Cover Image

Big Data Processing Using Spark in Cloud /

The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding o...

Full description

Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Mittal, Mamta (Editor), Balas, Valentina E. (Editor), Goyal, Lalit Mohan (Editor), Kumar, Raghvendra (Editor)
Format:	eBook
Language:	English
Published:	Singapore : Springer Singapore : Imprint: Springer, 2019.
Edition:	1st ed. 2019.
Series:	Studies in big data. 43.
Subjects:	Big data. Computer security. Big Data. Systems and Data Security. Big Data/Analytics.
Online Access:	Connect to the full text of this electronic book

Similar Items

Data Science Landscape : Towards Research Standards and Protocols /
Published: (2018)

Innovations in Big Data Mining and Embedded Knowledge /
Published: (2019)

Intelligent Methods and Big Data in Industrial Applications /
Published: (2019)

Data Science and Big Data Analytics : ACM-WIR 2018 /
Published: (2019)

Applying Data Science : How to Create Value with Artificial Intelligence /
by: Kordon, Arthur K.
Published: (2020)

Data Teams : A Unified Management Model for Successful Data-Focused Teams /
by: Anderson, Jesse
Published: (2020)

Big Data Analytics : Proceedings of CSI 2015 /
Published: (2018)

Macroeconomic Forecasting in the Era of Big Data : Theory and Practice /
Published: (2020)

Data Analytics and Management : Proceedings of ICDAM /
Published: (2021)

Intelligent Computing and Innovation on Data Science : Proceedings of ICTIDS 2019 /
Published: (2020)

Data Science and Predictive Analytics : Biomedical and Health Applications using R /
by: Dinov, Ivo D.
Published: (2018)

Advances in Big Data and Cloud Computing : Proceedings of ICBDCC18 /
Published: (2019)

Data Engineering for Smart Systems : Proceedings of SSIC 2021 /
Published: (2022)

Data Privacy and Trust in Cloud Computing : Building trust in the cloud through assurance and accountability /
Published: (2021)

Building Machine Learning and Deep Learning Models on Google Cloud Platform : A Comprehensive Guide for Beginners /
by: Bisong, Ekaba
Published: (2019)

Big Data and Smart Digital Environment /
Published: (2019)

Applied Data Science Using PySpark : Learn the End-to-End Predictive Model-Building Cycle /
by: Kakarla, Ramcharan, et al.
Published: (2021)

Industrial Machine Learning : Using Artificial Intelligence as a Transformational Disruptor /
by: Vermeulen, Andreas François
Published: (2020)

Multimedia Big Data Computing for IoT Applications : Concepts, Paradigms and Solutions /
Published: (2020)

Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges /
Published: (2021)

Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing /
Published: (2021)

MATLAB Machine Learning Recipes : A Problem-Solution Approach /
by: Paluszek, Michael, et al.
Published: (2019)

Data Science Fundamentals for Python and MongoDB /
by: Paper, David
Published: (2018)

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 2 /
Published: (2022)

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 1 /
Published: (2022)

Combating Security Challenges in the Age of Big Data : Powered by State-of-the-Art Artificial Intelligence Techniques /
Published: (2020)

Proceedings of International Conference on Advances in Computer Engineering and Communication Systems : ICACECS 2020 /
Published: (2021)

Cross Reality and Data Science in Engineering : Proceedings of the 17th International Conference on Remote Engineering and Virtual Instrumentation /
Published: (2021)

Practical Web Scraping for Data Science : Best Practices and Examples with Python /
by: vanden Broucke, Seppe, et al.
Published: (2018)

Data Engineering and Intelligent Computing : Proceedings of ICICC 2020 /
Published: (2021)

Hands-on Scikit-Learn for Machine Learning Applications : Data Science Fundamentals with Python /
by: Paper, David
Published: (2020)

Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics : Theories and Applications /
Published: (2021)

Programming Persistent Memory : A Comprehensive Guide for Developers /
by: Scargall, Steve
Published: (2020)

Artificial Intelligence and Blockchain for Future Cybersecurity Applications /
Published: (2021)

Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity /
Published: (2020)

Deep Learning with Applications Using Python : Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras /
by: Manaswi, Navin Kumar
Published: (2018)

Python Data Analytics : With Pandas, NumPy, and Matplotlib /
by: Nelli, Fabio
Published: (2018)

Big Data in Engineering Applications /
Published: (2018)

Measuring the Business Value of Cloud Computing /
Published: (2020)

An Introduction to Data Analysis in R : Hands-on Coding, Data Mining, Visualization and Statistics from Scratch /
by: Zamora Saiz, Alfonso, et al.
Published: (2020)