Big Data Engineering for Beginners
Anthony Sinclair
מאי 2026 · Independently Published · בקריינות של AI Voice Allan Murray
headphones
ספר אודיו
3 שע' 3 דק'
לא מקוצר
family_home
כשיר
info
רוצה להאזין לדוגמה בחינם באורך 9 דק'? אפשר להאזין בכל זמן, אפילו ללא חיבור לאינטרנט.
הוספה
מידע על ספר האודיו הזה
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...
רוצה לדרג את ספר האודיו הזה?
נשמח לשמוע מה דעתך.
פרטי האזנות
סמארטפונים וטאבלטים
כל מה שצריך לעשות הוא להתקין את האפליקציה של Google Play Books ל-Android או ל-iPad/iPhone. היא מסתנכרנת באופן אוטומטי עם החשבון שלך ומאפשרת לך לקרוא מכל מקום, גם ללא חיבור לאינטרנט.
מחשבים ניידים ושולחניים
ניתן לקרוא ספרים שנרכשו ב-Google Play באמצעות דפדפן האינטרנט שבמחשב שלך.
