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Modern Data Architectures with Python
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Table of Contents

Table of Contents

  • Modern Data Processing Architectures
  • Basics of Data Analytics Engineering
  • Cloud Storage and Processing Concepts
  • Python Batch and Stream Processing with Spark
  • Streaming Data with Kafka
  • Python MLOps
  • Python and SQL based Visualizations
  • Integrating CI into your workflow
  • Data Orchestration
  • Data Governance
  • Introduction to Saturn Insurance, Deploying CI and ELT
  • Data Governance and Dashboards
  • About the Author

    Brian Lipp is a Technology Polyglot, Engineer, and Solution Architect with a wide skillset in many technology domains. His programming background has ranged from R, Python, and Scala, to Go and Rust development. He has worked on Big Data systems, Data Lakes, data warehouses, and backend software engineering. Brian earned a Master of Science, CSIS from Pace University in 2009. He is currently a Sr. Data Engineer working with large Tech firms to build Data Ecosystems.

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