Big data is the ocean of information we swim in every day – massive zettabytes of data flowing from our computers, mobile devices and machine sensors. Perhaps the biggest surprise is the very diversity of the uses of big data and how it is already changing people’s everyday world.
Many people see big data through the lens of the Internet economy, since Google and Facebook have so much data. But that misses the point: big data is everywhere.
According to Domo, every minute…
- Facebook Messenger users share 216,302 photos.
- Twitter users send 9,678 emoji-filled tweets.
- Instagram users like 2,430,555 posts.
- YouTube users share 400 hours of new video content.
- Snapchat users watch 6,944,444 videos.
- 3,567,850 text messages are sent in the U.S.
- Siri answers 99,206 requests.
- Amazon makes $222,283 in sales.
Big data: Interesting facts and figures
- It took from the dawn of civilization to the year 2003 for the world to generate 1.8 zettabytes (10 to the 12th gigabytes) of data. In 2011, it took two days on average to generate the same amount of data.
- In the year 2011 there were 12 million RFID tags sold worldwide. That number is projected to be 209 billion by 2021.
- There are 750 million photos uploaded to Facebook every two days.
- 1/3 of all data will be stored in or pass through the cloud by the year 2020 and will amount to 35 zettabytes of combined data.
- There are almost as may bits of information in the digital universe as there are stars in our real universe.
- There are over 247 billion email messages sent each day. Up to 80% of them are spam.
- 48 hours of video are uploaded to YouTube every minute, resulting in 8 years’ worth of digital content each day.
- The world’s data doubles every two years.
- Oil drilling platforms have 20,000 to 40,000 sensors.
- The number of text messages sent and received every day exceeds the population of the planet.
- Twitter processes 7 terabytes of data every day.
- Facebook processes 10 terabytes of data every day.
- Decoding the human genome took 10 years to process; now it can be accomplished in one week.
- 571 new websites are created every minute of the day.
- U.S. drone aircraft sent back 24 years with of video footage in 2009.
- Google has over 3 million servers processing over 1.7 trillion searches per year in 2011 (22 million in 2000).
- Data centers consume up to 1.5 percent of all the electricity in the world.
Data never sleeps
Big data applications enhance user experience: They are beginning to enhance user experience by predicting what actions a user would prefer next, a concept derived from the need for increasingly dynamic web-based applications.
Internet of Things and its widespread usage: Requirements are pushed further by the wide adoption of mobile technologies and the emergence of the IoT. The Internet giants of today (Amazon, Facebook, Google, Yahoo) are all massive big data consumers. Some even describe Google as perpetually futuristic, relative to everyone else.
Google uses accumulated data to develop models: Google Trends is probably the most approachable method of using big data. Google uses its treasure trove of accumulated data to develop models that learn from users and offer more relevant search results.
Big data helps manage unstructured data: Big data analytics also brings unstructured data into the fold, information gleaned from social media feeds, blogs, videos and other sources. Sorting through this information would have helped the airline answer a big-picture question that companies have struggled for decades to answer: How do we treat all of our customers like rock stars?
Hadoop helps big data to construct predictive models: Consumer-facing websites, from online banking to e-commerce, use data collected in systems like Hadoop in order to construct predictive models that help business understand how a user will behave in response to a specific offer or content. Because these models rely heavily on massive amounts of data, these new enhanced applications can be dubbed big data applications.
Data can only suggest trends, validate claims and reduce the amount of human error in decision-making processes. But, let’s face it. It’s still the human decisions and human strategies that turn the wheel.
When it comes to managing data, don’t look at backup and archiving systems as burdens and cost centers. A well-designed archive can enhance data protection and restores, ease search and e-discovery efforts and save money by intelligently moving data from expensive primary storage systems. Technologies like NoSQL, MPP databases and Hadoop have emerged to address big data challenges and to enable new types of products and services to be delivered by the business.
Big data is transforming how we understand the world, do business and implement public policy. As more companies realize the worth of implementing big data strategies, more services will emerge to support them.
Big data will forge the last links of the value chain that will help companies drive more operational efficiencies from existing investments. The bottom line is: Big data is big. It is here to stay. And it’s only getting bigger.
- December 2020(10)
- November 2020(59)
- October 2020(79)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(26)
- September 2019(24)
- August 2019(15)
- July 2019(24)
- June 2019(55)
- May 2019(82)
- April 2019(77)
- March 2019(71)
- February 2019(67)
- January 2019(77)
- December 2018(46)
- November 2018(48)
- October 2018(76)
- September 2018(55)
- August 2018(63)
- July 2018(74)
- June 2018(64)
- May 2018(65)
- April 2018(76)
- March 2018(82)
- February 2018(65)
- January 2018(80)
- December 2017(71)
- November 2017(72)
- October 2017(75)
- September 2017(65)
- August 2017(97)
- July 2017(111)
- June 2017(87)
- May 2017(105)
- April 2017(113)
- March 2017(108)
- February 2017(112)
- January 2017(109)
- December 2016(110)
- November 2016(121)
- October 2016(111)
- September 2016(123)
- August 2016(169)
- July 2016(142)
- June 2016(152)
- May 2016(118)
- April 2016(60)
- March 2016(86)
- February 2016(154)
- January 2016(3)
- December 2015(150)