The Data Engineering
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Resources

Books:

  1. “Fundamentals of Data Engineering” by Joe Reis & Matt Housley

    • Data Engineering Lifecycle
    • Data Architecture & Infrastructure
    • Data Generation & Storage
    • Security & Privacy
    • Best Practices & Design Patterns
  2. “Designing Data-Intensive Applications” by Martin Kleppmann

    • Distributed Systems
    • Data Models
    • Storage Engines
    • Data Processing
    • System Reliability
  3. “The Data Warehouse Toolkit” by Ralph Kimball

    • Dimensional Modeling
    • ETL Best Practices
    • Data Warehouse Architecture
    • Business Intelligence Design

Online Courses & Certifications:

  1. AWS Certified Data Analytics Specialty

    • Collection
    • Storage
    • Processing
    • Analysis
    • Visualization
  2. Coursera: IBM Data Engineering Professional Certificate

    • Python Programming
    • Databases (SQL & NoSQL)
    • ETL & Data Pipelines
    • Big Data Tools

Blogs & Websites:

  1. Towards Data Science (Medium)

    • Technical Tutorials
    • Industry Best Practices
    • Tool Comparisons
    • Case Studies
  2. Seattle Data Guy

    • AWS Solutions
    • Python Tips
    • Architecture Patterns
    • Career Advice
  3. Data Engineering Weekly Newsletter

    • Industry Updates
    • New Tools
    • Best Practices
    • Job Opportunities

YouTube Channels:

  1. Seattle Data Guy

    • AWS Tutorials
    • System Design
    • Tool Demonstrations
  2. Andreas Kretz

    • Data Engineering Project Tutorials
    • Tool Comparisons
    • Career Guidance

Tools & Technologies:

  1. Data Processing

    • Apache Spark
    • Apache Airflow
    • dbt
    • AWS Glue
  2. Data Storage

    • Amazon S3
    • Amazon Redshift
    • PostgreSQL
    • MongoDB
  3. Data Streaming

    • Apache Kafka
    • Amazon Kinesis
    • Apache Flink
  4. Data Visualization

    • Apache Superset
    • Tableau
    • Power BI

Architectures & Concepts:

  1. Data Lake Architecture

    • Bronze/Silver/Gold Layers
    • Data Quality
    • Governance
    • Security
  2. Modern Data Stack

    • ELT vs ETL
    • Data Warehouse
    • Data Mesh
    • Data Fabric
  3. AWS Specific

    • Lake Formation
    • EMR
    • Athena
    • QuickSight

Practice Resources:

  1. GitHub Projects

    • Example Data Pipelines
    • Infrastructure as Code
    • Best Practices Implementation
  2. Online Platforms

    • DataCamp
    • Leetcode
    • HackerRank