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Data Engineering with AWS Cookbook. A recipe-based approach to help you tackle data engineering problems with AWS services

Język publikacji: angielskim
Data Engineering with AWS Cookbook. A recipe-based approach to help you tackle data engineering problems with AWS services Trâm Ngoc Pham, Gonzalo Herreros González, Viquar  Khan, Huda Nofal - okladka książki

Data Engineering with AWS Cookbook. A recipe-based approach to help you tackle data engineering problems with AWS services Trâm Ngoc Pham, Gonzalo Herreros González, Viquar  Khan, Huda Nofal - okladka książki

Serie wydawnicze:
Cookbook
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
528
Performing data engineering with Amazon Web Services (AWS) combines AWS's scalable infrastructure with robust data processing tools, enabling efficient data pipelines and analytics workflows. This comprehensive guide to AWS data engineering will teach you all you need to know about data lake management, pipeline orchestration, and serving layer construction.
Through clear explanations and hands-on exercises, you’ll master essential AWS services such as Glue, EMR, Redshift, QuickSight, and Athena. Additionally, you’ll explore various data platform topics such as data governance, data quality, DevOps, CI/CD, planning and performing data migration, and creating Infrastructure as Code. As you progress, you will gain insights into how to enrich your platform and use various AWS cloud services such as AWS EventBridge, AWS DataZone, and AWS SCT and DMS to solve data platform challenges.
Each recipe in this book is tailored to a daily challenge that a data engineer team faces while building a cloud platform. By the end of this book, you will be well-versed in AWS data engineering and have gained proficiency in key AWS services and data processing techniques. You will develop the necessary skills to tackle large-scale data challenges with confidence.

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O autorze książki

Huda Nofal is a Data Engineer with a strong background in the internet industry. She is skilled in Data Warehousing, Python programming, and Extract, Transform, Load (ETL) processes. Huda also has a keen interest in Deep Learning and Machine Learning. She holds a Bachelor's degree in Computer and Information Systems from the University of Jordan.

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