AWS News Blog

Tag: Amazon Elastic MapReduce

Elastic MapReduce Updates – Hadoop 2.0 and More

The Amazon Elastic MapReduce (EMR) team has been hard at work on a series of updates and new features. You now have access to Hadoop 2.2 and new versions of Hive,Pig, HBase, and Mahout.  Cluster startup time has been reduced, S3DistCp (for data movement), has been augmented, and MapR M7 is now supported. If you […]

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AWS Elastic MapReduce Adds MapR M7 for 24×7 HBase Applications

I’m happy to announce that Elastic MapReduce now includes the option to choose MapR M7, an enterprise-grade, high performance platform for HBase and Hadoop applications. We joined forces with MapR Technologies last June to deliver enterprise-grade Hadoop on EMR with their M5 and M3 Editions. Today we’re making MapR’s M7 Edition available on EMR, enabling […]

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New Asia Pacific (Sydney) Region in Australia – EC2, DynamoDB, S3, and Much More

It is time to expand the AWS footprint once again, with a new Region in Sydney, Australia. AWS customers in Australia can now enjoy fast, low-latency access to the suite of AWS infrastructure services. New RegionThe new Sydney Region supports the following AWS services: A Tranquil Beach – Shoal Bay, Australia Amazon Elastic Compute Cloud […]

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AWS HowTo: Using Amazon Elastic MapReduce with DynamoDB (Guest Post)

Today’s guest blogger is Adam Gray. Adam is a Product Manager on the Elastic MapReduce Team. — Jeff; Apache Hadoop and NoSQL databases are complementary technologies that together provide a powerful toolbox for managing, analyzing, and monetizing Big Data. Thats why we were so excited to provide out-of-the-box Amazon Elastic MapReduce (Amazon EMR) integration with […]

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AWS Summer Startups: Mendeley

Although Summer is starting to ebb into Autumn in the northern hemisphere, it’s just getting going south of the equator, so there is still time to profile another start-up in our on-going series of profiles!   Introducing Mendeley Today I’m very happy to introduce you to Mendeley, a London based startup that harnesses cloud computing […]

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