Data Engineering with AWS Cookbook: A recipe-based approach to help you tackle data engineering problems with AWS services
Author:by Trâm Ngọc Phạm (Author), Gonzalo Herreros González (Author), Viquar Khan (Author), Huda Nofal (Author)
Publisher finelybook 出版社:Packt Publishing
Edition 版本:N/A
Publication Date 出版日期:2024-11-29
Language 语言:English
Print Length 页数:528pages
ISBN-10:1805127284
ISBN-13:9781805127284
Book Description
Review
“This book is highly recommended for both novices and seasoned professionals in the AWS analytics landscape. Its comprehensive coverage of services like AWS Glue, Amazon Redshift, and Amazon QuickSight, coupled with well-documented, replicable recipes, makes it an invaluable resource. The book’s dedication to migration strategies is particularly noteworthy, offering a well-designed guideline to organizations transitioning from legacy systems. While dense with information, its practical approach ensures readers can immediately apply their learnings. A must-have for anyone serious about leveraging AWS for data engineering.”
Noritaka Sekiyama, Principal Big Data Architect, AWS Glue; Author of Serverless ETL and Analytics with AWS Glue
About the Author
Trâm Ngọc Phạm is a senior data architect with over a decade of hands-on experience working in the big data and AI field, from playing a lead role in tailoring cloud data platforms to BI and analytics use cases for enterprises in Vietnam. While working as a Senior Data and Analytics consultant for the AWS Professional Services team, she specialized in guiding finance and telco companies across Southeast Asian countries to build enterprise-scale data platforms and drive analytics use cases that utilized AWS services and big data tools.
Gonzalo Herreros González is a principal data architect. He holds a bachelor’s degree in computer science and a master’s degree in data analytics. He has experience of over a decade in big data and two decades of software development, both in AWS and on-premises.
Previously, he worked at MasterCard where he achieved the first PCI-DSS Hadoop cluster in the world. More recently, he worked at AWS for over 6 years, building data pipelines for the internal network data, and later, as an architect in the AWS Glue service team, building transforms for AWS Glue Studio and helping large customers succeed with AWS data services.
Viquar Khan is a senior data architect at AWS Professional Services and brings over 20 years of expertise in finance and data analytics, empowering global financial institutions to harness the full potential of AWS technologies. He designs cutting-edge, customized data solutions tailored to complex industry needs. A polyglot developer skilled in Java, Scala, Python, and other languages, Viquar has excelled in various technical roles. As an expert group member of JSR368 (JavaTM Message Service 2.1), he has shaped industry standards and actively contributes to open source projects such as Apache Spark and Terraform. His technical insights have reached and benefited over 6.7 million users on Stack Overflow.
Huda Nofal is a seasoned data engineer with over 7 years of experience at Amazon, where she has played a key role in helping internal business teams achieve their data goals. With deep expertise in AWS services, she has successfully designed and implemented data pipelines that power critical decision-making processes across various organizations. Huda’s work primarily focuses on leveraging Redshift, Glue, data lakes, and Lambda to create scalable, efficient data solutions.
下载地址
相关推荐
C++ Memory Management: Write leaner and safer C++ code using proven memory-management techniques
Quantum Computing and Artificial Intelligence: The Industry Use Cases
Elliptic Curve Cryptography for Developers
Build Your Own Test Framework: A Practical Guide to Writing Better Automated Tests
Java Unit Testing with JUnit 5: Test Driven Development with JUnit 5
Agent-Based Models with MATLAB