This document discusses the value and uses of big data across different fields such as medicine, sports, and politics. It provides examples of how data analytics helped Germany win the World Cup and Obama's election campaign. The document also lists various data science techniques including natural language processing, machine learning, statistics, and data mining. It concludes by quoting Grace Hopper advocating for using multiple computer systems instead of building single larger computers to handle large-scale data management challenges.

1. Asgar Mammadli
Research Assistant at CeDAWI
amammadli@cedawi.org

2. Why Big Data?

3. Medicine
Data alone won’t change the world. It’s the
people that use data
to make better decisions.
Sports
Big Data & Data Analytics Help
Germany Score the World Cup
Data Science in
Politics
Obama’s victory confirmed the
value of using technology and
data analytics.

4. Data
Analytics
Data
Mining
NLP
Natural language
processing
Machine
Learning
Statistics
Large - Scale
Data
Management
Text Mining Web Mining

5. Large - Scale Data Management
“In pioneer days they used oxen for heavy pulling,
and when one ox couldn’t budge a log, they didn’t try
to grow a larger ox. We shouldn’t be trying for bigger
computers, but for more systems of computers.”
Grace Hopper

7. www.cedawi.org