Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python Paul Crickard $51.99 2.6 (24 Ratings) Paperback Oct 2020 356 pages 1st Edition eBook $9.99 $41.99 Paperback $51.99 Subscription Free Trial Renews at $19.99p/m View...
If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.Simply click on the link to claim your free PDF. https://packt.link/free-ebook/9781800560413 About Data Engineering with AWS, Published by Packt Resources Readme License...
Python和AWS Lambda LiveLessons的数据工程向用户展示了如何用数据科学家用来构建机器学习模型的相同语言构建完整而强大的数据工程管道。通过在Python中采用无服务器数据工程,您可以在AWS背板的背面构建高度可扩展的分布式系统。用户学会了在无服务器的新范式中思考,这意味着接受事件和事件驱动的程序,以取代昂贵而复杂的服务...
The Data Engineering Cookbook big-databest-practicescookbookdata-engineeringdata-engineer UpdatedDec 11, 2024 Python data-engineering-community/data-engineering-wiki Sponsor Star1.5k Code Issues Pull requests The best place to learn data engineering. Built and maintained by the data engineering community....
Synapse Studio provides several options to work with files stored in attached storage accounts, such as creating a new SQL script, a notebook, data flow, or new dataset. Synapse Notebooks enable you to harness the power of Apache Spark to explore and analyze data,...
The Professional Data Engineer exam is the industry-standard exam that proves the candidate’s ability to do data-driven decision-making by assembling, transforming, and publishing data. If you are rooting for a career in data engineering, you should take this test. It will lead you to attain...
He’s originally from Toronto, Canada, and he studied Management and Materials Science Engineering at the University of Pennsylvania and Wharton. In his spare time, Saunders sings with the Seattle Esoterics and develops add-ins. Thanks to the following Microsoft technical experts for reviewing this ...
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How to enhance model performance via processes such as feature engineering, and regularisation Linear Regression through a real-life case study Dimensionality Reduction Technique with Principal Component Analysis and Factor Analysis Various techniques to find the optimum number of components or factors using...
Using your Microsoft Azure subscription, I’ll present examples of solving machine learning (ML) problems with Spark, taking a small step from software engineering into the data science world. But before I dive into data analysis and ML, it’s important to say a few words ab...