Note: Supplemental materials are not guaranteed with Rental or Used book purchases.
Purchase Benefits
What is included with this book?
Part I. Directives in the Big Data Era
1. The Four Guiding Principles For Data Success
Part II. Collecting and Sharing a lot of Data
2. How to Host and Share 5 Terabytes of Data
3. Building a NoSQL-Based Web App to Collect Crowd-Sourced Data
4. Strategies for Breaking Down Data Silos
Part III. Asking Questions About Your Data
5. Using Hadoop, Hive, and Pig to Ask Questions About Large Data
6. Building a Data Dashboard With Google Bigquery
7. Preparing Big Data Sets for Visualization with Tableau
Part IV. Data Pipelines And Real Time Data
8. What is a Data Pipeline?
9. Building a Hadoop-Based Data Transformation Pipeline With Cascading
10. Analyzing Snapshots of Streaming Data with Twitter Storm
Part V. Machine Learning For Large Datasets
11. Building a Big Data Classification System with Mahout
Part VI. Statistical Analysis For Massive Datasets
12. Using R with Large Datasets
13. Build an Analytics Workflow With Pandas
Part VII. Practical Solutions To Big Data
14. When to Build, When to Buy, When to Outsource
The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.