Data Pipelines Pocket Reference
by James Densmore
Published: 8/4/2020
Why read?
Data Pipelines Pocket Reference is a concise guide to building data pipelines for data processing and analytics. The book covers topics like data ingestion, transformation, and loading. The authors provide practical examples and best practices for designing and deploying data pipelines using tools like Apache Kafka, Apache NiFi, and Apache Airflow. By sharing insights from their experience in data engineering and analytics, the authors equip readers with the knowledge and skills to build scalable and reliable data pipelines for processing and analyzing large-scale data sets.
Recommended by:
- Stanford University
- Harvard University
Pages
206 pages
Language
English
ISBN
1492043389
ASIN
1492087831
See Also
An Introduction to Statistical Learning
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
Applied Predictive Modeling
Max Kuhn, Kjell Johnson
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Aurélien Géron
Spark – The Definitive Guide: Big data processing made simple
Bill Chambers, Matei Zaharia