Managing the Big Data Project – Lifecycle, Approach, Team Composition, Pitfalls

Managing the Big Data Project – Lifecycle, Approach, Team Composition, Pitfalls

Managing the Big Data Project – Lifecycle, Approach, Team Composition, Pitfalls. Managing the Big Data project Everything ‘expands’ in a Big Data project. There are many more decision points, even before you draw the first entity in your ERD design tool. A typical IT lifecycle, of any type, consists of  Analysis (“You start coding and I’ll go upstairs and see what the business wants”);  Design (“Is

Managing the Big Data project

Everything ‘expands’ in a Big Data project. There are many more decision points, even before you draw the first entity in your ERD design tool. A typical IT lifecycle, of any type, consists of 

  1. Analysis (“You start coding and I’ll go upstairs and see what the business wants”); 
  2. Design (“Is this a pattern that has previously been designed?”)
  3. Coding (“Is this a pattern that has previously been coded?”)
  4. Testing (“Have we used tests like these, before?”)
  5. Implementation 
  6. Feedback (all positive, right?)
  7. All of the above happens in Agile development as well as in Waterfall development, but for this discussion, I’ll ignore the details of Agile work sessions.

Let’s dive in the detailed lifecycle about Big Data projects:

big data cloud & devops big data & technology big data analysis lifecycle team composition

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