Pandey / Schoof Building ETL Pipelines with Python

Create and deploy enterprise-ready ETL pipelines by employing modern methods
1. Auflage 2023
ISBN: 978-1-80461-553-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 246 Seiten

No detailed description available for "Building ETL Pipelines with Python".

Autoren/Hrsg.

Pandey, Brij Kishore

Schoof, Emily Ro

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

Table of Contents - A Primer on Python and the Development Environment
- Understanding the ETL Process and Data Pipelines
- Design Principles for Creating Scalable and Resilient Pipelines
- Sourcing Insightful Data and Data Extraction Strategies
- Data Cleansing and Transformation
- Loading Transformed Data
- Tutorial – Building an End-to End ETL Pipeline in Python
- Powerful ETL Libraries and Tools in Python
- A Primer on AWS tools for ETL Processes
- Tutorial – Creating an ETL Pipeline in AWS
- Building Robust Deployment Pipelines in AWS
- Orchestration and Scaling in ETL Pipelines
- Testing Strategies for ETL pipelines
- Best Practices for ETL Pipelines
- Use Cases and Further Reading

Über Autor(innen)

Pandey Brij Kishore:

Brij Kishore Pandey stands as a testament to dedication, innovation, and mastery in the vast domains of software engineering, data engineering, machine learning, and architectural design. His illustrious career, spanning over 14 years, has seen him wear multiple hats, transitioning seamlessly between roles and consistently pushing the boundaries of technological advancement. He has a degree in electrical and electronics engineering. His work history includes the likes of JP Morgan Chase, American Express, 3M Company, Alaska Airlines, and Cigna Healthcare. He is currently working as a principal software engineer at Automatic Data Processing Inc. (ADP). Originally from India, he resides in Parsippany, New Jersey, with his wife and daughter. Schoof Emily Ro:

Emily Ro Schoof is a dedicated data specialist with a global perspective, showcasing her expertise as a data scientist and data engineer on both national and international platforms. Drawing from a background rooted in healthcare and experimental design, she brings a unique perspective of expertise to her data analytic roles. Emily's multifaceted career ranges from working with UNICEF to design automated forecasting algorithms to identify conflict anomalies using near real-time media monitoring to serving as a subject matter expert for General Assembly's Data Engineering course content and design. Her mission is to empower individuals to leverage data for positive impact. Emily holds the strong belief that providing easy access to resources that merge theory and real-world applications is the essential first step in this process.