Books & Videos

Table of Contents

  1. Chapter 1 Getting Started

    1. Why R?

    2. Why Not R?

    3. The Solution: Parallel Execution

    4. A Road Map for This Book

    5. In a Hurry?

    6. Summary

  2. Chapter 2 snow

    1. Quick Look

    2. How It Works

    3. Setting Up

    4. Working with It

    5. When It Works…

    6. …And When It Doesn’t

    7. The Wrap-up

  3. Chapter 3 multicore

    1. Quick Look

    2. How It Works

    3. Setting Up

    4. Working with It

    5. When It Works…

    6. …And When It Doesn’t

    7. The Wrap-up

  4. Chapter 4 parallel

    1. Quick Look

    2. How It Works

    3. Setting Up

    4. Working with It

    5. Summary of Differences

    6. When It Works…

    7. …And When It Doesn’t

    8. The Wrap-up

  5. Chapter 5 A Primer on MapReduce and Hadoop

    1. Hadoop at Cruising Altitude

    2. A MapReduce Primer

    3. Thinking in MapReduce: Some Pseudocode Examples

    4. Binary and Whole-File Data: SequenceFiles

    5. No Cluster? No Problem! Look to the Clouds…

    6. The Wrap-up

  6. Chapter 6 R+Hadoop

    1. Quick Look

    2. How It Works

    3. Setting Up

    4. Working with It

    5. When It Works…

    6. …And When It Doesn’t

    7. The Wrap-up

  7. Chapter 7 RHIPE

    1. Quick Look

    2. How It Works

    3. Setting Up

    4. Working with It

    5. When It Works…

    6. …And When It Doesn’t

    7. The Wrap-up

  8. Chapter 8 Segue

    1. Quick Look

    2. How It Works

    3. Setting Up

    4. Working with It

    5. When It Works…

    6. …And When It Doesn’t

    7. The Wrap-up

  9. Chapter 9 New and Upcoming

    1. doRedis

    2. RevoScale R and RevoConnectR (RHadoop)

    3. cloudNumbers.com