Google Cloud/Review

Review

Review in preparation for interview:

• Components of workflow and open source tools for each step
• Highlight each step with a data engineering repository
• Individual services offered on the cloud - know the idea behind, e.g., why so many database solutions
• What specific challenges, software, workflows do genomics researchers face/use?

Review Process

Case study

• Start by reviewing the logistics company case study
• https://charlesreid1.com/wiki/Google_Cloud/Case_Study

Software tools

• Basic software technologies: storage, databases, distributed computation, GPUs vs CPUs, Docker/containerization
• https://charlesreid1.com/wiki/Google_Cloud
• Google Cloud Genomics

Software Quality Assurance

• Github pages/10 things list (time machine)

GCDEC Review:

• 1 - https://charlesreid1.com/wiki/GCDEC/Fundamentals/Notes
• 2 - https://charlesreid1.com/wiki/GCDEC/Unstructured_Data/Notes
• 3a - https://charlesreid1.com/wiki/GCDEC/BigQuery/Notes
• 3b - https://charlesreid1.com/wiki/GCDEC/Dataflow/Notes
• 4a - https://charlesreid1.com/wiki/GCDEC/Building_Tensorflow/Notes
• 4b - https://charlesreid1.com/wiki/GCDEC/Deploying_Tensorflow/Notes
• 4c - https://charlesreid1.com/wiki/GCDEC/Engineering_Tensorflow/Notes
• 5 - https://charlesreid1.com/w/index.php?title=GCDEC/Streaming/Notes&action=edit&redlink=1

Examples

Google Codelabs:

• https://codelabs.developers.google.com/

Google Quiklabs:

• Google Cloud Platform essentials - https://google.qwiklabs.com/quests/23?locale=en
• Scientific data processing - https://google.qwiklabs.com/quests/28?locale=en
• Data engineering - https://google.qwiklabs.com/quests/25?locale=en