Applying MapReduce to Common Data Problems

Knowing how to program MapReduce is only half the battle. In this course, you'll learn how to set up the correct MapReduce based on what you want to accomplish.

This course, Applying MapReduce to Common Data Problems, helps you with three unique MapReduce patterns: summarizing numeric data, filtering large datasets, and building an index for fast data lookup. First, you'll learn about how you start "Thinking MapReduce" including what's involved and what needs to be broken down to start thinking in these terms. Next, you'll explore how to compute numeric summary metrics, and how to filter large data sets. Finally, you'll wrap up the course by learning about building indices, and why an inverted index is so important in the context of search engines. After watching this course, you'll have the confidence to spot patterns in MapReduce problems and will be on you're way to mastering this programming model.

• Course Overview 1min
• Thinking MapReduce 20mins
• Computing Numeric Summary Metrics 42mins
• Filtering Large Data Sets 38mins
• Building Indexes 19mins