Deck 11 - BDA Market Players Flashcards Preview

Big Data Analystics - Final Exam 2 > Deck 11 - BDA Market Players > Flashcards

Flashcards in Deck 11 - BDA Market Players Deck (19):
1

According to Gartner, what are the upcoming trends by 2020?

-Augmented analytics
-Natural language integration
-Artificial Intelligence
-Curated catalogs of internal and external data
-Citizen data scientists (as opposed to expert data scientists)

2

What are the six steps of Predictive Analytics?

-Understand Data
-Prepare Data
-Model
-Evaluate
-Deploy
-Monitor

3

What step is about identifying data that is relevant to the business goal?

Understand data

4

What steps is about integrating and enriching the data into an analytical data set?

Prepare Data

5

What step is about running statistical and machine-learning algorithms to fit the model?

Model

6

What steps is about testing the model to make sure it will work?

Evaluate

7

What step is about using the model in applications?

Deploy

8

What step is about measuring the effectiveness of the model in the real world?

Monitor

9

Who are the Top 10 Pure Big Data industry pioneers?

1. Palantir
2. Pivotal
3. Splunk
4. Mu Sigma
5. Actian
6. Opera Solutions
7. MarkLogic
8. SyncSort
9. Cloudera
10. mongoDB

10

Who created CRISP-DM?

DaimlerChrysler, SPSS and NCR

11

What does CRISP-DM stand for?

Cross-Industry-Standard-Process-for-Data-Mining

12

Are all phases of CRISP-DM necessary in every analysis?

No they are not

13

Who created SEMMA?

Created between 1999-2001 by SAS Institute

14

What does SEMMA stand for?

Sample-Explore-Modify-Model-Assess

15

What software is an extensive predictive analytics platform and provides a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization?

IBM SPSS Modeler

16

What software streamlines the data mining process so you can create accurate predictive and descriptive analytical models and offers state-of-the-art predictive analytics and data mining capabilities that enable organizations to analyze complex data, find useful insights and act confidently to make fact-based decisions?

SAS Enterprise Miner

17

What does HANA stand for?

High Performance Analytical Appliance

18

What are some functionalities of SAP HANA?

*In-memory database
*Column-based processing

19

What are some functionalities of Oracle Exalytics (Extreme Analytics)?

-Runs on specialized hardware
-Self-standing “smart box”
-“Smart cache” brings data from a traditional Oracle database to the in-memory database module for fast analytics