DATA

Question 1

DATA ARCHITECTURE

Answer 1

Standards that govern which data is collected, and how it is stored, arranged, integrated, and put to use in data
systems and in organizations.

Question 2

data scientist ( 🧐 to find insight and deals with…)

Answer 2

- perform an exploratory analysis to discover insights from the data. Deals with an enormous
mass of
structure/unstructured
data and use their skills
in math, statistics,
programming, machine
learning, etc.

Question 3

data engineers 🏛

Answer 3

Develops, constructs,
tests & maintains the
complete architecture
of large-scale
processing systems.

Question 4

data analyst

Answer 4

Takes data and uses it to
help companies make better
business decision:
- Analyze and translate to
the “English language.”
- This data is used by upper
management to make
business decisions.

Question 5

DATA LAKE:

Answer 5

Is a storage that holds a vast amount of raw data in its natural form until it is needed.

Question 6

DATA PROCESSING: (us des)

Answer 6

Is the conversion of data into a usable and desired form

Question 7

APACHE Hadoop:

Answer 7

Is an open-source framework that is used to efficiently store and process large datasets

Question 8

APACHE Spark:

Answer 8

Is a data processing framework that can quickly perform processing tasks on very large data sets
and can also distribute data processing tasks across multiple computers.

Question 9

APACHE Hive:

Answer 9

Is an open-source data warehouse software for reading, writing and managing large data set files
that are stored directly in either the Apache Hadoop Distributed File System (HDFS) or other data storage systems
such as Apache HBase.

Question 10

SQL:

Answer 10

Is a domain-specific language used in programming and designed for managing data held in a relational
database management system, or for stream processing in a relational data stream management system

Question 11

NoSQL

Answer 11

NoSQL databases (aka "not only SQL") store data differently than relational tables . They provide flexible schemas and scale easily with large amounts of data and high user
loads.

Question 12

DATA WAREHOUSE:

Answer 12

A Data Warehousing (DW) is process for collecting and managing data from varied sources to
provide meaningful business insights.

Question 13

SOCIAL DATA

Answer 13

IS THE INFORMATION ABOUT YOU, SUCH AS YOUR
MOVEMENTS, BEHAVIOR, AND INTEREST, AS WELL
AS INFORMATION ABOUT YOUR RELATIONSHIPS
WITH OTHER PEOPLE, PLACES, PRODUCTS, EVEN
IDEOLOGIES.

Question 14

BIG DATA is a phrase used that means

Answer 14

massive volume of both structured and
unstructured data that is so large it is difficult to process using
traditional database and software techniques.

Question 15

BIG DATA has the potential to help

Answer 15

companies improve operations and make

faster, more intelligent decisions.

Question 16

DATA SCIENCE IS A (🔨 💹 🥅🏘 in data)

Answer 16

blend of various tools, algorithms, and machine
learning principles with the goal to discover hidden patterns
from the raw data.

Question 17

DATA ANALYTICS IS THE SCIENCE OF

Answer 17

examining
raw data with the purpose of drawing
conclusions about that information.

Question 18

BIG DATA-> 4V

Answer 18

Volumen
Velocidad
Variedad
Veracidad

Question 19

BIG DATA PROFESSIONAL (🃏w/ , from, at high )

Answer 19

Dealing with huge amount of heterogeneous data, which is gathered from various sources coming in at a high velocity.

Question 20

TYPES OF DATA

Answer 20

STRUCTURED UNSTRUCTURED QUALITATIVE AND QUANTITATIVE

Question 21

QUALITATIVE DATA

Answer 21

Qualitative data is descriptive and conceptual. Qualitative data can be categorized based on
traits and characteristics.
✓ Is non-statistical and is typically unstructured or semi-structured in nature.

Question 22

QUANTITATIVE DATA

Answer 22

can be counted, measured, and expressed using numbers.

Question 23

STRUCTURED DATA

Answer 23

is highly-organized and formatted in a way so it’s easily searchable in
relational databases.

Question 24

UNSTRUCTURED DATA

Answer 24

has no pre-defined format or organization, making it much more
difficult to collect, process, and analyze.
UNSTRUCTURED

• Is most often categorized as qualitative data, and it cannot be processed and
analyzed using conventional tools and methods. (VIDEO AUDIO, MOBILE ACTIVITY ETC)

Question 25

80% OF DATA IS

Answer 25

UNSTRUCTURED