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Agile Engineering

by Shane Gibson | 6.1.4 - Business Rule Patterns, 6.2 - Agile Data Engineering, AgileBI Articles, Backlogged

Agile Engineering As a BI ManagerI want to understand what risk and challenges I will encounterSo that I know what I am getting myself into Reducing your delivery timeframe down to 3 weeks, means you need to find ways to automate many of the repetitive development...

BEAM meets Data Vault and wham bam thank you ma’am 

by Shane Gibson | 6.1.3 - Data Requirements, 6.2.2 - Data Vault, AgileBI Articles, Underway

BEAM meets Data Vault and wham bam thank you ma’am  As a Developer I want to understand who I can leverage BEAM and Data Vault together So that I can develop faster and safer. Whether you are pipelining [[link]] your Agile delivery or you are managing to deliver...

Documentation – Engineering Map

by Shane Gibson | 6.2 - Agile Data Engineering, Backlogged

[[without using agile data engineering the proces wil be ad hoc and result in silos]] [[archtect owner has to make sure map is done]] [[need a map to see what should go where and what path to follow]] [[not a design as it might change]] [[might start with a blueprint...

The Challenges of Continous Integration

by Shane Gibson | 6.2 - Agile Data Engineering, Backlogged

In the world of Agile Application development and particularly cloud development of these applications as Software as a Service offerings, Continious Integration is a core component used to speed up and automate the development and deployment of these solutions. When...

Thin Slice vs Layer by Layer

by Shane Gibson | 6.2 - Agile Data Engineering, Backlogged

[[we always want to do layer by layer makes us feel safe]] [[without showing value each sprint we introduce major risk of being canned]] [[risk of major rework]] [thin slice allows us to deliver visible value each sprint]] [[sprint 0 allows us to do the find atonal...

Recent Drafts

  • AgileBI #17 – Flying the airplane while building it
  • AgileBI #16 – Plan Continuation Bias
  • AgileBI #15 – Leading agile data at scale
  • AgileBI #14 – Thoughts on the JAFAC conference
  • AgileBI #13 – A DataOps and Data Science Journey

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