Re: incremental loads into hadoop

2011-10-03 Thread Mohit Anchlia
Seigal selek...@yahoo.com Sender: saurabh@gmail.com Date: Sat, 1 Oct 2011 15:50:46 To: common-user@hadoop.apache.org Reply-To: common-user@hadoop.apache.org Subject: Re: incremental loads into hadoop Hi Bejoy, Thanks for the response. While reading about Hadoop, I have come across

Re: incremental loads into hadoop

2011-10-03 Thread in.abdul
be incrementally loaded and processed into Hadoop ? Thank you, Sam -- If you reply to this email, your message will be added to the discussion below: http://lucene.472066.n3.nabble.com/incremental-loads-into-hadoop-tp3383949p3383949.html To unsubscribe from

Re: incremental loads into hadoop

2011-10-03 Thread Sam Seigal
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Re: incremental loads into hadoop

2011-10-02 Thread bejoy . hadoop
@hadoop.apache.org Subject: Re: incremental loads into hadoop Hi Bejoy, Thanks for the response. While reading about Hadoop, I have come across threads where people claim that Hadoop is not a good fit for a large amount of small files. It is good for files that are gigabyes/petabytes in size. If I am doing

Re: incremental loads into hadoop

2011-10-01 Thread Bejoy KS
Sam Try looking into Flume if you need to load incremental data into hdfs . If the source data is present on some JDBC compliant data bases then you can use SQOOP to get in the data directly into hdfs or hive incrementally. For Big Data Aggregation and Analytics Hadoop is definitely a good

Re: incremental loads into hadoop

2011-10-01 Thread Sam Seigal
Hi Bejoy, Thanks for the response. While reading about Hadoop, I have come across threads where people claim that Hadoop is not a good fit for a large amount of small files. It is good for files that are gigabyes/petabytes in size. If I am doing incremental loads, let's say every hour. Do I

incremental loads into hadoop

2011-09-30 Thread Sam Seigal
Hi, I am relatively new to Hadoop and was wondering how to do incremental loads into HDFS. I have a continuous stream of data flowing into a service which is writing to an OLTP store. Due to the high volume of data, we cannot do aggregations on the OLTP store, since this starts affecting the