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==Review of Google Cloud and Data Engineering==
==Review Notes Pages==


Review in preparation for interview:
[[Google Cloud/Scientific Data Processing]] - doing the scientific data processing qwiklab
* 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
 
==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)
 
Notes review: GCDEC
* Case study - [[Google Cloud/Case Study]]
* 1 - [[GCDEC/Fundamentals/Notes]]
* 2 - [[GCDEC/Unstructured_Data/Notes]]
* 3a - [[GCDEC/BigQuery/Notes]]
* 3b - [[GCDEC/Dataflow/Notes]]
* 4a - [[GCDEC/Building_Tensorflow/Notes]]
* 4b - [[GCDEC/Deploying_Tensorflow/Notes]]
* 4c - [[GCDEC/Engineering_Tensorflow/Notes]]
* 5 - [[GCDEC/Streaming/Notes]]


Google Codelabs:
Review page: [[Google Cloud/Review]]
* Main link - https://codelabs.developers.google.com/
* Kubernetes and Container Engine - https://codelabs.developers.google.com/codelabs/cloud-compute-kubernetes/index.html?index=..%2F..%2Findex#0
* Process Astronomy Data to Generate Images - https://codelabs.developers.google.com/codelabs/cloud-compute-the-cosmos/index.html?index=..%2F..%2Findex#0
* Kubernetes for Java apps - https://codelabs.developers.google.com/codelabs/cloud-springboot-kubernetes/index.html?index=..%2F..%2Findex#0
* Google Cloud Storage - https://codelabs.developers.google.com/codelabs/es003l-storage/index.html?index=..%2F..%2Findex
* Campaign finance with bigquery - https://codelabs.developers.google.com/codelabs/cloud-bq-campaign-finance/index.html?index=..%2F..%2Findex#0
* Text processing with big data - https://codelabs.developers.google.com/codelabs/cloud-dataflow-starter/index.html?index=..%2F..%2Findex#0
* Recommendations ML - https://codelabs.developers.google.com/codelabs/cloud-accelerate-dataproc/index.html?index=..%2F..%2Findex#0
* Spark + OpenCV - https://codelabs.developers.google.com/codelabs/cloud-dataproc-opencv/index.html?index=..%2F..%2Findex
* Speech to Text - https://codelabs.developers.google.com/codelabs/cloud-speech-intro/index.html?index=..%2F..%2Findex#0
* Translate Text - https://codelabs.developers.google.com/codelabs/cloud-translation-intro/index.html?index=..%2F..%2Findex#0


Google Qwiklabs:
==Data Engineering Scenarios Review==
* 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


==Review Notes Pages==
Project 1: [[2018/January/Data Engineering/Scientific Data Processing]]


[[Google Cloud/Scientific Data Processing]] - doing the scientific data processing qwiklab
Project 2: [[2018/January/Data Engineering/Big Data Text Processing]]


Project 3: [[2018/January/Data Engineering/Cosmos]]


==Flags==


[[Category:Google Cloud]]
[[Category:Google Cloud]]
[[Category:Data Engineering]]
[[Category:Data Engineering]]

Latest revision as of 23:25, 11 January 2018

Review Notes Pages

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

Review page: Google Cloud/Review

Data Engineering Scenarios Review

Project 1: 2018/January/Data Engineering/Scientific Data Processing

Project 2: 2018/January/Data Engineering/Big Data Text Processing

Project 3: 2018/January/Data Engineering/Cosmos

Flags