big data
DESCRIPTION
Business executives sometimes ask us, “Isn’t ‘big data’ just another way of saying ‘analytics’?” It’s true that they’re related: The big data movement, like analytics before it, seeks to glean intelligence from data and translate that into business advantage.TRANSCRIPT
Big DataBig DataH o wH o w
is changing the world is changing the world
““อภิ�มหาข้�อมลอภิ�มหาข้�อมล””
Thanakrit Lersmethasakul 5550470Apitchaya Sirirungrueangsuk 5550488
“Big Data would be “the next big chapter of our business history.”
M.I.T. Center of Digital Business.
Data - factual information used as a basis for reasoning, discussion, or calculation
Examples- Social media activity- Financial transactions- Location tracking- Web behavior- etc.
In contrast to traditional data, big data varies in terms of the three v’s.Volume – the amount of dataVelocity – how quickly data can be made available for analysisVariety – the different types of structured and unstructured data
Top 10 Strategic Technology Trends for 2013Top 10 Strategic Technology Trends for 2013
1. MOBILE DEVICES BATTLES2. MOBILE APPS AND HTML53. PERSONAL CLOUD4. THE INTERNET OF THINGS5. HYBRID IT AND CLOUD COMPUTING
6. STRATEGIC BIG DATA7. ACTIONABLE ANALYTICS8. MAINSTREAM IN-MEMORY COMPUTING9. INTEGRATED ECOSYSTEMS10. ENTERPRISE APP STORES
Big Data. The size, complexity of formats and speed of delivery exceeds the capabilities of traditional data management technologies; it
requires the use of new or exotic technologies simply to manage the
volume alone. Many new technologies are emerging, with the
potential to be disruptive (e.g., in-memory DBMS).
Analytics has become a major driving application for data warehousing, with the use of MapReduce outside and inside the DBMS, and the use of self-service data marts. One major implication of big data is that in the
future users will not be able to put all useful information into a single data warehouse. Logical data warehouses bringing together information from
multiple sources as needed will replace the single data warehouse model.
Business executives sometimes ask us, “Isn’t ‘big data’ just another
way of saying ‘analytics’?” It’s true that they’re related: The big data
movement, like analytics before it, seeks to glean
intelligence from data and translate
that into business advantage.