Lipp Modern Data Architectures with Python

A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python
1. Auflage 2023
ISBN: 978-1-80107-641-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 318 Seiten

No detailed description available for "Modern Data Architectures with Python".

Autoren/Hrsg.

Lipp, Brian

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse

Inhaltsverzeichnis

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

Über Autor(innen)

Lipp Brian:

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.