- published: 26 Nov 2015
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Data (/ˈdeɪtə/ DAY-tə, /ˈdætə/ DA-tə, or /ˈdɑːtə/ DAH-tə) is a set of values of qualitative or quantitative variables; restated, pieces of data are individual pieces of information. Data is measured, collected and reported, and analyzed, whereupon it can be visualized using graphs or images. Data as a general concept refers to the fact that some existing information or knowledge is represented or coded in some form suitable for better usage or processing.
Raw data, i.e. unprocessed data, is a collection of numbers, characters; data processing commonly occurs by stages, and the "processed data" from one stage may be considered the "raw data" of the next. Field data is raw data that is collected in an uncontrolled in situ environment. Experimental data is data that is generated within the context of a scientific investigation by observation and recording.
The Latin word "data" is the plural of "datum", and still may be used as a plural noun in this sense. Nowadays, though, "data" is most commonly used in the singular, as a mass noun (like "information", "sand" or "rain").
Evolution is change in the heritable traits of biological populations over successive generations. Evolutionary processes give rise to diversity at every level of biological organisation, including the levels of species, individual organisms, and molecules.
All life on Earth shares a common ancestor known as the last universal ancestor, which lived approximately 3.5–3.8 billion years ago, although a study in 2015 found "remains of biotic life" from 4.1 billion years ago in ancient rocks in Western Australia. According to one of the researchers, "If life arose relatively quickly on Earth ... then it could be common in the universe."
Repeated formation of new species (speciation), change within species (anagenesis), and loss of species (extinction) throughout the evolutionary history of life on Earth are demonstrated by shared sets of morphological and biochemical traits, including shared DNA sequences. These shared traits are more similar among species that share a more recent common ancestor, and can be used to reconstruct a biological "tree of life" based on evolutionary relationships (phylogenetics), using both existing species and fossils. The fossil record includes a progression from early biogenic graphite, to microbial mat fossils, to fossilized multicellular organisms. Existing patterns of biodiversity have been shaped both by speciation and by extinction. More than 99 percent of all species that ever lived on Earth are estimated to be extinct. Estimates of Earth's current species range from 10 to 14 million, of which about 1.2 million have been documented.
Ciara: The Evolution (simply known as The Evolution) is the second studio album by American recording artist Ciara, released on December 5, 2006, by LaFace Records. The album is separated into five sections, with each showcasing a different side of Ciara's artistry. The first features crunk&B and uptempo records, which mainly deal with feminine independence, while its successor, entitled The Evolution of Music features ballads dealing with the positives and struggles of love. The Evolution of Dance features dance tracks, The Evolution of Fashion deals with self-expression, while the last, entitled The Evolution of C, features tracks that discuss how Ciara has evolved as a person since the start of her career.
The album was seen as a coming of age project for the singer, as it featured songs with more substance than her last effort. It deals with Ciara's experiences after being in the public eye for the two years prior to the album's release. The tracks are also said to be geared toward a more urban audience. Ciara was the executive producer of the album and enlisted production from Phillana Williams, Antwoine Collins, Brian Kennedy, Bryan-Michael Cox, Calvo Da Gr8, Dallas Austin, Jazze Pha, Kendrick Dean, Lil Jon, Mr. Collipark, The Neptunes, Polow da Don, Rodney Jerkins, The Clutch, will.i.am, among others, and featured guest appearances from 50 Cent and Chamillionaire. Ciara also co-wrote and co-produces most of the songs.
Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying and information privacy. The term often refers simply to the use of predictive analytics or certain other advanced methods to extract value from data, and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision making, and better decisions can result in greater operational efficiency, cost reduction and reduced risk.
Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on." Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data sets in areas including Internet search, finance and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics,connectomics, complex physics simulations, biology and environmental research.
Resident Evil, known as Biohazard (バイオハザード, Baiohazādo) in Japan, is an action, adventure, horror fiction video game based media franchise created by Shinji Mikami and owned by the video game company Capcom. The franchise focuses around a series of survival horror video games, but has since branched out into comic books, novels and novelizations, sound dramas, a series of live-action films and animated sequels to the games, and a variety of associated merchandise, such as action figures. The overarching plot of the series focuses on multiple characters and their roles in recurring outbreaks of zombies and other monsters, initially due to the release of the T-virus, a biological weapon created by the fictional Umbrella Corporation.
The eponymous first game in the series was released in 1996 as a survival horror video game, but the franchise has since grown to encompass other video game genres. The series is a mix of action and horror film-inspired plotlines, exploration and puzzle solving, but from Resident Evil 4 onwards, the main series took a more third-person shooter approach with fewer puzzles and greater emphasis on gunplay and weapons upgrading. As of 2015, the video game series has sold 61 million units worldwide. It has become Capcom's biggest franchise in terms of sales and marked the start of the "survival horror" genre, which was already influenced by earlier efforts such as Sweet Home (also by Capcom) and the Alone in the Dark series.
Evolution of Big Data
Keynote: Data Center Evolution
Data In Motion | The Evolution of Data
Evolution of Operating Systems (iOS, Playstation, Nintendo)
THE EVOLUTION OF ONLINE VIDEO... IN 6 RAP STYLES! | Dan Bull
Evolution of Video Game Graphics 1962-2017 (4K 60FPS)
The Next Evolution of Data (Linked Data) & Understanding The Types of Big Data!
03 The Evolution of Data Modeling
Modeling Cancer Evolution from Genomic Data
The next evolution in data centres
Evolution of Business Intelligence
Lec05 暖身篇 The Evolution Of Data Architecture – Future
The 146th Open - Evolution of NTT DATA Wall
Evolution of Data Security, Cybersecurity, and Threat Environment
The Evolution of Data Processing at Spotify by Erin Palmer | DataEngConf NYC '16
B.O.W. Battle Data - Zombie Evolution (Resident Evil)
Evolution of Big Data
The Evolution of the Data Scientist. How to survive in the Data Science jungle
Data Evolution
GSM EVOLUTION
Keynote: Data Center Evolution | Ihab Tarazi, CTO, Equinix Get the latest on SDN & NFV. Access more than 175 recorded sessions from Open Networking Summit 2016: http://bit.ly/watchONS2016
Data in Motion represents the continuous interactions between people, process, data and things to drive real-time data discovery. Learn how Cisco is bringing the evolution of Data to the #InternetofEverything: http://cs.co/jlbYTd1m. Subscribe to Cisco's YouTube channel: http://cs.co/Subscribe.
4096's YouTube: https://goo.gl/c78tUP This video is showing off a compilation of some amazing animated videos created by 4096. Witness the evolution of iOS, Windows, Playstation and Nintendo. Subscribe to 4096 for more! Creator Rising is a new show from Data Radar designed to promote talented youtube creators, comment on this video if you are interested and feel like your content has what it takes! gameplay sony psp 3ds xbox one
To celebrate the Free Data Boosts you get when topping up with pay as you go, I worked with EE on this video showing the evolution of video streaming as we head towards bigger and bigger bandwidth demands and possibilities. Find out more Free Data Boosts (and how you can get more data the longer you are with EE) here: http://shop.ee.co.uk/plans-and-packs/pay-as-you-go-packs @EE #FreeDataBoosts ► Hi, I'm Dan Bull! Subscribe for more gamey rap: https://youtube.com/douglby ► Hear all my songs in my mega Spotify playlist: http://spoti.fi/1QWwSQR ► Get the song on iTunes: (soon) ► Google Play: (soon) ► Dan Bull main channel: http://youtube.com/douglby MORE DAN BULL: ► FB: http://fb.com/itsDanBull ► Twitter: http://twitter.com/itsDanBull ► Spotify: http://spoti.fi/1vYoEkB ► T-shirts, hats & lo...
Real life is starting to look pixelated. Video Games: 1962: Soacewar 1972: Pong 1973: Space Race 1974: Tv Basketball 1975: Gun Fight 1976: Death Race 1977: Canyon Bomber 1978: Space Invaders 1979: Speed Freak 1980: Pacman 1981: Donkey Kong 1982: Pole Position 1983: Tapper 1984: Duck Hunt 1985: Super Mario Bros. 1986: The Legend of Zelda 1987: Street Fighter 1988: Galaxy Force 2 1989: Prince of Persia 1990: Mickey Mouse Castle of Illusion 1991: Sonic The Hedgehog 1992: Mortal Combat 1993: Doom 1994: Tekken 1995: Time Crisis 1996: Quake 1997: Gran Turismo 1997: Grand Theft Auto 1998: Half Life 1999: Unreal Tournament 2000: Tony Hawk's Pro Skater 2 2001: Max Payne 2002: Hitman 2: Silent Assassin 2003: Tom Clancy's Splinter Cell 2004: Half-Life 2 2005: Grand Theft Auto San Andreas 2006: T...
This video is the second in a three part series discussing big data. In this video, we’ll be discussing how we can utilize the vast quantities of data being generated as well as the implications of linked data on big data. [0:33-4:43] - Starting off we'll look at, what exactly big data is and delving deeper into the types of data, structured and unstructured and how they will be analyzed both by humans and machine learning (AI). [4:43-11:37] - Following that we'll discuss, how this data will be put to use and the next evolution of data, linked data, and how it will change the world and the web! [11:37-12:37] - To conclude we'll briefly overview the role cloud computing will play with big data! Subscribe ➤ http://subscribe.singularityprosperity.com/youtube Check Out Our Website ➤ htt...
Niko Beerenwinkel, ETH Zürich Computational Cancer Biology https://simons.berkeley.edu/talks/niko-beerenwinkel-02-01-2016
Liquid Telecom has launched an Africa data centre business, with true Tier 3 open access data centres in Johannesburg and Cape Town in South Africa, in Nairobi, Kenya in East Africa and in Harare, Zimbabwe in central Africa.
An evolution has been taking place in the world of business intelligence and analytics over the past few years. As this continues to evolve over time, the self-service data prep and analytics function exposes those new data sources and new technologies directly to the people who are asking questions of the data in the business, thereby providing an environment where business users and IT are collectively much more productive and agile.
講者:軟體工程師 莊偉赳先生 巨量資料分析之暖身篇 YouTube Playlist:https://www.youtube.com/playlist?list=PLj6E8qlqmkFv1rlU7BGntOGe_RFnrv9Ip 課程資訊: 授權條款:Creative Commons BY-NC-SA 3.0 更多課程歡迎瀏覽交大開放式課程網站:http://ocw.nctu.edu.tw/
The NTT DATA Wall made immersive progress to bring innovative experience to the spectators at Royal Birkdale. Every single shot were brought to life in real-time. Fans could obtain in-depth analysis of all the action and the race to win the claret jug. NTT DATA Wall had a new challenge to extend its presentation via other device with the latest IT, AR technology. NTT DATA Wall is becoming ready to be enjoyed by tens of thousands of fans followed online from work, on the move, and from all around the world.
The first video introduces the two-part series, and covers the evolution of data security, defines cybersecurity, and reviews the current cybersecurity threat environment.
Don’t miss the next DataEngConf in San Francisco: https://dataeng.co/2oi8ogi Download slides for this talk: https://goo.gl/rRnH8M Pre-register for DataEngConf SF '18: https://dataeng.co/2BDF1Li ABOUT THE TALK: In Spotify Creator we strive to provide artists an accurate view of what their fan base is. We crunch numbers for 100 Million platform monthly active users daily and compute dashboards for millions of artists. As a result we process terabytes of data daily and condense it to about ~200 GB of data. In this talk we will discuss the evolution of our pipelines and how we made them more resilient to the irregularities of data as well as external failures. ABOUT THE SPEAKER: Erin Palmer is an applied data scientist at Spotify and software engineer with over 6 years industry experience...
B.O.W. Battle Data - Zombie Evolution is an info video on the T-Virus zombies and their two possible mutations through the process of V-ACT in CAPCOM's Resident Evil game series. Excluded from B.O.W. Battle Data - Zombie Evolution are the Regis Licker from Resident Evil - Outbreak and the C-Virus zombies from Resident Evil 6. The Regis Licker is considered unique, as she has not gone through a full-fledged transformation from T-Virus zombie to Licker. The zombies from Resident Evil 6 are humans infected by the C-Virus, a completely separate strain that follows its own series of mutations and variants. Times: Zombie (T-Virus) 00:56 Crimson Head 01:56 Licker 02:58
http://data-evolution.eu Data Evolution takes care of safe data transfer of info but also takes care of electronic signing of privacy-sensitive documents through Secure Email, Secure MMS and Secure SMS. Secure calls from mobile to mobile, anywhere in the world through: GPRS, EDGE, 3G, WiFi (VoIP), BGAN Satellite Here are some of the services we offer: Secure Data Transfer, Mobile Pen and Key, ID Protection and Secure Mobile Banking. Visit our website for more information.
This video gives the information about gsm technologies evolution to 3G-- Created using PowToon -- Free sign up at http://www.powtoon.com/join -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Keynote: Data Center Evolution | Ihab Tarazi, CTO, Equinix Get the latest on SDN & NFV. Access more than 175 recorded sessions from Open Networking Summit 2016: http://bit.ly/watchONS2016
The first video introduces the two-part series, and covers the evolution of data security, defines cybersecurity, and reviews the current cybersecurity threat environment.
Don’t miss the next DataEngConf in San Francisco: https://dataeng.co/2oi8ogi Download slides for this talk: https://goo.gl/rRnH8M Pre-register for DataEngConf SF '18: https://dataeng.co/2BDF1Li ABOUT THE TALK: In Spotify Creator we strive to provide artists an accurate view of what their fan base is. We crunch numbers for 100 Million platform monthly active users daily and compute dashboards for millions of artists. As a result we process terabytes of data daily and condense it to about ~200 GB of data. In this talk we will discuss the evolution of our pipelines and how we made them more resilient to the irregularities of data as well as external failures. ABOUT THE SPEAKER: Erin Palmer is an applied data scientist at Spotify and software engineer with over 6 years industry experience...
Thonas Bentley - Have You Swallowed the Hook - Presentation 2 - Only evolution fits the data
Niko Beerenwinkel, ETH Zürich Computational Cancer Biology https://simons.berkeley.edu/talks/niko-beerenwinkel-02-01-2016
Google I/O 2009 - Evolution of the Google Data Protocol: New Features for Building more Efficient Applications Sven Mawson -- Contents -- 0:29 - GData Intro 2:42 - Photo Shuffler Demo 4:04 - JSON Background 8:48 - JSON Problems 10:36 - Introducing JSONC 16:26 - JSONC Stats 17:48 - RESTful Updates Background 20:40 - Introducing Partial GET 25:43 - Partial GET Stats 27:23 - Conditional GET Background 30:00 - Introducing ETags 32:31 - ETag Stats 36:20 - Coming Soon: JSONC Write 38:25 - Coming Soon: Partial Patch 40:12 - Q&A; -- End -- Recently, Google Data APIs have implemented new technologies in order to make applications and communications with Google Data APIs more efficient. We'll present these new technologies, including ETags, Partial Get and Update, and a n...
Have you heard the saying “only evolution fits the data”? It is repeated throughout the scientific world, but as we see in this video, it is not true. Evolutionists have three main arguments: random mutation, natural selection, and time. Thomas Bentley debunks the veracity of each of these arguments, and reveals many instances of falsified scientific data and incorrect theories. See how evolutionists have planted a seed of doubt in our minds, causing many to believe in evolution when there is no hard evidence and every seeming proof has been disproven. So is it only evolution that fits the data? What if mankind has created or imagined false data to match their theories? Bentley explores the possibility that evolutionists rely solely on imagination in lieu of facts and science. Thomas Bentl...
The convergence of molecular biology, informatics, sensor and mobile device technologies and social media is forging a new era of precision medicine in which large scale data on disease processes in individuals and populations, their environments and their behavior will enable disease detection, treatment and prevention to be based increasingly on individual-specific (personalized) parameters to achieve better health outcomes at lower cost. The long term trajectory for precision medicine will progressively shift the focus of care from the current episodic, reactive responses to illness to proactive, continuous real-time monitoring of health status for earlier detection of disease, improved treatment compliance and other risk reduction strategies to prioritize maintaining health versus mana...
How will social science research and teaching evolve to meet the challenges and opportunities big data creates? How can we bring down barriers to make this new computational social science accessible for all social researchers? That was the subject of a panel discussion SAGE Publishing held in conjunction with the Campaign for Social Sciences as part of the ESRC Festival of Social Sciences 2016. The November 9 panel, titled Big Data, Social Media Research and Innovations in Research Methods, was chaired by Marth Sedgwick and featured guests Sharon Witherspoon, head of policy, Academy of Social Sciences and Campaign for Social Science; Luke Sloan, senior lecturer at Cardiff University and deputy director of Cardiff Q-Step; and Mark Kennedy, director of the KPMG Centre for Business Analytics...
Join Tyler Akidau for a whirlwind tour of the conceptual building blocks of massive-scale data processing systems over the last decade, as Tyler compares and contrasts systems at Google with popular open source systems in use today. Tyler explores the evolution of massive-scale data processing at Google, from the original MapReduce paradigm to the high-level pipelines of Flume to the streaming approach of MillWheel to the unified streaming/batch model of Cloud Dataflow. Along the way, Tyler examines in detail the basic architectural concepts that underlie the four models—highlighting their similarities, contrasting their differences (particularly regarding traditional batch versus streaming), and providing insight into the use cases that drove the progression of the designs to what exists...
Maxim Tereschenko (BigData Lead, Provectus) For the last ten years, analytical systems have changed dramatically. From Excel and Data Warehouses, we came to Big Data platforms and Data Lakes. It is no longer fantasy to communicate with the analytical system by voice or to wander in 3D glasses among the visualizations of the data. In scope of the speech, I want to follow this evolution, identify its main trends and fantasize about the future.
This is a must-see event that is sure to offer compelling discussion, insights and various use cases for how publishers, agencies and clients can leverage "Big Data". Moderated by Jeff Hochberg of AOL and panelists include Jon Beebe of General Motors, John Gray of Team Detroit, Eric Roza of Datalogix, Doug Pollack of Lotame and Peter Foster of Yahoo! 313Digital.org: http://bit.ly/T5rZgs Facebook: http://on.fb.me/VQNS1r Twitter: http://bit.ly/XI0QfQ LinkedIn: http://linkd.in/XPtCvM
In this webinar, hear from Joseph di Paolantonio, industry expert working at the convergence of IoT with data management and analytics, where he discusses recommendations on gaining advantage through the latest IoT data management technologies and business processes. how Alan Leung, Sr. Enterprise System Program Manager at Box, architected and implemented Box's connected infrastructure of SaaS applications like Salesforce and Zuora, and cloud data stores such as Amazon Web Services.
Big data. What is big data and what value does big data offer? The big data explosion has been building up for decades. It can be argued that it started with big data from ERP applications designed to run your business. Manufacturing applications, logistics, shipping and accounting applications for example. The big data evolution grew during the 90's with data warehouses and business intelligence solutions. Today, the big data evolution encompasses big data from outside data sources as well as web based applications such as social media. This informational big data training webinar is perhaps the most encompassing description of big data.