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| ==Review of Google Cloud and Data Engineering== | | ==Review Notes Pages== |
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| Review in preparation for interview:
| | [[Google Cloud/Scientific Data Processing]] - doing the scientific data processing qwiklab |
| * Components of workflow in cloud, analogies
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| * Open source tools used at each "step"
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| * Highlighting different workflows using repositories
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| * Quick/easy example: why so many database solutions? How to do basics?
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| * Specific challenges, software, workflow for genomics research
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| ==Procedure==
| | Review page: [[Google Cloud/Review]] |
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| Software tools list, (abstract) example for each: [[Google Cloud]]
| | ==Data Engineering Scenarios Review== |
| * Storage/database/computation/GPUs vs CPUs/containerization
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| Software quality assurance:
| | Project 1: [[2018/January/Data Engineering/Scientific Data Processing]] |
| * Github page - 10 things
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| * Apply style of later points to earlier points
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| * Clear out lorem ipsum (7-10)
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| Notes review: GCDEC
| | Project 2: [[2018/January/Data Engineering/Big Data Text Processing]] |
| * Case study - [[Google Cloud/Case Study]]
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| * 1 - https://charlesreid1.com/wiki/GCDEC/Fundamentals/Notes
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| * 2 - https://charlesreid1.com/wiki/GCDEC/Unstructured_Data/Notes
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| * 3a - https://charlesreid1.com/wiki/GCDEC/BigQuery/Notes
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| * 3b - https://charlesreid1.com/wiki/GCDEC/Dataflow/Notes
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| * 4a - https://charlesreid1.com/wiki/GCDEC/Building_Tensorflow/Notes
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| * 4b - https://charlesreid1.com/wiki/GCDEC/Deploying_Tensorflow/Notes
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| * 4c - https://charlesreid1.com/wiki/GCDEC/Engineering_Tensorflow/Notes
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| * 5 - https://charlesreid1.com/w/index.php?title=GCDEC/Streaming/Notes&action=edit&redlink=1
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| Google Codelabs:
| | Project 3: [[2018/January/Data Engineering/Cosmos]] |
| * https://codelabs.developers.google.com/
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| * Kubernetes and Container Engine - https://codelabs.developers.google.com/codelabs/cloud-compute-kubernetes/index.html?index=..%2F..%2Findex#0
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| * Process Astronomy Data to Generate Images - https://codelabs.developers.google.com/codelabs/cloud-compute-the-cosmos/index.html?index=..%2F..%2Findex#0
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| * Kubernetes for Java apps - https://codelabs.developers.google.com/codelabs/cloud-springboot-kubernetes/index.html?index=..%2F..%2Findex#0
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| * Google Cloud Storage - https://codelabs.developers.google.com/codelabs/es003l-storage/index.html?index=..%2F..%2Findex
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| * Campaign finance with bigquery - https://codelabs.developers.google.com/codelabs/cloud-bq-campaign-finance/index.html?index=..%2F..%2Findex#0
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| * Text processing with big data - https://codelabs.developers.google.com/codelabs/cloud-dataflow-starter/index.html?index=..%2F..%2Findex#0
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| * Recommendations ML - https://codelabs.developers.google.com/codelabs/cloud-accelerate-dataproc/index.html?index=..%2F..%2Findex#0
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| * Spark + OpenCV - https://codelabs.developers.google.com/codelabs/cloud-dataproc-opencv/index.html?index=..%2F..%2Findex
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| * Speech to Text - https://codelabs.developers.google.com/codelabs/cloud-speech-intro/index.html?index=..%2F..%2Findex#0
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| * Translate Text - https://codelabs.developers.google.com/codelabs/cloud-translation-intro/index.html?index=..%2F..%2Findex#0
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| Google Quiklabs:
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| * Google Cloud Platform essentials - https://google.qwiklabs.com/quests/23?locale=en
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| * Scientific data processing - https://google.qwiklabs.com/quests/28?locale=en
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| * Data engineering - https://google.qwiklabs.com/quests/25?locale=en
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| | ==Flags== |
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| [[Category:Google Cloud]] | | [[Category:Google Cloud]] |
| [[Category:Data Engineering]] | | [[Category:Data Engineering]] |