Table of Contents
Introduction
About the Cover
What you will learn
Chapter One: Getting Started
Effective Async Technical Discussions
Effective Async Technical Project Management
Cloud Onboarding for AWS, GCP, and Azure
Chapter 2: Cloud Computing Foundations
Why you should consider using a cloud-based development environment
Overview of Cloud Computing
PaaS Continuous Delivery
IaC (Infrastructure as Code)
What is Continuous Delivery and Continuous Deployment?
Continuous Delivery for Hugo Static Site from Zero
Chapter3: Virtualization & Containerization & Elasticity
Elastic Resources
Containers: Docker
Container Registries
Kubernetes in the Cloud
Hybrid and Multi-cloud Kubernetes
Running Kubernetes locally with Docker Desktop and sklearn flask
Operationalizing a Microservice Overview
Creating a Locust Load test with Flask
Serverless Best Practices, Disaster Recovery and Backups for Microservices
Chapter 4: Challenges and Opportunities in Distributed Computing
Eventual Consistency
CAP Theorem
Amdahl's Law
Elasticity
Highly Available
End of Moore's Law
ASICS: GPUs, TPUs, FPGA
Chapter 5: Cloud Storage
Cloud Storage Types
Data Governance
Cloud Databases
Key-Value Databases
Graph Databases
Batch vs. Streaming Data and Machine Learning
Cloud Data Warehouse
GCP BigQuery
AWS Redshift
Chapter 6: Serverless ETL Technologies
AWS Lambda
Developing AWS Lambda Functions with AWS Cloud9
Faas (Function as a Service)
Chalice Framework on AWS Lambda
Google Cloud Functions
To run it locally, follow these steps
Cloud ETL
Real-World Problems with ETL Building a Social Network From Scratch
Chapter 07: Managed Machine Learning Systems
Jupyter Notebook Workflow
AWS Sagemaker Overview
AWS Sagemaker Elastic Architecture
Azure ML Studio Overview
Google AutoML Computer Vision
Chapter 08: Data Science Case Studies and Projects
Case Study: Data science meets Intermittent Fasting (IF)
Chapter 09: Essays
Why There Will Be No Data Science Job Titles By 2029
Exploiting The Unbundling Of Education
How Vertically Integrated AI Stacks Will Affect IT Organizations
Here Come The Notebooks
Cloud Native Machine Learning And AI
One Million Trained by 2021
Chapter 10: Career
Getting a job by becoming a Triple Threat
How to Build a Portfolio for Data Science and Machine Learning Engineering
How to learn
Create your own 20% Time
Pear Revenue Strategy
Remote First (Mastering Async Work)
Getting a Job: Don't Storm the Castle, Walk in the backdoor