Big Data Engineering for Beginners
Anthony Sinclair
maio de 2026 · Independently Published · Narrado por AI Voice Allan Murray
headphones
Audiolibro
3 h 3 min
Versión común
family_home
Apto
info
Queres unha mostra gratuíta de 9 min? Escoita o contido cando queiras, incluso sen conexión.
Engadir
Acerca deste audiolibro
This audiobook is narrated by an AI Voice. In today’s digital world, organizations generate enormous volumes of data every second from websites, mobile applications, social media, sensors, financial systems, and connected devices. Managing and processing this data efficiently requires modern engineering solutions capable of handling massive scale, speed, and complexity. Big Data Engineering for Beginners is a practical introduction to the technologies, tools, and architectures used to build powerful big data systems.
This beginner-friendly guide explains the foundations of big data engineering in a simple and accessible way, making it ideal for students, software developers, IT professionals, data analysts, and aspiring data engineers. Readers will learn how large-scale data platforms are designed, how distributed systems process enormous datasets, and how organizations transform raw data into meaningful insights.
The book introduces core big data concepts such as distributed storage, parallel processing, batch and real-time data pipelines, data lakes, cloud computing, and scalable analytics architectures. Readers will also gain hands-on exposure to industry-standard tools and technologies including Hadoop, Apache Spark, Kafka, Hive, Airflow, SQL, Python, and cloud platforms like AWS, Azure, and Google Cloud.
This beginner-friendly guide explains the foundations of big data engineering in a simple and accessible way, making it ideal for students, software developers, IT professionals, data analysts, and aspiring data engineers. Readers will learn how large-scale data platforms are designed, how distributed systems process enormous datasets, and how organizations transform raw data into meaningful insights.
The book introduces core big data concepts such as distributed storage, parallel processing, batch and real-time data pipelines, data lakes, cloud computing, and scalable analytics architectures. Readers will also gain hands-on exposure to industry-standard tools and technologies including Hadoop, Apache Spark, Kafka, Hive, Airflow, SQL, Python, and cloud platforms like AWS, Azure, and Google Cloud.
This audiobook is narrated by an AI Voice. In today’s digital world, organizations generate enormous volumes of data every second from websites, mobile applications, social media, sensors, financial systems, and connected devices. Managing and processing this data efficiently requires modern engi...
Valora este audiolibro
Dános a túa opinión.
Información sobre como escoitar contido
Smartphones e tabletas
Instala a aplicación Google Play Libros para Android e iPad/iPhone. Sincronízase automaticamente coa túa conta e permíteche ler contido en liña ou sen conexión desde calquera lugar.
Portátiles e ordenadores de escritorio
Podes ler libros comprados en Google Play mediante o navegador web do teu ordenador.
