Don't use ticket numbers in standups

https://www.industriallogic.com/training/elearning/

Scrum Drawbacks (Based on blackbot post)

 https://medium.com/blackblot/product-management-and-the-2020-scrum-guide-free-at-last-eea0287d24db

• Scrum guide is intentionally unclear and incomplete (lacks methodological guidelines / foundation rules. Therefore one is forced to interpret terms and meanings. 
• Vagueness makes it possible to interpret scrum differently to fit different peoples' situations and opinions. Allows people to generate any scrum interpretation they want to agree with. 
• This vagueness has created an entire commercial industry around scrum, selling frameworks / scaled models. 
• Because of above, Scrum cannot be judged as wrong or right. Every interpretation appears okay within its own context.
• Absence of guidelines leads people to count a particular term in the scrum guide hoping that a higher frequency of a term would mean something. 
• None of the Scrum guides explain how Scrum views or defines value, what product management is, nor how value is tied to the product manager role or product management.

Big Data

What is Big Data?

Extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions.

Characteristics of Big Data

1. Volume
2. Velocity
3. Variety
4. Variability
5. Veracity
6. Visualisation
7. Value

Tools & Technologies I have used in latest project

•  VM Ware
• IntelliJ
• Ubuntu
• Linux Scripts
• Github
• Jenkins
• SCTP
• IBM BPM
• XSLT
• XML
• XPath
• Java
• Drools
• Rancher

Types of testing I have done in projects

• Test automation / regression testing
• Functional Testing
• Business Rules Testing
• Testing Technical User Stories (database upgrade, Java upgrade, etc.)
• Blue-Green testing
• Negative testing
• Exploratory testing
• Smoke testing (Automated - test things we expect to work).
• Performance testing - out of scope
•  Security testing
• API testing