Database Reference
In-Depth Information
Key Concepts
Big Data overview
State of the practice in analytics
Business Intelligence versus Data Science
Key roles for the new Big Data ecosystem
The Data Scientist
Examples of Big Data analytics
Much has been written about Big Data and the need for advanced analytics within
industry, academia, and government. Availability of new data sources and the rise
of more complex analytical opportunities have created a need to rethink existing
data architectures to enable analytics that take advantage of Big Data. In addition,
significant debate exists about what Big Data is and what kinds of skills are required
to make best use of it. This chapter explains several key concepts to clarify what is
meant by Big Data, why advanced analytics are needed, how Data Science differs
from Business Intelligence (BI), and what new roles are needed for the new Big Data
ecosystem.
