PPT-Hadoop

Author : danika-pritchard | Published Date : 2016-03-17

The Definitive Guide Chap 4 Hadoop IO Kisung Kim Contents Integrity Compression Serialization Filebased Data Structure 2 18 Data Integrity When the volumes of

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Hadoop: Transcript

The Definitive Guide Chap 4 Hadoop IO Kisung Kim Contents Integrity Compression Serialization Filebased Data Structure 2 18 Data Integrity When the volumes of data flowing through the system are as large as the ones . An Overview. Credits . Author: Michael Guenther. Editor: Aaron Loucks. Dancing Elephants: Michael V. Shuman. What developers and architects see. 3. What capacity planning folks see. 4. What network folks see. Hadoop. : The Definitive Guide. Ch.1 Meet . Hadoop. May 28. th. , 2010. Taewhi. Lee. Outline . Data. !. Data Storage and Analysis. Comparison with Other Systems. RDBMS. Grid Computing. Volunteer Computing. Hadoop. Different types of network interactions found in . Hadoop. . (source . Cloudera. ). 1. . Hadoop. RPC calls – These are performed by clients using the . Hadoop. API, by MapReduce jobs, and among . Origins & Applications. Christopher Smith. Xavier Stevens. John Carnahan. Original Map & Reduce. LISP. map f(x) [x. 0. , x. 1. , …, x. n. ]. yields: [f(x. 0. ), f(x. 1. ), …, f(x. n. )]. reduce f(x, y) [x. Real-time and Long-time with Storm and . Hadoop. MapR. Contact:. tdunning@maprtech.com. @. ted_dunning. Slides and such:. http://info.mapr.com/ted-uk-05-2012. Hash tag: #. mapr_uk. Collective notes: http://. 2.0 and YARN. Subash. D’Souza. Who am I?. Senior Specialist Engineer at . Shopzilla. Co-Organizer for the Los Angeles . Hadoop. User group. Organizer for Los Angeles . HBase. User Group. Reviewer on Apache Flume: Distributed Log Processing, . HDInsight. . Lance Olson. Partner Group Program Manager. BRK2557. Big data and traditional data warehouse. Big data in the cloud. Cloud versus on-premises. Patterns and case studies. HDInsight workloads. Introduction. Hadoop and Spark Comparison. From Hadoop to Spark. Webinar Objectives. Intro: what is Hadoop and what is Spark?. Spark's capabilities . and . advantages vs Hadoop. From Hadoop to Spark – how to?. Ryan Hennig. Hadoop Platform Team. ABOUT ME. RYAN HENNIG. Born and raised in Seattle, WA. Studied Computer Science at University of Washington in Seattle. Worked on Microsoft SQL Server 2006 – 2012. MATT HOLLINGSWORTH. Q: Why . Hadoop. ?. A: Because you enjoy . pain. WHY HADOOP IS AGONY. Real title of this talk:. and you’re going to use it anyway. def. . run_job. (job):. . while True:. . exec(job). May 23. nd. . 2012. Matt Mead, Cloudera. Hadoop Distributed File System (HDFS). Self-Healing, High Bandwidth Clustered Storage. MapReduce. Distributed Computing Framework. Apache Hadoop. is an open source platform for data storage and processing that is…. Challenges and Lessons Learned. Matthew Jacobs. mj@cloudera.com. About this Talk. Building . monitoring . and diagnostic . tools for . Hadoop. How we think about . Hadoop. monitoring and diagnostics. H2K Infosys offers an online course on Hadoop and big data that equips learners with the skills and knowledge necessary to excel in this dynamic field.

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