Hadoop with Impala



Net Promoter Score (NPS)

The NPS Calculation
Calculate your NPS using the answer to a key question, using a 0-10 scale: How likely is it that you would recommend [brand] to a friend or colleague?

Respondents are grouped as follows:

Promoters (score 9-10) are loyal enthusiasts who will keep buying and refer others, fueling growth.
Passives (score 7-8) are satisfied but unenthusiastic customers who are vulnerable to competitive offerings.
Detractors (score 0-6) are unhappy customers who can damage your brand and impede growth through negative word-of-mouth.

Subtracting the percentage of Detractors from the percentage of Promoters yields the Net Promoter Score, which can range from a low of -100 (if every customer is a Detractor) to a high of 100 (if every customer is a Promoter).

Reference: https://www.netpromoter.com/know/

The IBM mainframe server

IBM Z14 Spec



Mainframe concepts: https://www.ibm.com/support/knowledgecenter/zosbasics/com.ibm.zos.zmainframe/toc.htm

Mainframe customer List:
Customer Count: https://www.salesinsideinc.com/services-details/ibm-mainframe-customers-list


Openwhisk Architecture

View story at Medium.com

Other Open Whisk Articles: https://github.com/apache/incubator-openwhisk-external-resources#applications

Spring Cloud: http://projects.spring.io/spring-cloud/
GIT: https://github.com/markfisher/spring-cloud-function

Running Spring Micro services in IBM Bluemix: https://www.ibm.com/blogs/bluemix/2017/09/creating-running-deploying-spring-microservices-5-minutes/

Funcatron let’s you deploy serverless on any cloud provider or in your private cloud. Focus on the functions, avoid vendor lock-in.

What makes serverless architectures so attractive?

Function as a Service compared