From charlesreid1

Revision as of 22:29, 8 January 2018 by Admin (talk | contribs)

Review of Google Cloud and Data Engineering

Review in preparation for interview:

  • Components of workflow in cloud, analogies
  • Open source tools used at each "step"
  • Highlighting different workflows using repositories
  • Quick/easy example: why so many database solutions? How to do basics?
  • Specific challenges, software, workflow for genomics research

Review Notes Pages

Google Cloud/Scientific Data Processing - doing the scientific data processing qwiklab


Procedure

Software tools list, (abstract) example for each: Google Cloud

  • Storage/database/computation/GPUs vs CPUs/containerization

Software quality assurance:

  • Github page - 10 things
  • Apply style of later points to earlier points
  • Clear out lorem ipsum (7-10)

Links to Notes

Notes review: GCDEC

Links to Code Labs

Google Codelabs:

Google Qwiklabs:


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