vianello@vegapark.ve.it @michelevianello #nomadworker
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- The Internet of Things (IoT) is a concept that describes how the Internet will expand as physical items such as consumer devices and physical assets are connected to the Internet. The vision and concept have existed for years; however, there has been an acceleration in the number and types of things that are being connected and in the technologies for identifying, sensing and communicating. This leads to the important trend of imbuing IT tools and practices into operational technology (OT), plus value can be gained when these newly smart and connected objects can be linked to traditional IT systems to inject purchases and other business transactions. They can also use this link to receive updated behavioral orders, adjusting the way those OT objects act to the situation and the objectives determined by the business strategy and IT systems. Key elements of the IoT include:\nEmbedded sensors: Sensors that detect and communicate changes (e.g., accelerometers, GPS, compasses, cameras) are being embedded not just in mobile devices but in an increasing number of places and objects. \nImage recognition: Image recognition technologies strive to identify objects, people, buildings, places, logos and anything else that has value to consumers and enterprises. Smartphones and tablets equipped with cameras have pushed this technology from mainly industrial applications to broad consumer and enterprise applications.\nNFC payment: NFC allows users to make payments by waving their mobile phone in front of a compatible reader. Once NFC is embedded in a critical mass of phones for payment, industries such as public transportation, airlines, retail and healthcare can explore other areas in which NFC technology can improve efficiency and customer service.\n
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- Big data has such a vast size that it exceeds the capacity of traditional data management technologies; it requires the use of new or exotic technologies simply to manage the volume alone. But processing matters, too. A complex statistical model can make a 300 GB database seem bigger than a 110 TB database, even if both are running on multicore, distributed parallel processing platforms. Big data has quickly emerged as a significant challenge for IT leaders. The term only became popular in 2009. By February 2011, a Google search on "big data" yielded 2.9 million hits, and vendors now advertise their products as solutions to the big data challenge. Inquiries about big data from Gartner clients have risen sharply as well. \nMany new technologies are emerging, with the potential to be disruptive (e.g., in-memory DBMS), while others are hyped in the market and, although interesting, add no real value to the market (e.g., noSQL). Many new vendors are also emerging with this technology (see "Cool Vendors in Data Management and Integration, 2011" [G00211777]).\nIn addition to these, other new forces are coming into play. Analytics has become a major driving application for DW, with in-DBMS analytics (as delivered by Teradata and SAS, as well as others), use of MapReduce outside and inside the DBMS, and the use of self-service data marts, implemented in EMC/Greenplum and Teradata as a private cloud for internal implementation. \n
- Big data has such a vast size that it exceeds the capacity of traditional data management technologies; it requires the use of new or exotic technologies simply to manage the volume alone. But processing matters, too. A complex statistical model can make a 300 GB database seem bigger than a 110 TB database, even if both are running on multicore, distributed parallel processing platforms. Big data has quickly emerged as a significant challenge for IT leaders. The term only became popular in 2009. By February 2011, a Google search on "big data" yielded 2.9 million hits, and vendors now advertise their products as solutions to the big data challenge. Inquiries about big data from Gartner clients have risen sharply as well. \nMany new technologies are emerging, with the potential to be disruptive (e.g., in-memory DBMS), while others are hyped in the market and, although interesting, add no real value to the market (e.g., noSQL). Many new vendors are also emerging with this technology (see "Cool Vendors in Data Management and Integration, 2011" [G00211777]).\nIn addition to these, other new forces are coming into play. Analytics has become a major driving application for DW, with in-DBMS analytics (as delivered by Teradata and SAS, as well as others), use of MapReduce outside and inside the DBMS, and the use of self-service data marts, implemented in EMC/Greenplum and Teradata as a private cloud for internal implementation. \n
- Big data has such a vast size that it exceeds the capacity of traditional data management technologies; it requires the use of new or exotic technologies simply to manage the volume alone. But processing matters, too. A complex statistical model can make a 300 GB database seem bigger than a 110 TB database, even if both are running on multicore, distributed parallel processing platforms. Big data has quickly emerged as a significant challenge for IT leaders. The term only became popular in 2009. By February 2011, a Google search on "big data" yielded 2.9 million hits, and vendors now advertise their products as solutions to the big data challenge. Inquiries about big data from Gartner clients have risen sharply as well. \nMany new technologies are emerging, with the potential to be disruptive (e.g., in-memory DBMS), while others are hyped in the market and, although interesting, add no real value to the market (e.g., noSQL). Many new vendors are also emerging with this technology (see "Cool Vendors in Data Management and Integration, 2011" [G00211777]).\nIn addition to these, other new forces are coming into play. Analytics has become a major driving application for DW, with in-DBMS analytics (as delivered by Teradata and SAS, as well as others), use of MapReduce outside and inside the DBMS, and the use of self-service data marts, implemented in EMC/Greenplum and Teradata as a private cloud for internal implementation. \n
- Big data has such a vast size that it exceeds the capacity of traditional data management technologies; it requires the use of new or exotic technologies simply to manage the volume alone. But processing matters, too. A complex statistical model can make a 300 GB database seem bigger than a 110 TB database, even if both are running on multicore, distributed parallel processing platforms. Big data has quickly emerged as a significant challenge for IT leaders. The term only became popular in 2009. By February 2011, a Google search on "big data" yielded 2.9 million hits, and vendors now advertise their products as solutions to the big data challenge. Inquiries about big data from Gartner clients have risen sharply as well. \nMany new technologies are emerging, with the potential to be disruptive (e.g., in-memory DBMS), while others are hyped in the market and, although interesting, add no real value to the market (e.g., noSQL). Many new vendors are also emerging with this technology (see "Cool Vendors in Data Management and Integration, 2011" [G00211777]).\nIn addition to these, other new forces are coming into play. Analytics has become a major driving application for DW, with in-DBMS analytics (as delivered by Teradata and SAS, as well as others), use of MapReduce outside and inside the DBMS, and the use of self-service data marts, implemented in EMC/Greenplum and Teradata as a private cloud for internal implementation. \n
- Big data has such a vast size that it exceeds the capacity of traditional data management technologies; it requires the use of new or exotic technologies simply to manage the volume alone. But processing matters, too. A complex statistical model can make a 300 GB database seem bigger than a 110 TB database, even if both are running on multicore, distributed parallel processing platforms. Big data has quickly emerged as a significant challenge for IT leaders. The term only became popular in 2009. By February 2011, a Google search on "big data" yielded 2.9 million hits, and vendors now advertise their products as solutions to the big data challenge. Inquiries about big data from Gartner clients have risen sharply as well. \nMany new technologies are emerging, with the potential to be disruptive (e.g., in-memory DBMS), while others are hyped in the market and, although interesting, add no real value to the market (e.g., noSQL). Many new vendors are also emerging with this technology (see "Cool Vendors in Data Management and Integration, 2011" [G00211777]).\nIn addition to these, other new forces are coming into play. Analytics has become a major driving application for DW, with in-DBMS analytics (as delivered by Teradata and SAS, as well as others), use of MapReduce outside and inside the DBMS, and the use of self-service data marts, implemented in EMC/Greenplum and Teradata as a private cloud for internal implementation. \n
- Big data has such a vast size that it exceeds the capacity of traditional data management technologies; it requires the use of new or exotic technologies simply to manage the volume alone. But processing matters, too. A complex statistical model can make a 300 GB database seem bigger than a 110 TB database, even if both are running on multicore, distributed parallel processing platforms. Big data has quickly emerged as a significant challenge for IT leaders. The term only became popular in 2009. By February 2011, a Google search on "big data" yielded 2.9 million hits, and vendors now advertise their products as solutions to the big data challenge. Inquiries about big data from Gartner clients have risen sharply as well. \nMany new technologies are emerging, with the potential to be disruptive (e.g., in-memory DBMS), while others are hyped in the market and, although interesting, add no real value to the market (e.g., noSQL). Many new vendors are also emerging with this technology (see "Cool Vendors in Data Management and Integration, 2011" [G00211777]).\nIn addition to these, other new forces are coming into play. Analytics has become a major driving application for DW, with in-DBMS analytics (as delivered by Teradata and SAS, as well as others), use of MapReduce outside and inside the DBMS, and the use of self-service data marts, implemented in EMC/Greenplum and Teradata as a private cloud for internal implementation. \n
- Big data has such a vast size that it exceeds the capacity of traditional data management technologies; it requires the use of new or exotic technologies simply to manage the volume alone. But processing matters, too. A complex statistical model can make a 300 GB database seem bigger than a 110 TB database, even if both are running on multicore, distributed parallel processing platforms. Big data has quickly emerged as a significant challenge for IT leaders. The term only became popular in 2009. By February 2011, a Google search on "big data" yielded 2.9 million hits, and vendors now advertise their products as solutions to the big data challenge. Inquiries about big data from Gartner clients have risen sharply as well. \nMany new technologies are emerging, with the potential to be disruptive (e.g., in-memory DBMS), while others are hyped in the market and, although interesting, add no real value to the market (e.g., noSQL). Many new vendors are also emerging with this technology (see "Cool Vendors in Data Management and Integration, 2011" [G00211777]).\nIn addition to these, other new forces are coming into play. Analytics has become a major driving application for DW, with in-DBMS analytics (as delivered by Teradata and SAS, as well as others), use of MapReduce outside and inside the DBMS, and the use of self-service data marts, implemented in EMC/Greenplum and Teradata as a private cloud for internal implementation. \n
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