1. B IG D ATA : S TORAGE, A NALYSIS AND I MPACT Justinas Bisikirskas 1

2. W HAT IS IT ? Some things that are so big that they have implications for everyone, whether we want it or not. Big Data is one of those things, and is completely transforming the way we do business and is impacting most other parts of our lives. The basic idea behind the phrase 'Big Data ' is that everything we do is increasingly leaving a digital trace (or data), which we (and others) can use and analyze. Big Data therefore refers to our ability to make use of the ever- increasing volumes of data 2

3. Exabyte (EB)= 1000 PT = 1 million TB “From the dawn of civilization until 2003, humankind generated five exabytes of data. Now we produce five exabytes every two days…and the pace is accelerating.” Eric Schmidt, Executive Chairman, Google 3

4. W HAT K IND OF D ATA ? Activity Data Conversation Data Photo and Video Image Data Sensor Data The Internet of Things Data 4

5. B IG D ATA : 4 V S With the datafication comes big data, which is often described using the four Vs: Volume Velocity Variety Veracity 5

6. V OLUME … …refers to the vast amounts of data generated every second. We are not talking Terabytes but Zettabytes or Brontobytes. If we take all the data generated in the world between the beginning of time and 2008, the same amount of data will soon be generated every minute. New big data tools use distributed systems so that we can store and analyze data across databases that are dotted around anywhere in the world. 6

7. V ELOCITY … …refers to the speed at which new data is generated and the speed at which data moves around. Just think of social media messages going viral in seconds. Technology allows us now to analyze the data while it is being generated (sometimes referred to as in- memory analytics), without ever putting it into databases. 7

8. V ARIETY … …refers to the different types of data we can now use. In the past we only focused on structured data that neatly fitted into tables or relational databases, such as financial data. In fact, 80% of the world’s data is unstructured (text, images, video, voice, etc.) With big data technology we can now analyze and bring together data of different types such as messages, social media conversations, photos, sensor data, video or voice recordings. 8

9. V ERACITY … …refers to the messiness or trustworthiness of the data. With many forms of big data quality and accuracy are less controllable. 9

10. S HIFT FROM A NALYTIC AND S YNTHETIC T RUTHS Analytic truth - one that can be derived from a logical argument; Synthetic truth - one that can only be determined from empirical evidence or external data; Google collects and synthesizes previous click streams and link data to predict what future users will want to see in search results 10

11. T URNING B IG D ATA INTO V ALUE : 11

12. E XAMPLE : C ATAPULT For taking the guesswork out of injury prevention 12

13. E XAMPLE : GE Aviation Fuel Management Aircraft Engine Monitoring Transportation Locomotive Maintenance Trip Optimization Water and Chemical Processing Water & Process Insight 13

14. N O L IMITS But the applications of Big Data are endless ! Currently we are only seeing the beginnings of a transformation into a big data economy. Any business that doesn’t seriously consider the implications of Big Data runs the risk of being left behind… 14

15. Q UESTIONS What is Big Data? What value can we get from Big Data? What technologies are used for storing/analyzing Big Data? How Big Data changes the way we get answers or discover new things? List some of the examples of Big Data solutions? 15