Tag: Hive
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Apache AVRO: Data format for evolution of data
Flexible Data Format: Apache AVRO Apache AVRO is a data serialization format. It comes with an data definition format that is easy to understand. With the possibility to add optional fields there is a solution for evolution of the schemas for the data. Defining a Schema Defining a schema in Apache AVRO is quite easy, […]
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Apache HAWQ: Full SQL and MPP support on HDFS
Pivotal ported their massively parallel processing (MPP) database Greenplum to Hadoop and made it open source as an incubating project at Apache, called Apache HAWQ. This bring together full ANSI SQL with MPP capabilities and Hadoop integration. The integration in an existing Hadoop installation is easy, as you can integrate all existing data via external […]
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Comparing Stinger to Impala
With Hadoop 2.0 and the new additions of Stinger and Impala I did a (not representive) test of the performance on a Virtual Box running on my desktop computer. It was using the following setup: 4 GB RAM Intel Core i5 2500 3.3 GHz The datasets were the following: Dataset 1: 71.386.291 rows and 5 […]
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SQL on Hadoop: Facebook’s Presto
Earlier this month Facebook open sourced its own product for using SQL on Hadoop. It is called Presto and is something like Facebook’s answer to Cloudera’s Impala or Hortonwork’s Stinger already presented in an earlier post called SQL and Hadoop on this site. Presto is unlike Hive and more like Impala, since it doesn’t rely […]
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Hadoop and MPP
With Big Data Map/Reduce is always the first term that comes into mind. But it’s not the only way to handle large amounts of data. There are databasesystems especially built to deal with huge amounts of data and they are called Massively Parallel Processing (MPP) databases. MPP database systems have been around for a longer […]