2018/January/Data Engineering: Difference between revisions
From charlesreid1
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Software quality assurance: https://charlesreid1.com:3000/charlesreid1/scientific-software | Software quality assurance: https://charlesreid1.com:3000/charlesreid1/scientific-software | ||
* [[10 Best]] | |||
* More informal | * More informal | ||
* Bullet points - things I've learned | * Bullet points - things I've learned | ||
Revision as of 23:33, 11 January 2018
notes from January 2018 data engineering work.
this consists of review (rebooting the data engineering stuff) and coding (identifying relevant scenarios for data engineering scenarios).
pages
Review page: Google Cloud/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
procedure
Expanding data-engineering-scenarios
Start with pre-made examples
Work toward fabricated experimental data
An imaginary factory... lots of widgets... Kubernetes/container engine... orchestrating a process
Focus on a particular process or set of processes, and drill into it, use it to provide multiple angles on a single concept
Software tools list, (abstract) example for each: Google Cloud
- Storage/database/computation/GPUs vs CPUs/containerization
Software quality assurance: https://charlesreid1.com:3000/charlesreid1/scientific-software
- 10 Best
- More informal
- Bullet points - things I've learned
- Apply style of later points to earlier points
- Github page - 10 things
- Clear out lorem ipsum (7-10)
links
links to notes
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
links to codelabs
Google Codelabs:
- 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:
- 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