Applying MapReduce to Common Data Problems Video Training

Applying MapReduce to Common Data Problems Video Training
Duration: 2h 2m | Video: h264, yuv420p, 960 x 540 30fps | Audio: aac, 44100 Hz, 2 ch | 283 MB
Genre: eLearning | Language: English | Project Files
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.
Title: Applying MapReduce to Common Data Problems Video Training
Size: 215.53 MB | Format: rar
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