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1. BIG DATA
2. Pull and push technology
3. implication(s) of BIG DATA on push and pull technology?
Term for a collection of large
data sets that becomes
difficult to process using on-
hand database management
tools or traditional data
processing applications.
• Big data is arriving from multiple sources at an alarming volume, variety and
velocity
Volume
• Data size (large quantity of data)
Variety
• Data sources (type of data)
Velocity
• Speed of change in which the data is
processed
• The term big data is believed to have originated with web
search companies who needed to query very large
distributed aggregations of loosely-structured data.
Example of big data:
• might be Petabytes (1,024 terabyte) or Exabyte (1,024
petabytes) of data consisting of billions to trillions of
records of millions of people – all from different sources
(e.g web, sales, customer contact center, social media,
mobile data).The data is typically loosely structured data
that is often incomplete and inaccessible.Megabyte
Kilobyte
Gigabyte
Terabyte
Petabyte
Zettabyte
Yottabyte
Exabyte
This technology has been utilised for quite sometimes. However, what is the recent development in the
technology?
Pull Push
Dominant Platform Search Social
Dominant Platform Company Google Facebook
Growth Era 2000s 2010s
Successful Content Type Utilities Media
Content Durability Stock Flow
Successful Publishers TripAdvisor, Wikipedia, Yelp, & many
more
tbd
Marketing Activity links and algorithms shares and people
What is Push Technology ?
- Data or information is generated by server or publisher.
-Push is when you are using the internet in a more passive way and content comes to you.
(Data is sent without request from the user)
-Major companies use push technology are BackWeb, Netscape, Microsoft.
Example –
- Magazines and newspapers delivered on a regular schedule by subscription.
- Updating of news, weather, stock market or other selected information on a computer
user’s desktop interface.
- The sender send (pushes) the message to the receiver without being request by the user.
What is Pull Technology ?
- Data or information is request by client.
- WWW is based on pull technology, because a webpage is not delivered until the browser
request it.
- Pull is when you are seeking information, usually an answer to a question.
- Major companies like Yahoo, Hotmail, Google use pull technology to manage their webpage
access requested by the users.
- The successful websites of this era were mostly information utilities such as Wikipedia, Yelp,
and TripAdvisor.
Example –
- Magazine or newspaper browsed at the newsstand.
- Downloading Web pages via a Web browser
- Getting mail if the user initiates a request to retrieve it.
1. Takes longer time do send automatic updates to the user.
-Example: It takes longer time to send additional update files for game to the user’s device.
2. No real-time
- Information cannot be deliver to the user immediately
- Example: When user watch TV3 Buletin Utama through internet, it keeps on buffering trying to
load all the multimedia content. The news broadcast on the screen is not at the same speed as
they would actually broadcast.
- Other example: Automatic updates for weather on user’s computer desktop or mobile device is
not done in real-time.
3. Missing Information/ incomplete data
1. Takes longer time do download
- When user request do download games, or videos from the browser, it takes
longer time to download into their devices because of large multimedia file data.
• https://www.techopedia.com/2/30575/trends/big-data/big-datas-
key-challenges
• https://www.techopedia.com/2/31175/trends/big-data/what-big-
data-trends-are-on-the-horizon
• https://www.techopedia.com/2/31298/trends/big-data/big-data-in-
the-cloud-how-secure-is-our-data
• http://www.library.ca.gov/crb/97/notes/v4n6.pdf

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Big data

  • 1.
  • 2. 1. BIG DATA 2. Pull and push technology 3. implication(s) of BIG DATA on push and pull technology?
  • 3.
  • 4. Term for a collection of large data sets that becomes difficult to process using on- hand database management tools or traditional data processing applications.
  • 5. • Big data is arriving from multiple sources at an alarming volume, variety and velocity Volume • Data size (large quantity of data) Variety • Data sources (type of data) Velocity • Speed of change in which the data is processed
  • 6. • The term big data is believed to have originated with web search companies who needed to query very large distributed aggregations of loosely-structured data. Example of big data: • might be Petabytes (1,024 terabyte) or Exabyte (1,024 petabytes) of data consisting of billions to trillions of records of millions of people – all from different sources (e.g web, sales, customer contact center, social media, mobile data).The data is typically loosely structured data that is often incomplete and inaccessible.Megabyte Kilobyte Gigabyte Terabyte Petabyte Zettabyte Yottabyte Exabyte
  • 7.
  • 8.
  • 9. This technology has been utilised for quite sometimes. However, what is the recent development in the technology? Pull Push Dominant Platform Search Social Dominant Platform Company Google Facebook Growth Era 2000s 2010s Successful Content Type Utilities Media Content Durability Stock Flow Successful Publishers TripAdvisor, Wikipedia, Yelp, & many more tbd Marketing Activity links and algorithms shares and people
  • 10.
  • 11. What is Push Technology ? - Data or information is generated by server or publisher. -Push is when you are using the internet in a more passive way and content comes to you. (Data is sent without request from the user) -Major companies use push technology are BackWeb, Netscape, Microsoft. Example – - Magazines and newspapers delivered on a regular schedule by subscription. - Updating of news, weather, stock market or other selected information on a computer user’s desktop interface. - The sender send (pushes) the message to the receiver without being request by the user.
  • 12.
  • 13.
  • 14. What is Pull Technology ? - Data or information is request by client. - WWW is based on pull technology, because a webpage is not delivered until the browser request it. - Pull is when you are seeking information, usually an answer to a question. - Major companies like Yahoo, Hotmail, Google use pull technology to manage their webpage access requested by the users. - The successful websites of this era were mostly information utilities such as Wikipedia, Yelp, and TripAdvisor. Example – - Magazine or newspaper browsed at the newsstand. - Downloading Web pages via a Web browser - Getting mail if the user initiates a request to retrieve it.
  • 15.
  • 16.
  • 17. 1. Takes longer time do send automatic updates to the user. -Example: It takes longer time to send additional update files for game to the user’s device. 2. No real-time - Information cannot be deliver to the user immediately - Example: When user watch TV3 Buletin Utama through internet, it keeps on buffering trying to load all the multimedia content. The news broadcast on the screen is not at the same speed as they would actually broadcast. - Other example: Automatic updates for weather on user’s computer desktop or mobile device is not done in real-time. 3. Missing Information/ incomplete data
  • 18. 1. Takes longer time do download - When user request do download games, or videos from the browser, it takes longer time to download into their devices because of large multimedia file data.
  • 19. • https://www.techopedia.com/2/30575/trends/big-data/big-datas- key-challenges • https://www.techopedia.com/2/31175/trends/big-data/what-big- data-trends-are-on-the-horizon • https://www.techopedia.com/2/31298/trends/big-data/big-data-in- the-cloud-how-secure-is-our-data • http://www.library.ca.gov/crb/97/notes/v4n6.pdf