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Hadoop: The Definitive Guide MapReduce for the Cloud - MapReduce for the Cloud

... Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive ... and run distributed computations over those datasets using MapReduce - Become familiar with Hadoop's data and I/O building blocks for ...

Publication - kolb - 11/27/2020 - 21:49 - 0 attachments

Automatic Optimization for MapReduce Programs

... Ré, C The MapReduce distributed programming framework has become popular, despite ... relational databases to complete similar tasks. MapReduce jobs are amenable to many traditional database query optimizations ...

Publication - admin - 11/28/2020 - 00:38 - 1 attachment

Processing theta-joins using MapReduce

... analysis tasks, but are not supported directly by the MapReduce paradigm. While there has been progress on equi-joins, implementation of join algorithms in MapReduce in general is not sufficiently un- derstood. We study the problem ... simplifies creation of and reasoning about joins in MapReduce. Using this model, we derive a surprisingly simple randomized ...

Publication - kolb - 11/27/2020 - 23:38 - 1 attachment

The Performance of MapReduce: An in-depth Study

... Recently, a new distributed com- puting paradigm, called MapReduce, and its open source implementation Hadoop, has been widely adopted ... data warehouse system, called Cheetah, built on top of MapReduce. Cheetah is designed specifically for our online advertising ...

Publication - kolb - 11/27/2020 - 23:49 - 1 attachment

Cheetah: A High Performance, Custom Data Warehouse on Top of MapReduce

... Recently, a new distributed com- puting paradigm, called MapReduce, and its open source implementation Hadoop, has been widely adopted ... data warehouse system, called Cheetah, built on top of MapReduce. Cheetah is designed specifically for our online advertising ...

Publication - kolb - 11/27/2020 - 23:16 - 1 attachment

Mapreduce: A major step backwards

... research efforts, and we'll begin here with our views on MapReduce. This is a good time to discuss it, since the recent trade press has ... how to program such clusters using a software tool called MapReduce [1]. Berkeley has gone so far as to plan on teaching their freshman ...

Publication - admin - 11/27/2020 - 03:49 - 0 attachments

Building a High-Level Dataflow System on top of Map-Reduce: The Pig Experience

... 529.63 KB (Hadoop, language, MapReduce, Parallel Data Processing, Pig, Pig Latin) ...

Publication - admin - 11/27/2020 - 03:16 - 1 attachment

Hive - A Warehousing Solution Over a Map-Reduce Framework

... (Cloud Database, Data Warehouse, Hadoop, Hive, HiveQL, MapReduce, Parallel Data Processing) ...

Publication - admin - 11/28/2020 - 03:16 - 1 attachment

Multi-pass sorted neighborhood blocking with MapReduce

... challenges and possible solu- tions of using the MapReduce programming model for par- allel entity resolution using Sorting ... blocking (SN). We propose and evaluate two efficient MapReduce- based implementations for single- and multi-pass SN that either ...

Publication - kolb - 11/27/2020 - 03:05 - 1 attachment

SkewTune: Mitigating Skew in MapReduce Applications

... an automatic skew mitigation approach for user- defined MapReduce programs and present SkewTune, a sys- tem that implements this approach as a drop-in replacement for an existing MapReduce implementation. There are three key challenges: (a) require no extra ...

Publication - kolb - 11/28/2020 - 03:38 - 1 attachment