Big Data Engineering for Beginners
Anthony Sinclair
thg 5 2026 · Independently Published · Người đọc: AI Voice Allan Murray
headphones
Sách nói
3 giờ 3 phút
Không rút gọn
family_home
Đủ điều kiện
info
Bạn muốn thêm một đoạn mẫu miễn phí dài 9 phút? Nghe bất kỳ lúc nào, cả khi ngoại tuyến.
Thêm
Giới thiệu về sách nói này
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...
Xếp hạng sách nói này
Cho chúng tôi biết suy nghĩ của bạn.
Thông tin nghe
Điện thoại thông minh và máy tính bảng
Cài đặt ứng dụng Google Play Sách cho Android và iPad/iPhone. Ứng dụng sẽ tự động đồng bộ hóa với tài khoản của bạn và cho phép bạn đọc trực tuyến hoặc ngoại tuyến dù cho bạn ở đâu.
Máy tính xách tay và máy tính
Bạn có thể đọc sách mua trên Google Play bằng cách sử dụng trình duyệt web của máy tính.
