Pro Hadoop Data Analytics Designing and Building Big Data Systems using the Hadoop Ecosystem /

• Main Author: Koitzsch, Kerry (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2017.
• Subjects: Computer science.; Computer programming.; Programming languages (Electronic computers).; Data mining.; Computer Science.; Big Data.; Programming Techniques.; Programming Languages, Compilers, Interpreters.; Data Mining and Knowledge Discovery.

Learn advanced analytical techniques and leverage existing toolkits to make your analytic applications more powerful, precise, and efficient. This book provides the right combination of architecture, design, and implementation information to create analytical systems which go beyond the basics of cl...

Table of Contents:

• Chapter 1: Overview: Building Data Analytic Systems with Hadoop
• Chapter 2: A Scala and Python Refresher
• Chapter 3: Standard Toolkits for Hadoop and Analytics
• Chapter 4: Relational, noSQL, and Graph Databases
• Chapter 5: Data Pipelines and How to Construct Them
• Chapter 6: Advanced Search Techniques with Hadoop, Lucene, and Solr
• Chapter 7: An Overview of Analytical Techniques and Algorithms
• Chapter 8: Rule Engines, System Control, and System Orchestration
• Chapter 9: Putting it All Together: Designing a Complete Analytical System
• Chapter 10: Data Visualizers: Seeing and Interacting with the Analysis
• Chapter 11: A Case Study in Bioinformatics: Analyzing Microscope Slide Data
• Chapter 12: A Bayesian Analysis Software Component: Identifying Credit Card Fraud
• Chapter 13: Searching for Oil: Geological Data Analysis with Mahout
• Chapter 14: ‘Image as Big Data’ Systems: Some Case Studies
• Chapter 15: A Generic Data Pipeline Analytical System
• Chapter 16: Conclusions and The Future of Big Data Analysis.