Data Analytic Applications/processes

Question 1

API

Answer 1

Application program interface- allows applications to talk to each other

Question 2

XML

Answer 2

Extensible markup language. Set of tags or codes to describe a text in digital document

Question 3

SQL

Answer 3

Helps pull from databases, manages data in relational databases management

Question 4

D3.js

Answer 4

Data driven document is a JavaScript library for manipulating documents based on data. Brings html to life

Question 5

JSON

Answer 5

JavaScript object notation, format to transport data on networks without heavy weight. Format is also interchangeable,

Question 6

MLaaS

Answer 6

ML as a service for cloud computing.

Question 7

ETL and ETLTL

Answer 7

Extract, transform, load and the latter loads into a data Lake or warehouse to be analyzed at a later ping in time.

Question 8

Training Data and Test/Validation

Answer 8

Practice data set implemented to build up a model , and test data uses to validate model

Question 9

QLIK

Answer 9

End to end platform with data integration

Question 10

Python Vs R

Answer 10

Python: mainly used by programmers , production ready tool that integrates all of the workflow, simple syntax is easy to debug, indentation affects meaning. Functionality is always written same way

R- used in academia, most commonly used by non programmers, statistical models only take a few lines, indents have no meaning, functionality can be written differently