LibGuides: TIM-8530 v5: Week 5 Resources

Week 5 Resources

Big Data Fundamentals: Concepts, Drivers, & Techniques
Khattak, W., Buhler, P., & Erl, T. (2016). Big data fundamentals: Concepts, drivers, & techniques. Pearson.
Read Chapter 6 – Big Data Processing Concepts.
This chapter explains how parallel and distributed data processing works and how the Hadoop MapReduce framework is used in the processing of big data.
Practical Big Data Analytics: Hands-On Techniques to Implement Enterprise Analytics and Machine Learning Using Hadoop, Spark, NoSQL, and R
Read all sections from Big Data With Hadoop to Summary.
This chapter explains how the Hadoop MapReduce framework is used in the processing of big data.
Mastering Hadoop 3
Singh, C., & Kumar, M. (2019). Mastering Hadoop 3. Packt Publishing.
Read all sections from Deep Dive Into the Hadoop MapReduce Framework to Summary.
This chapter explains how the Hadoop MapReduce framework is used in provides a specific use case scenario to clarify map and reduce concepts.