OTM Chapter 5+7 Study Guide PART 2

How do Organizations Use Data Warehouses to Acquire Data? (4) *CSPB*

Contains data from many core operational transaction systems Standard enterprise data Provides analysis and reporting tools Both current and historical data

Describe Hadoop (2)

Enables distributed parallel processing of big data across inexpensive computers Used by Facebook, Yahoo, NextBio

What is text mining?

Extracts key elements from large unstructured data sets

Operational data is divided into: (4)

Operational DBs Social Data Purchased Data Employee knowledge

Describe MapReduce (2)

Technique for harnessing the power of thousands of computers working in parallel The BigData collection is broken down into pieces, and hundreds/thousands of independent processors search these pieces for something of interest

ICANN is owned by:

The US government

What are the benefits/components of web mining? (4)

discovery/analysis of useful patterns or info on the web Web content mining Web structure mining; analyzing links to/from webpage Web usage mining-mining user interactions

Measures and dimensions are 2 main features of what kind of cube?

information cube

Acquiring data involves: (4)

obtaining cleansing organize/relate catalog

publishing results involves:

print web servers report servers automation

Performing analysis involves: (3)

reporting data mining biodata

What is IofT

the internet of things; a network of smart objects (devices, cars, buildings, etc.)

Virtualization software enables the creation of what?

virtual environments nearly instantaneously

Describe analytic platforms

•High-speed platforms optimized for large datasets

Analytical Tools (Data Analytics) are: (4)

•Multidimensional data analysis (OLAP) that View data in multiple dimensions •Data mining •Text mining •Web mining

How do Organizations Use Data Marts to Acquire Data? (3)

•Subset of data warehouse •Summarized data, specific population of users •Typically focuses on single subject or line of business

Describe In-memory computing (4)

•Used in big data analysis •Use RAM for data storage to avoid delays in retrieving data •Reduce hours/days of processing to seconds •Requires optimized hardware