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Big Data

amazon elastic mapreduce
Big DataBlog
December 1, 2020

Amazon Elastic MapReduce web service

Introduction Hadoop as a platform enables us to store and process vast amounts of data. Storage capacity and processing power are directly related to the size of our Hadoop cluster and scaling it up is a simple as adding new nodes to the cluster. (more…)
Emir Arnautovic 0
Love0
row level timestamp consistency
Big DataBlog
January 6, 2013

HBase – Row level timestamp consistency in HBase

Multiple dimensions of data are supported by having multiple versions of each HBase table cell. This enables identification of each cell by 3 keys: row key, column, and version. (more…)
Davor Kovacic 0
Love1
hadoop identifying data
Big DataBlog
January 4, 2013

Hadoop – Identifying and skipping processed data

A paper on identifying and skipping processed data – an effort to minimize cloud resource wasting in Hadoop when processing data from HDFS. (more…)
Amir Hadzic 1
Love2

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