Applying MapReduce to Common Data Problems (Janani Ravi, 2016)

Creation Time	Dec. 17, 2024, 2:33 p.m.
Last Access Time	Dec. 18, 2024, 1:45 p.m.
File Size	284.5 MB
Keywords	Applying Problems MapReduce to Ravi Common 2016 Data Janani
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Total Files	70
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4. Filtering Large Data Sets/6. Top N Records - Map Code.mp4 20.0 MB
4. Filtering Large Data Sets/2. Conditional Filtering - The MapReduce Code.mp4 19.5 MB
4. Filtering Large Data Sets/4. Distinct Values - The MapReduce Code.mp4 14.9 MB
5. Building Indexes/6. Inverted Index - The Main Class.mp4 14.8 MB
3. Computing Numeric Summary Metrics/06. Calculating Averages - The Main Class.mp4 14.3 MB
2. Thinking MapReduce/5. Download Hadoop Jars and Set up an Intellij Project.mp4 13.1 MB
3. Computing Numeric Summary Metrics/04. Calculating Averages - Map Code.mp4 11.5 MB
3. Computing Numeric Summary Metrics/11. Calculating Averages with a Combiner - Custom WritableComparable.mp4 11.3 MB
4. Filtering Large Data Sets/7. Top N Records - Reduce Code.mp4 10.3 MB
4. Filtering Large Data Sets/5. Finding the Top N Records in a Dataset.mp4 9.8 MB
3. Computing Numeric Summary Metrics/01. Insights from Numeric Summary Metrics.mp4 9.2 MB
2. Thinking MapReduce/2. Overview of MapReduce.mp4 9.0 MB
3. Computing Numeric Summary Metrics/13. Calculating Averages with a Combiner - Combiner Code.mp4 8.8 MB
2. Thinking MapReduce/3. MapReduce Hello World.mp4 8.8 MB
5. Building Indexes/4. Inverted Index - Map Code.mp4 8.5 MB
4. Filtering Large Data Sets/1. Filtering Datasets Based on a Condition.mp4 7.6 MB
4. Filtering Large Data Sets/3. Finding Distinct Values in a Field.mp4 7.2 MB
3. Computing Numeric Summary Metrics/03. Getting Census Data to Extract Insights.mp4 7.0 MB
3. Computing Numeric Summary Metrics/02. The Numeric Summarization MapReduce Pattern.mp4 6.8 MB
3. Computing Numeric Summary Metrics/05. Calculating Averages - Reduce Code.mp4 6.1 MB
5. Building Indexes/5. Inverted Index - Reduce Code.mp4 6.0 MB
3. Computing Numeric Summary Metrics/10. The Custom Writable Data Type.mp4 6.0 MB
2. Thinking MapReduce/4. More Parallelism with a Combiner.mp4 5.8 MB
5. Building Indexes/2. What Is an Inverted Index.mp4 5.8 MB
5. Building Indexes/1. Massive Indexes Power Search Engines.mp4 5.6 MB
3. Computing Numeric Summary Metrics/09. Calculating Averages - The Right Way to Use a Combiner.mp4 5.4 MB
3. Computing Numeric Summary Metrics/12. Calculating Averages with a Combiner - Updating the MapReduce Code.mp4 5.2 MB
5. Building Indexes/3. MapReduce to Build an Inverted Index.mp4 5.0 MB
3. Computing Numeric Summary Metrics/08. Calculating Averages - Using a Reducer as a Combiner.mp4 5.0 MB
4. Filtering Large Data Sets/8. Top N Records - The Main Class.mp4 4.8 MB
3. Computing Numeric Summary Metrics/07. Combiners for Greater Parallelism.mp4 4.6 MB
1. Course Overview/1. Course Overview.mp4 4.5 MB
exercise.7z 1.6 MB
2. Thinking MapReduce/1. Version Check.mp4 515.8 KB
cover.jpg 78.3 KB
4. Filtering Large Data Sets/6. Top N Records - Map Code.vtt 9.5 KB
4. Filtering Large Data Sets/2. Conditional Filtering - The MapReduce Code.vtt 9.4 KB
4. Filtering Large Data Sets/5. Finding the Top N Records in a Dataset.vtt 8.4 KB
2. Thinking MapReduce/5. Download Hadoop Jars and Set up an Intellij Project.vtt 7.7 KB
2. Thinking MapReduce/2. Overview of MapReduce.vtt 7.2 KB
4. Filtering Large Data Sets/4. Distinct Values - The MapReduce Code.vtt 6.3 KB
2. Thinking MapReduce/3. MapReduce Hello World.vtt 5.8 KB
3. Computing Numeric Summary Metrics/06. Calculating Averages - The Main Class.vtt 5.7 KB
4. Filtering Large Data Sets/1. Filtering Datasets Based on a Condition.vtt 5.7 KB
4. Filtering Large Data Sets/3. Finding Distinct Values in a Field.vtt 5.4 KB
3. Computing Numeric Summary Metrics/11. Calculating Averages with a Combiner - Custom WritableComparable.vtt 5.4 KB
3. Computing Numeric Summary Metrics/04. Calculating Averages - Map Code.vtt 5.3 KB
5. Building Indexes/1. Massive Indexes Power Search Engines.vtt 5.3 KB
3. Computing Numeric Summary Metrics/02. The Numeric Summarization MapReduce Pattern.vtt 5.0 KB
5. Building Indexes/6. Inverted Index - The Main Class.vtt 4.9 KB
2. Thinking MapReduce/4. More Parallelism with a Combiner.vtt 4.4 KB
5. Building Indexes/2. What Is an Inverted Index.vtt 4.3 KB
4. Filtering Large Data Sets/7. Top N Records - Reduce Code.vtt 4.3 KB
3. Computing Numeric Summary Metrics/10. The Custom Writable Data Type.vtt 4.2 KB
3. Computing Numeric Summary Metrics/09. Calculating Averages - The Right Way to Use a Combiner.vtt 3.9 KB
3. Computing Numeric Summary Metrics/13. Calculating Averages with a Combiner - Combiner Code.vtt 3.8 KB
5. Building Indexes/3. MapReduce to Build an Inverted Index.vtt 3.8 KB
3. Computing Numeric Summary Metrics/07. Combiners for Greater Parallelism.vtt 3.8 KB
5. Building Indexes/4. Inverted Index - Map Code.vtt 3.8 KB
3. Computing Numeric Summary Metrics/01. Insights from Numeric Summary Metrics.vtt 3.8 KB
3. Computing Numeric Summary Metrics/05. Calculating Averages - Reduce Code.vtt 3.6 KB
3. Computing Numeric Summary Metrics/08. Calculating Averages - Using a Reducer as a Combiner.vtt 3.5 KB
3. Computing Numeric Summary Metrics/03. Getting Census Data to Extract Insights.vtt 2.9 KB
5. Building Indexes/5. Inverted Index - Reduce Code.vtt 2.8 KB
playlist.m3u 2.4 KB
3. Computing Numeric Summary Metrics/12. Calculating Averages with a Combiner - Updating the MapReduce Code.vtt 2.3 KB
4. Filtering Large Data Sets/8. Top N Records - The Main Class.vtt 2.2 KB
1. Course Overview/1. Course Overview.vtt 2.0 KB
~i.txt 1.3 KB
2. Thinking MapReduce/1. Version Check.vtt 7 bytes

Applying MapReduce to Common Data Problems (Janani Ravi, 2016)

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