Data Engineering Beginners
Anthony Sinclair
2026. g. maijs · Independently Published · Ierunātājs: AI Voice Allan Murray
headphones
Audiogrāmata
3 h 25 min
nesaīsināta
family_home
Piemērota
info
Vai vēlaties bezmaksas fragmentu (9 min)? Klausieties jebkurā laikā — pat bezsaistē.
Pievienot
Par šo audiogrāmatu
This audiobook is narrated by an AI Voice. Data is the backbone of every modern business — but raw data alone has little value without the systems that collect, transform, store, and deliver it efficiently. Data Engineering is your practical guide to designing scalable data pipelines, managing large-scale data architectures, and building reliable data platforms that power analytics, machine learning, and business intelligence.
This book takes readers from foundational concepts to advanced engineering practices used by today’s leading technology companies. You’ll explore data modeling, ETL and ELT pipelines, cloud-based architectures, distributed processing frameworks, real-time streaming, orchestration tools, and data warehousing strategies. Along the way, you’ll gain hands-on insights into technologies such as Apache Spark, Kafka, Airflow, SQL, Python, and cloud ecosystems like AWS, Azure, and Google Cloud.
Designed for aspiring data engineers, software developers, analysts, and IT professionals, this book combines theory with practical examples, industry best practices, and real-world case studies. Whether you are building your first pipeline or modernizing enterprise-scale data infrastructure, this guide will help you create systems that are scalable, secure, and production-ready.
This book takes readers from foundational concepts to advanced engineering practices used by today’s leading technology companies. You’ll explore data modeling, ETL and ELT pipelines, cloud-based architectures, distributed processing frameworks, real-time streaming, orchestration tools, and data warehousing strategies. Along the way, you’ll gain hands-on insights into technologies such as Apache Spark, Kafka, Airflow, SQL, Python, and cloud ecosystems like AWS, Azure, and Google Cloud.
Designed for aspiring data engineers, software developers, analysts, and IT professionals, this book combines theory with practical examples, industry best practices, and real-world case studies. Whether you are building your first pipeline or modernizing enterprise-scale data infrastructure, this guide will help you create systems that are scalable, secure, and production-ready.
This audiobook is narrated by an AI Voice. Data is the backbone of every modern business — but raw data alone has little value without the systems that collect, transform, store, and deliver it efficiently. Data Engineering is your practical guide to designing scalable data pipelines, managing la...
Novērtējiet šo audiogrāmatu
Izsakiet savu viedokli!
Informācija par klausīšanos
Viedtālruņi un planšetdatori
Instalējiet lietotni Google Play grāmatas Android ierīcēm un iPad planšetdatoriem/iPhone tālruņiem. Lietotne tiks automātiski sinhronizēta ar jūsu kontu un ļaus lasīt saturu tiešsaistē vai bezsaistē neatkarīgi no jūsu atrašanās vietas.
Klēpjdatori un galddatori
Varat lasīt pakalpojumā Google Play iegādātās grāmatas, izmantojot datora tīmekļa pārlūkprogrammu.
