SLIDESHARE . NET {}

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🌠 Phenomenal Traffic: 5M - 10M visitors per month


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$63,100 per month
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Keywords {🔍}

data, hadoop, pig, big, tweets, users, analysis, twitter, userid, research, introduction, graph, language, apache, pptx, map, reduce, correlating, user, output, tweet, features, prediction, natural, processing, counting, mapreduce, hive, pdf, count, analytics, latency, faster, time, usage, day, tutorial, overview, machines, party, clients, probabilities, covariance, influence, differ, mobile, kevin, machine, ppt, evolution,

Topics {✒️}

hadoop yarn architecture hadoop yarn tutorial concurrency real-world patterns lzo-compressed protocol buffers large-scale data migrations large-scale data processing lzo-compressed flat files apache pig tutorial pankaj dhussa /kevinweil/hadoop-lzo 23 mcp servers hitachi hadoop summit 2010 hadoop streaming ‣ presentation mark simos talk free distribution thousandeyes product innovations hive architecture apache pig arch submit search hadoop mysql query logs vanilla hadoop mapreduce analyzing big data machine learning pptx drrajdeepmadavi hive tutorial stage data flow pig version apache hive based computation interface hdfs high performance inderaj hadoop introduction pig ricardo varela city-wide wireless graph structures lead pdf schedkit alessio biancalana oss solution center international space station earth observations dr mesh routing algorithms compilation ur doin apache logs writing mapreduce jobs hadoop tutori hadoop ecosystem martinez   hadoop running hadoop 0 apache calcite

Questions {❓}

• Correlating Big Data ‣ What is the correlation between users with registered phones and users that tweet?
• Correlating Big Data ‣ probabilities, covariance, influence ‣ How does usage differ for mobile users?
• Counting Big Data ‣ Where are users querying from?
• Counting Big Data ‣ standard counts, min, max, std dev ‣ How many requests do we serve in a day?
• Enter Pig ‣ High level language ‣ Transformations on sets of records ‣ Process data one step at a time ‣ Easier than SQL?
• Hadoop introduction , Why and What is Hadoop ?
• How do you fast track Agentic automation use cases discovery?
• Introduction ‣ Hadoop Overview ‣ Why Pig?
• MapReduce?
• My Background ‣ Studied Mathematics and Physics at Harvard, Physics at Stanford ‣ Tropos Networks (city-wide wireless): mesh routing algorithms, GBs of data ‣ Cooliris (web media): Hadoop and Pig for analytics, TBs of data ‣ Twitter: Hadoop, Pig, machine learning, visualization, social graph analysis, ?
• Pig Tutorial | Apache Pig Tutorial | What Is Pig In Hadoop?
• Questions?
• Research on Big Data ‣ How well can we detect bots and other non-human tweeters?
• Research on Big Data ‣ prediction, graph analysis, natural language ‣ Sentiment analysis ‣ What features get a tweet retweeted?
• Research on Big Data ‣ prediction, graph analysis, natural language ‣ What can we tell about a user from their tweets?
• What is Big Data?
• What is the hourly distribution?
• What’s my job again?
• Why Hadoop?
• Why Pig?
• ‣ Analysis typically done in Java ‣ Single-input, two-stage data flow is rigid ‣ Projections, filters: custom code ‣ Joins: lengthy, error-prone ‣ n-stage jobs: Hard to manage ‣ Prototyping/exploration requires ‣ analytics in Eclipse?
• ‣ select count(*) from tweets?
• ‣ select count(*) from users?

Schema {🗺️}

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