ISDS 2001 Final Chapter 6

Q. It is a well-known fact that if you don't have committed executive backing, it is difficult (if not impossible) to succeed. If the scope is a single or a few analytical applications, the support can be at the departmental level. However, if the target is enterprise-wide organizational transformation, which is often the case for Big Data initiatives, _____________________ needs to be at the highest levels and organization-wide. Which one best Critical Success Factor for Big Data Analytics best fills the blank in the previous sentence?

a strong, committed sponsorship

Hadoop was originally created by _ at _.

Doug Cutting at Yahoo

Big data has fired the imagination of is possible through the _. What characteristic does this relate to in terms of how to succeed with big data?

application of analytics empower

Bid data plus _ yields value.

big analytics

Q. Business investments ought to be made for the good of the business, not for the sake of mere technology advancements. Therefore the main driver for Big Data analytics should be an alignment with the vision and the strategy and at any level-strategic, tactical, and operations. Which of the critical success factors for Big Data analytics is being described?

a clear business need

To succeed with big data, you must _ because using the strengths of each database platform and enabling them to _ in your organization's data architecture is essential.

coexist

You need to simplify because big data will be even more _ in years ahead.

complicated

In the realm of big data, _ is a method of capturing, tracking, and analyzing streams of data to detect events of certain types that are worthy of the effort.

critical event processing

What are two other names for stream analytics?

data in motion real time data analytics

Big data is worthless unless users do something with it that _ to the organization.

delivers value

To be succeed with big data, you must _ because big data and self service business intelligence go hand in hand.

empower

To succeed with big data, you must _ because with the backing of one or more executive sponsors, future business graduates can get the ball rolling and instill a virtuous cycle.

evangelize

To succeed with big data, you must _ because it has always been an issue in IT, and it is getting even more puzzling with the advent of big data.

govern

Traditional data warehouses *have/have not* been able to keep up with the variety and complexity of data.

have not

_ is a major user of stream analytics application.

health services

Data scientist positions are in _.

high demand

Using data to understand customers/clients and business operations to sustain and foster growth and profitability is an _ for today's enterprises and is not a new _, but rather a _.

increasingly challenging task technology fad business priority

To succeed with big data, you must _ because blending data from disparate sources for your organization is an essential part of big data analytics.

integrate

CERN operates in the world's _ and is located near _.

largest particle physics laboratory geneva, switzerland

Most big data is generated by _.

machines

What organizations get the best *value* from data? What characteristic does this relate to in terms of how to succeed with big data?

ones that blend different relational, semi-structured, and raw data sources in real time without expensive up from cost integrate

The biggest potential source of big data in health services comes from _ only.

patient monitering

_ evaluates every incoming observation against all prior observations when analyzing big data in the context of intelligent systems and recognizing how the new observations relates to all prior observations enables the discovery of real time insights.

perpetual analytics

The more departments in your organization that realize actionable benefits of big data, the more _ becomes across your organization. What characteristic does this relate to in terms of how to succeed with big data?

pervasive analytics evangelize

CERN plays a leading role in the fundamental studies of _.

physics

The European Union defines seven "_" for the protection of citizen's private data. The U.S. uses _ to protect all publicly listed companies. What characteristic does this relate to in terms of how to succeed with big data?

safe harbor privacy principles sarbanes-oxley act govern

To succeed with big data, you must _ because it is hard to keep track of all of the new database vendors, open source projects, and big data service providers.

simplify

What is a major challenge of big data analytics?

skill availability - data scientist are in short supply

A use case in the energy industry for stream analytics is a classic _ application for the electric power supply chain.

smart grid

_ is the analytics process of extracting actionable information from continuously flowing data.

stream analytics

_ is the potential of big data to contain more useful patterns and interesting anomalies than "small" data. - Don't use unless it means something.

value proposition

_ describes how data flows can be highly inconsistent, with periodic peaks, making data loads hard to manage.

variability

_ describes the variety of formats that data comes in, including traditional data, email, OLAP, video, audio, etc.

variety

Stream analytics is related to _ in big data.

velocity

Q. In ____?______, the numbers rather than intuition, gut feeling, or supposition drive decision making. There is also a culture of experimentation to see what works and doesn't. To create ____?____, senior management needs to do the following: recognize that some people can't or won't adjust; be a vocal supporter; stress that outdated methods must be discontinued; ask to see what analytics went into decisions; link incentives and compensation to desired behaviors.

a fact based decision making culture

_ refers to both how fast data is being produced and how fast the data must be processed to meet the need or demand.

velocity

_ referes to the conformity to facts - accuracy, quality, truthfulness, trustworthiness - of big data.

veracity

Data scientist are offered _ and have _.

very high salaries very high expectations

Fast, easy to use _ is the key that opens the door to organization-wide analytics adoption and collaboration. What characteristic does this relate to in terms of how to succeed with big data?

visual analytics evangelize

To succeed with big data, you must _ because according to leading analytics research companies like Forrester and Gartner, enterprises find advanced data visualization platforms to be essential tools that enable them to monitor business, find patterns, and take action to avoid threats and snatch opportunities.

visualize

_ has been increased by transaction based data stored through the years, text data constantly streaming in from social media, increasing amounts of sensor data being collected, automatically generated RFID and GPS data, etc. - Most common trait of big data

volume

Organizations with big data are over _% more likely than other organizations to have BI/BA projects that are driven primarily by business community, not by the IT group. What characteristic does this relate to in terms of how to succeed with big data?

70 empower

More that _ countries have data privacy laws. What characteristic does this relate to in terms of how to succeed with big data?

80 govern

By estimates, _ to _ percent of the organization's data is in some sort of unstructured or semi-structured format.

80 to 85

Data scientist use a combination of _, _, and _ skills to investigate big data and look for ways to improve current business analytic practices - resulting in improved decisions for new business opportunities.

*business* communication technical

3 critical success factors for big data analytics:

1) a clear business need (alignment with the vision and strategy) 2) strong, committed sponsorship (executive champion) 3) a fact based decision making culture

_ is an open source framework for storing and analyzing amounts of distributed, unstructured data.

Hadoop

Where do data scientist come from?

LSU's ISDS maters of science in analytics ;)

_ is a technique that distributes the processing of very large, multi structured data files across a large cluster of ordinary machine/computer processors. Made popular by _.

MapReduce Google

3 big data technologies:

MapReduce Hadoop NoSQL

_ + _ = big data core technology.

MapReduce + Hadoop

_ can handle big data better than traditional relational database technology.

NoSQL

_ is a new style of database used to store and process large volumes of unstructured, semi structured, and multi structured data.

NoSQL