Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood

✍ Scribed by Supun Kamburugamuve, Saliya Ekanayake

Publisher: Wiley
Year: 2021
Tongue: English
Leaves: 416
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

PEEK “UNDER THE HOOD” OF BIG DATA ANALYTICS

The world of big data analytics grows ever more complex. And while many people can work superficially with specific frameworks, far fewer understand the fundamental principles of large-scale, distributed data processing systems and how they operate. In Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood, renowned big-data experts and computer scientists Drs. Supun Kamburugamuve and Saliya Ekanayake deliver a practical guide to applying the principles of big data to software development for optimal performance.

The authors discuss foundational components of large-scale data systems and walk readers through the major software design decisions that define performance, application type, and usability. You???ll learn how to recognize problems in your applications resulting in performance and distributed operation issues, diagnose them, and effectively eliminate them by relying on the bedrock big data principles explained within.

Moving beyond individual frameworks and APIs for data processing, this book unlocks the theoretical ideas that operate under the hood of every big data processing system.

Ideal for data scientists, data architects, dev-ops engineers, and developers, Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood shows readers how to:

Identify the foundations of large-scale, distributed data processing systems

Make major software design decisions that optimize performance

Diagnose performance problems and distributed operation issues

Understand state-of-the-art research in big data

Explain and use the major big data frameworks and understand what underpins them

Use big data analytics in the real world to solve practical problems

✦ Subjects

database, big, data, analytics, intensive, applications

📜 SIMILAR VOLUMES

Foundations of Data Intensive Applicatio

📁 Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood

✍ Supun Kamburugamuve, Saliya Ekanayake 📂 Library 📅 2021 🏛 Wiley 🌐 English

PEEK “UNDER THE HOOD” OF BIG DATA ANALYTICS The world of big data analytics grows ever more complex. And while many people can work superficially with specific frameworks, far fewer understand the fundamental principles of large-scale, distributed data processing systems and how the

Large-Scale Data Analytics

📁 Large-Scale Data Analytics

✍ Sherif Sakr, Anna Liu (auth.), Aris Gkoulalas-Divanis, Abderrahim Labbi (eds.) 📂 Library 📅 2014 🏛 Springer-Verlag New York 🌐 English

This edited book collects state-of-the-art research related to large-scale data analytics that has been accomplished over the last few years. This is among the first books devoted to this important area based on contributions from diverse scientific areas such as databases, data mining, superc

Large Scale Data Analytics

📁 Large Scale Data Analytics

✍ Chung Yik Cho, Rong Kun Jason Tan, John A. Leong, Amandeep S. Sidhu 📂 Library 📅 2019 🏛 Springer International Publishing 🌐 English

This book presents a language integrated query framework for big data. The continuous, rapid growth of data information to volumes of up to terabytes (1,024 gigabytes) or petabytes (1,048,576 gigabytes) means that the need for a system to manage and query information from large scale data sources

Data Just Right: Introduction to Large-S

📁 Data Just Right: Introduction to Large-Scale Data & Analytics

✍ Michael Manoochehri 📂 Library 📅 0 🏛 Addison-Wesley 🌐 English

The array of tools for collecting, storing, and gaining insight from data is huge and getting bigger every day. For people entering the field, that means digging through hundreds of Web sites and dozens of books to get the basics of working with data at scale. That’s why this book is a great a

Real-Time Data Analytics for Large Scale

📁 Real-Time Data Analytics for Large Scale Sensor Data

✍ Himansu Das, Nilanjan Dey, Valentina Emilia Balas 📂 Library 📅 2019 🏛 Academic Press 🌐 English

Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data

Data Just Right Introduction to Large-S

📁 Data Just Right Introduction to Large-Scale Data & Analytics

✍ Michael Manoochehri 📂 Library 📅 2013 🏛 Addison-Wesley Professional 🌐 English

Large-scale data analysis is now vitally important to virtually every business. Mobile and social technologies are generating massive datasets distributed cloud computing offers the resources to store and analyze them and professionals have radically new technologies at their command, including NoSQ