Big data is revolutionizing business by transforming data management with its volume, velocity, and variety, requiring new technologies to handle its complexity. The rise of strategic big data highlights emerging technology trends such as mobile apps, the Internet of Things, and actionable analytics. Future data management will shift from traditional single data warehouses to logical data warehouses that integrate various information sources.

1. “ อภิม หาข้อ มูล ”
How
Big Data
is changing the world
Thanakrit Lersmethasakul 5550470
Apitchaya Sirirungrueangsuk 5550488

2. “Big Data would be “the next big chapter of our business
history.”
M.I.T. Center of Digital Business.

3. Data - factual information
used as a basis for
reasoning, discussion, or
Examples
- Social media
activity
- Financial
transactions
- Location tracking

11. In contrast to traditional data, big data varies in terms of the three v’s.
Volume – the amount of data
Velocity – how quickly data can be made available for
analysis

17. Top 10 Strategic Technology Trends for 2013
1. MOBILE DEVICES BATTLES
2. MOBILE APPS AND HTML5
3. PERSONAL CLOUD
4. THE INTERNET OF THINGS
5. HYBRID IT AND CLOUD COMPUTING
6. STRATEGIC BIG DATA
7. ACTIONABLE ANALYTICS
8. MAINSTREAM IN-MEMORY COMPUTING
9. INTEGRATED ECOSYSTEMS
10. 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.

18. 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.