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About me
Pascal Alma
Pascal is a senior IT consultant and has been working in IT since 1997. He is monitoring the latest development in new technologies (Mobile, Cloud, Big Data) closely and particularly interested in Java open source tool stacks, cloud related technologies like AWS and mobile development like building iOS apps with Swift. Specialties: Java/JEE/Spring Amazon AWS API/REST Big Data Continuous Delivery Swift/iOS
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Tag Archives: AWS EMR
Running PageRank Hadoop job on AWS Elastic MapReduce
In a previous post I described an example to perform a PageRank calculation which is part of the Mining Massive Dataset course with Apache Hadoop. In that post I took an existing Hadoop job in Java and modified it somewhat … Continue reading
Run your Hadoop MapReduce job on Amazon EMR
I have posted a while ago how to setup an EMR cluster by using CLI. In this post I will show how to setup the cluster by using the Java SDK for AWS. The best way to show how to … Continue reading
Hadoop on the Amazon cloud by BigData’University’
Last night I stumbled upon this free online training program where you could learn about how to combine Hadoop and Amazon AWS! You would even receive a certificate if you passed the test at the end of the course. So … Continue reading
(Not so) deep dive on Databases on AWS
Last week I attended to a webinar of AWS for partners called ‘Deep Dive on Databases on AWS’. Although I know my way around in AWS it can never hurt to attend to webinars like these to see if there … Continue reading
Posted in AWS, cloud
Tagged AWS, AWS DynamoDB, AWS EMR
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Running Hive jobs on AWS EMR
In a previous post I showed how to run a simple job using AWS Elastic MapReduce (EMR). In this example we continue to make use of EMR but now to run a Hive job. Hive is a data warehouse system … Continue reading
Using AWS ElasticMapReduce with the Command Line Interface
In this post I am going to use the AWS MapReduce service (called ElasticMapReduce) by making use of the CLI for EMR. The process of using EMR can be divided in three steps on a high level: set up and … Continue reading