Anmerkungen:

• Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. ...

1. Characterstics
   1. Volume

      Anmerkungen:

      • Volume reffers to the amount of data
   2. Velocity

      Anmerkungen:

      • Data is streaming in at unprecedented speed and must be dealt with in a timely manner. 
   3. Variety

      Anmerkungen:

      •  Data today comes in all types of formats. Structured, numeric data in traditional databases. Information created from line-of-business applications. Unstructured text documents, email, video, audio..
2. Importance
   1. Cost reductions
   2. Time reductions
3. Techniques
   1. NoSql

      Anmerkungen:

      • NoSQL encompasses a wide variety of different database technologies and were developed in response to a rise in the volume of data stored about users, objects and products, the frequency in which this data is accessed, and performance and processing needs. Relational databases, on the other hand, were not designed to cope with the scale and agility challenges that face modern applications, nor were they built to take advantage of the cheap storage and processing power available today.
      1. Benefits of NoSQL

         Anmerkungen:

         • Large volumes of structured, semi-structured, and unstructured data Agile sprints, quick iteration, and frequent code pushes Object-oriented programming that is easy to use and flexible Efficient, scale-out architecture instead of expensive, monolithic architectu
   2. Structured

      Anmerkungen:

      •    Data Warehousing   
   3. Un Structured

      Anmerkungen:

      • File System
   4. WibiDATA

      Anmerkungen:

      • WibiData is a software company that develops Big Data Applications.
   5. Platfora

      Anmerkungen:

      • Platfora describes its user-friendly widgetry as the first scale-out in-memory business intelligence platform for Hadoop.
4. Data uses
   1. GOOGLE

      Anmerkungen:

      • Google processes 20 PB a day 
   2. FACEBOOK

      Anmerkungen:

      • Facebook has 2.5 PB of user data + 15 TB/day 
   3. E-BAY

      Anmerkungen:

      • eBay has 6.5 PB of user data + 50 TB/day 
   4. RFID

      Anmerkungen:

      • RFID (radio frequency ID) systems generate up to 1,000 times the data of conventional bar code systems.
   5. VISA

      Anmerkungen:

      • VISA processes more than 172,800,000 card transactions each day.
   6. United Parcel Service

      Anmerkungen:

      • United Parcel Service receives on average 39.5 million tracking requests from customers per day.
   7. Mobile Phones

      Anmerkungen:

      • More than 5 billion people are calling, texting, tweeting and browsing websites on mobile phones
5. Examples

   Anmerkungen:

   • Browsers Oracle Amazon IBM Microsoft