Applying MapReduce to Common Data Problems (Janani Ravi, 2016)
File Information:
File List:
- 4. Filtering Large Data Sets/6. Top N Records - Map Code.mp4 20.47 MB
- 4. Filtering Large Data Sets/2. Conditional Filtering - The MapReduce Code.mp4 19.94 MB
- 4. Filtering Large Data Sets/4. Distinct Values - The MapReduce Code.mp4 15.23 MB
- 5. Building Indexes/6. Inverted Index - The Main Class.mp4 15.18 MB
- 3. Computing Numeric Summary Metrics/06. Calculating Averages - The Main Class.mp4 14.66 MB
- 2. Thinking MapReduce/5. Download Hadoop Jars and Set up an Intellij Project.mp4 13.45 MB
- 3. Computing Numeric Summary Metrics/04. Calculating Averages - Map Code.mp4 11.77 MB
- 3. Computing Numeric Summary Metrics/11. Calculating Averages with a Combiner - Custom WritableComparable.mp4 11.58 MB
- 4. Filtering Large Data Sets/7. Top N Records - Reduce Code.mp4 10.56 MB
- 4. Filtering Large Data Sets/5. Finding the Top N Records in a Dataset.mp4 10.05 MB
- 3. Computing Numeric Summary Metrics/01. Insights from Numeric Summary Metrics.mp4 9.41 MB
- 2. Thinking MapReduce/2. Overview of MapReduce.mp4 9.19 MB
- 3. Computing Numeric Summary Metrics/13. Calculating Averages with a Combiner - Combiner Code.mp4 9.05 MB
- 2. Thinking MapReduce/3. MapReduce Hello World.mp4 8.98 MB
- 5. Building Indexes/4. Inverted Index - Map Code.mp4 8.71 MB
- 4. Filtering Large Data Sets/1. Filtering Datasets Based on a Condition.mp4 7.81 MB
- 4. Filtering Large Data Sets/3. Finding Distinct Values in a Field.mp4 7.33 MB
- 3. Computing Numeric Summary Metrics/03. Getting Census Data to Extract Insights.mp4 7.21 MB
- 3. Computing Numeric Summary Metrics/02. The Numeric Summarization MapReduce Pattern.mp4 6.94 MB
- 3. Computing Numeric Summary Metrics/05. Calculating Averages - Reduce Code.mp4 6.29 MB
- 5. Building Indexes/5. Inverted Index - Reduce Code.mp4 6.12 MB
- 3. Computing Numeric Summary Metrics/10. The Custom Writable Data Type.mp4 6.12 MB
- 2. Thinking MapReduce/4. More Parallelism with a Combiner.mp4 5.97 MB
- 5. Building Indexes/2. What Is an Inverted Index.mp4 5.92 MB
- 5. Building Indexes/1. Massive Indexes Power Search Engines.mp4 5.75 MB
- 3. Computing Numeric Summary Metrics/09. Calculating Averages - The Right Way to Use a Combiner.mp4 5.50 MB
- 3. Computing Numeric Summary Metrics/12. Calculating Averages with a Combiner - Updating the MapReduce Code.mp4 5.36 MB
- 5. Building Indexes/3. MapReduce to Build an Inverted Index.mp4 5.11 MB
- 3. Computing Numeric Summary Metrics/08. Calculating Averages - Using a Reducer as a Combiner.mp4 5.11 MB
- 4. Filtering Large Data Sets/8. Top N Records - The Main Class.mp4 4.92 MB
- 3. Computing Numeric Summary Metrics/07. Combiners for Greater Parallelism.mp4 4.66 MB
- 1. Course Overview/1. Course Overview.mp4 4.58 MB
- exercise.7z 1.59 MB
- 2. Thinking MapReduce/1. Version Check.mp4 528 KB
- cover.jpg 80 KB
- 4. Filtering Large Data Sets/6. Top N Records - Map Code.vtt 9 KB
- 4. Filtering Large Data Sets/2. Conditional Filtering - The MapReduce Code.vtt 9 KB
- 4. Filtering Large Data Sets/5. Finding the Top N Records in a Dataset.vtt 8 KB
- 2. Thinking MapReduce/5. Download Hadoop Jars and Set up an Intellij Project.vtt 7 KB
- 2. Thinking MapReduce/2. Overview of MapReduce.vtt 7 KB
- 4. Filtering Large Data Sets/4. Distinct Values - The MapReduce Code.vtt 6 KB
- 2. Thinking MapReduce/3. MapReduce Hello World.vtt 5 KB
- 3. Computing Numeric Summary Metrics/06. Calculating Averages - The Main Class.vtt 5 KB
- 4. Filtering Large Data Sets/1. Filtering Datasets Based on a Condition.vtt 5 KB
- 4. Filtering Large Data Sets/3. Finding Distinct Values in a Field.vtt 5 KB
- 3. Computing Numeric Summary Metrics/11. Calculating Averages with a Combiner - Custom WritableComparable.vtt 5 KB
- 3. Computing Numeric Summary Metrics/04. Calculating Averages - Map Code.vtt 5 KB
- 5. Building Indexes/1. Massive Indexes Power Search Engines.vtt 5 KB
- 3. Computing Numeric Summary Metrics/02. The Numeric Summarization MapReduce Pattern.vtt 5 KB
- 5. Building Indexes/6. Inverted Index - The Main Class.vtt 5 KB
Applying MapReduce to Common Data Problems (Janani Ravi, 2016)
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