The document contains a quiz about big data analytics with 8 multiple choice questions. The questions cover topics such as the importance of analytics over just collecting data, data mining, selecting the right tools and skills for analytics projects, best practices for managing analytics programs, definitions of big data, considerations for linking different data sources, benefits of examining existing data, and the MapReduce programming framework. The document promotes learning big data technologies and being part of the big data revolution by taking the quiz.

1. 2015
LEARN BIG DATA TECHNOLOGIES, BE A PART OF THE
BIG DATA REVOLUTION. E: TRAINING@VISUALECT.CO
OR CALL: 09705596666
TAKE THE WHAT IS BIG DATA QUIZ, it tests
your knowledge of big data analytics tools and
best practices. See where you stand!
QUESTION 1
Collecting and storing big data alone isn't enough to produce real business value. Analytics is
necessary to:
 Formulate eye-catching charts and graphs
 Extract valuable insights from the data
 Integrate data from internal and external sources
QUESTION 2
The method by which companies analyze customer data or other types of information in an
effort to identify patterns and discover relationships between different data elements is often
referred to as:
 Data mining
 Data digging
 Customer data management
QUESTION 3
True or false? To maximize the benefits of big data analytics initiatives, it's critical for
organizations to select the right analytics tools and involve people who bring needed analytical
skills to a project.
 True
 False

2. 2015
LEARN BIG DATA TECHNOLOGIES, BE A PART OF THE
BIG DATA REVOLUTION. E: TRAINING@VISUALECT.CO
OR CALL: 09705596666
QUESTION 4
Recommended best practices for managing big data analytics programs include:
 Adopting data analysis tools based on a laundry list of their capabilities
 Letting go entirely of "old ideas" related to data management
 Focusing on business goals and how to use big data analytics to meet them
QUESTION 5
True or false? Often big data is defined by the three V's -- volume, variety and velocity --
which is helpful but ignores other commonly cited characteristics of big data, such as
complexity and variability.
 True
 False
QUESTION 6
Companies that have large amounts of information stored in different systems should begin a
big data analytics project by considering:
 The creation of a plan for choosing and implementing big data infrastructure technologies
 The interrelatedness of data and the amount of development work that will be needed to
link various data sources
 The ability of business intelligence and analytics vendors to help them answer business
questions in big data environments

3. 2015
LEARN BIG DATA TECHNOLOGIES, BE A PART OF THE
BIG DATA REVOLUTION. E: TRAINING@VISUALECT.CO
OR CALL: 09705596666
QUESTION 7
True or false? For organizations that aren't currently looking to do big data analytics, there is
little or no benefit to examining the data they're retaining and evaluating how it's being used.
 True
 False
QUESTION 8
The programming framework, originally developed by Google, that supports the development
of applications for processing large data sets in a distributed computing environment is known
as:
 MapReduce
 Hive
 ZooKeeper
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