discussed big data , data warehouse and google database for big
data and bootstrapping technique for data analytics to a real life
business scenario.
Writing Requirements
3-5 pages in length in word document
1. What is Big Data? Why Is Big Data
Different? (from data mart, data warehouse)
2. What Are the Benefits of Big Data?
3. Some of the potential business benefits
from implementing an effective big data analytics
4. How can organization leverage Big Data?
For example, Big Data can be used to develop the next
generation of products and services. For instance,
manufacturers are using data obtained from sensors embedded in
products to create innovative after-sales service offerings such as
proactive maintenance to avoid...
Compare a data warehouse used for decision support to an
operational database. How do the data warehouse and the operational
database differ in their purpose, their structure, the technology
they use, and the way they are managed? Why would a company need
both?
With a cube from a database or data warehouse, you are bringing
data "forward." Explain what this means and how it impacts the
front-end and back-end user from a database perspective. Provide
examples to illustrate your ideas.
typed please
a.How does big data impact and change enterprise Data warehouse
and data management infrastructure ?
b.How can an organization become big data ready, mature, and
visionary?
c.What is the current state and future of “Big Data” analytics?
Matured? Over? Faded?
Big Data is increasingly important to companies and accountants.
Using a web search on Google or other search sites, find an article
within the last 12 months on “Big Data” and accounting. Summarize
how the article describes the use of Big Data in an accounting
context.
Describe whether big data or a business intelligence application
that uses a relational database, is a better fit for the users at
each of the three organizational and management levels.