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    <title>Amazon Bedrock or Amazon SageMaker AI? - Amazon Bedrock or Amazon SageMaker AI?</title>
    <dc:date>2025-10-25T14:41:38+00:00</dc:date>
    <link>https://docs.aws.amazon.com/decision-guides/latest/bedrock-or-sagemaker/bedrock-or-sagemaker.html</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning aws</dc:subject>
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    <title>What is ABAC for AWS? - AWS Identity and Access Management</title>
    <dc:date>2023-01-28T00:29:08+00:00</dc:date>
    <link>https://docs.aws.amazon.com/IAM/latest/UserGuide/introduction_attribute-based-access-control.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Attribute-based access control (ABAC) is an authorization strategy that defines permissions based on attributes. In AWS, these attributes are called tags. You can attach tags to IAM resources, including IAM entities (users or roles) and to AWS resources. You can create a single ABAC policy or small set of policies for your IAM principals. These ABAC policies can be designed to allow operations when the principal's tag matches the resource tag. ABAC is helpful in environments that are growing rapidly and helps with situations where policy management becomes cumbersome.]]></description>
<dc:subject>aws</dc:subject>
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    <dc:creator>amy</dc:creator><dc:subject>machine_learning aws diffusion</dc:subject>
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    <title>The Distributed Computing Manifesto | All Things Distributed</title>
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    <link>https://www.allthingsdistributed.com/2022/11/amazon-1998-distributed-computing-manifesto.html?es_id=64e2f377ee</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Today, I am publishing the Distributed Computing Manifesto, a canonical document from the early days of Amazon that transformed the architecture of Amazon’s ecommerce platform. It highlights the challenges we were facing at the end of the 20th century, and hints at where we were headed.]]></description>
<dc:subject>distributed aws</dc:subject>
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    <title>The Cloud Genie</title>
    <dc:date>2021-06-24T03:02:47+00:00</dc:date>
    <link>https://www.lastweekinaws.com/blog/the-cloud-genie/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[In which I demonstrate how to spend hundreds of millions of dollars a month in an @awscloud “free tier” account without speaking to a human, and very likely without tripping fraud alarms. 

https://www.lastweekinaws.com/blog/the-cloud-genie/ 

There's a joke that I've always been partial to: a software engineering type rubs a lamp and a genie appears.]]></description>
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    <dc:creator>amy</dc:creator><description><![CDATA[Corey Quinn ]]></description>
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    <title>LAMBDA - A Serverless Musical (Hamilton &quot;My Shot&quot; Parody) - YouTube</title>
    <dc:date>2020-09-18T18:48:50+00:00</dc:date>
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    <title>BigQuery Omni for multi-cloud data analytics | Google Cloud Blog</title>
    <dc:date>2020-07-14T18:55:59+00:00</dc:date>
    <link>https://cloud.google.com/blog/products/data-analytics/introducing-bigquery-omni</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Today, we are introducing BigQuery Omni, a flexible, multi-cloud analytics solution that lets you cost-effectively access and securely analyze data across Google Cloud, Amazon Web Services (AWS), and Azure (coming soon), without leaving the familiar BigQuery user interface (UI). Using standard SQL and the same BigQuery APIs our customers love, you will be able to break down data silos and gain critical business insights from a single pane of glass. And because BigQuery Omni is powered by Anthos, you will be able to query data without having to manage the underlying infrastructure.]]></description>
<dc:subject>gcp bigquery anthos big_data kubernetes k8s aws azure BigQueryOmni</dc:subject>
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<item rdf:about="https://aws.amazon.com/blogs/opensource/kube-aws/">
    <title>kube-aws: Highly Available, Scalable, and Secure Kubernetes on AWS | AWS Open Source Blog</title>
    <dc:date>2019-08-29T01:49:03+00:00</dc:date>
    <link>https://aws.amazon.com/blogs/opensource/kube-aws/</link>
    <dc:creator>amy</dc:creator><dc:subject>aws kubernetes</dc:subject>
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<item rdf:about="https://www.cnbc.com/2017/11/13/amazon-aws-ironman-service-to-work-with-tensorflow.html">
    <title>Amazon AWS to work better with Google Tensorflow</title>
    <dc:date>2017-11-13T23:30:44+00:00</dc:date>
    <link>https://www.cnbc.com/2017/11/13/amazon-aws-ironman-service-to-work-with-tensorflow.html</link>
    <dc:creator>amy</dc:creator><dc:subject>TensorFlow aws</dc:subject>
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<item rdf:about="https://www.forbes.com/sites/moorinsights/2017/10/27/amazon-and-nvidia-simplify-machine-learning/">
    <title>Amazon And NVIDIA Simplify Machine Learning</title>
    <dc:date>2017-10-28T14:30:03+00:00</dc:date>
    <link>https://www.forbes.com/sites/moorinsights/2017/10/27/amazon-and-nvidia-simplify-machine-learning/</link>
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<item rdf:about="https://aws.amazon.com/blogs/aws/new-amazon-ec2-instances-with-up-to-8-nvidia-tesla-v100-gpus-p3/">
    <title>New – Amazon EC2 Instances with Up to 8 NVIDIA Tesla V100 GPUs (P3) | AWS Blog</title>
    <dc:date>2017-10-27T21:19:59+00:00</dc:date>
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    <title>Announcing New AWS Deep Learning AMI for Amazon EC2 P3 Instances | AWS AI Blog</title>
    <dc:date>2017-10-27T01:02:55+00:00</dc:date>
    <link>https://aws.amazon.com/blogs/ai/announcing-new-aws-deep-learning-ami-for-amazon-ec2-p3-instances/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[We’re pleased to announce a new set of AWS Deep Learning AMIs, which come pre-installed with deep learning frameworks optimized for the NVIDIA Volta V100 GPUs in the new Amazon EC2 P3 instance family.

The new P3 instances are perfect for deep learning, with eight NVIDIA Volta GPUs available in a single p3.16xlarge instance, which is capable of 125 trillion single-precision floating-point operations per second. This dramatically reduces the training time for sophisticated deep learning models, from days to just hours.]]></description>
<dc:subject>aws machine_learning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:1f564f87616d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
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</item>
<item rdf:about="https://metamarkets.com/2017/big-cloud-data-aws-and-gcp/">
    <title>Going Multi-Cloud with AWS and GCP: Lessons Learned at Scale | Metamarkets</title>
    <dc:date>2017-08-23T01:24:01+00:00</dc:date>
    <link>https://metamarkets.com/2017/big-cloud-data-aws-and-gcp/</link>
    <dc:creator>amy</dc:creator><dc:subject>aws gcp cloud</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:54055a7f8405/</dc:identifier>
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</item>
<item rdf:about="https://cloudacademy.com/blog/aws-vs-microsoft-azure-google-cloud/">
    <title>AWS vs Microsoft Azure and Google Cloud, a user perspective</title>
    <dc:date>2017-07-26T16:00:20+00:00</dc:date>
    <link>https://cloudacademy.com/blog/aws-vs-microsoft-azure-google-cloud/</link>
    <dc:creator>amy</dc:creator><dc:subject>aws google</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:b37f6e9873da/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
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</item>
<item rdf:about="https://www.theinformation.com/amazon-considering-new-cloud-service-to-combat-google">
    <title>Amazon Considering New Cloud Service to Combat Google — The Information</title>
    <dc:date>2017-07-21T00:49:57+00:00</dc:date>
    <link>https://www.theinformation.com/amazon-considering-new-cloud-service-to-combat-google</link>
    <dc:creator>amy</dc:creator><dc:subject>aws google kubernetes k8s</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:8d8cefc002a1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:kubernetes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:k8s"/>
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</item>
<item rdf:about="http://www.latimes.com/business/technology/la-fi-tn-graphiq-amazon-20170719-story,amp.html">
    <title>Amazon acquires Santa Barbara start-up Graphiq to try to bolster Alexa - LA Times</title>
    <dc:date>2017-07-20T20:58:03+00:00</dc:date>
    <link>http://www.latimes.com/business/technology/la-fi-tn-graphiq-amazon-20170719-story,amp.html</link>
    <dc:creator>amy</dc:creator><dc:subject>aws machine_learning data_science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:7e12c3235b4b/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:data_science"/>
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</item>
<item rdf:about="https://in.3wks.com.au/google-not-amazon-make-fantastic-savings-in-a-serverless-world-b6d37710839c">
    <title>Google not Amazon — Make fantastic savings in a serverless world</title>
    <dc:date>2017-07-20T18:08:24+00:00</dc:date>
    <link>https://in.3wks.com.au/google-not-amazon-make-fantastic-savings-in-a-serverless-world-b6d37710839c</link>
    <dc:creator>amy</dc:creator><dc:subject>google cloud aws</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:763cf9de2e7c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:cloud"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
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</item>
<item rdf:about="https://zeit.co/blog/universal-now">
    <title>ZEIT – Universal Now: Now, on Every Cloud</title>
    <dc:date>2017-07-14T19:54:06+00:00</dc:date>
    <link>https://zeit.co/blog/universal-now</link>
    <dc:creator>amy</dc:creator><description><![CDATA[deploy cross-cloud with one command]]></description>
<dc:subject>aws cloud gcp nodejs</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:67dd20b603bf/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:cloud"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:nodejs"/>
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</item>
<item rdf:about="https://aws.amazon.com/blogs/ai/using-amazon-rekognition-to-identify-persons-of-interest-for-law-enforcement/">
    <title>Using Amazon Rekognition to Identify Persons of Interest for Law Enforcement | AWS AI Blog</title>
    <dc:date>2017-06-18T03:06:32+00:00</dc:date>
    <link>https://aws.amazon.com/blogs/ai/using-amazon-rekognition-to-identify-persons-of-interest-for-law-enforcement/</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning aws</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:1073d93ff2c4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.wired.com/2013/02/james-hamilton-amazon/">
    <title>Why Amazon Hired a Car Mechanic to Run Its Cloud Empire | WIRED</title>
    <dc:date>2017-04-25T03:01:26+00:00</dc:date>
    <link>https://www.wired.com/2013/02/james-hamilton-amazon/</link>
    <dc:creator>amy</dc:creator><dc:subject>aws</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:b0544f1970a3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://aws.amazon.com/blogs/aws/amazon-redshift-spectrum-exabyte-scale-in-place-queries-of-s3-data/">
    <title>Amazon Redshift Spectrum – Exabyte-Scale In-Place Queries of S3 Data | AWS Blog</title>
    <dc:date>2017-04-19T18:45:23+00:00</dc:date>
    <link>https://aws.amazon.com/blogs/aws/amazon-redshift-spectrum-exabyte-scale-in-place-queries-of-s3-data/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Now that we can launch cloud-based compute and storage resources with a couple of clicks, the challenge is to use these resources to go from raw data to actionable results as quickly and efficiently as possible.

Amazon Redshift allows AWS customers to build petabyte-scale data warehouses that unify data from a variety of internal and external sources. Because Redshift is optimized for complex queries (often involving multiple joins) across large tables, it can handle large volumes of retail, inventory, and financial data without breaking a sweat. Once the data is loaded, our customers can make use of a plethora of enterprise reporting and business intelligence tools provided by the Redshift Partners.

...You can use Spectrum to run complex queries on data stored in Amazon Simple Storage Service (S3), with no need for loading or other data prep.]]></description>
<dc:subject>aws</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:d5d87f750fac/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://stratechery.com/2016/how-google-cloud-platform-is-challenging-aws/">
    <title>How Google Is Challenging AWS – Stratechery by Ben Thompson</title>
    <dc:date>2016-12-01T17:23:50+00:00</dc:date>
    <link>https://stratechery.com/2016/how-google-cloud-platform-is-challenging-aws/</link>
    <dc:creator>amy</dc:creator><dc:subject>aws gcp</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:02070484e420/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:gcp"/>
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</item>
<item rdf:about="https://aws.amazon.com/greengrass/">
    <title>AWS Greengrass – Embeded Lambda Compute in Connected Devices - Amazon Web Services</title>
    <dc:date>2016-11-30T20:09:40+00:00</dc:date>
    <link>https://aws.amazon.com/greengrass/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[AWS Greengrass is software that lets you run local compute, messaging & data caching for connected devices in a secure way. With AWS Greengrass, connected devices can run AWS Lambda functions, keep device data in sync, and communicate with other devices securely – even when not connected to the Internet. Using AWS Lambda, Greengrass ensures your IoT devices can respond quickly to local events, operate with intermittent connections, and minimize the cost of transmitting IoT data to the cloud.

AWS Greengrass seamlessly extends AWS to devices so they can act locally on the data they generate, while still using the cloud for management, analytics, and durable storage. With Greengrass, you can use familiar languages and programming models to create and test your device software in the cloud, and then deploy it to your devices. AWS Greengrass can be programmed to filter device data and only transmit necessary information back to the cloud. AWS Greengrass authenticates and encrypts device data at all points of connection using AWS IoT’s security and access management capabilities. This way data is never exchanged between devices when they communicate with each other and the cloud without proven identity.]]></description>
<dc:subject>aws iot</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:2e6360611c39/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:iot"/>
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</item>
<item rdf:about="https://cloud.google.com/free-trial/docs/map-aws-google-cloud-platform">
    <title>Map AWS services to Google Cloud Platform products  |  Free Trial  |  Google Cloud Platform</title>
    <dc:date>2016-09-14T16:26:31+00:00</dc:date>
    <link>https://cloud.google.com/free-trial/docs/map-aws-google-cloud-platform</link>
    <dc:creator>amy</dc:creator><dc:subject>aws gcp</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:ed1167f7be4a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:gcp"/>
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</item>
<item rdf:about="https://cloud.google.com/docs/compare/aws/">
    <title>Google Cloud Platform for AWS Professionals  |  Google Cloud Platform for AWS Professionals  |  Google Cloud Platform</title>
    <dc:date>2016-08-16T03:10:01+00:00</dc:date>
    <link>https://cloud.google.com/docs/compare/aws/</link>
    <dc:creator>amy</dc:creator><dc:subject>amazon aws google gcp</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:896e259a6e53/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:amazon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:gcp"/>
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</item>
<item rdf:about="https://www.datawire.io/3-reasons-aws-lambda-not-ready-prime-time/">
    <title>3 Reasons AWS Lambda Is Not Ready for Prime Time | @datawireio</title>
    <dc:date>2016-05-23T13:42:10+00:00</dc:date>
    <link>https://www.datawire.io/3-reasons-aws-lambda-not-ready-prime-time/</link>
    <dc:creator>amy</dc:creator><dc:subject>amazon aws</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:26c5bda6c805/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:amazon"/>
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</item>
<item rdf:about="http://tech.marksblogg.com/50-node-presto-cluster-dataproc.html">
    <title>50-node Presto Cluster on Google Cloud's Dataproc</title>
    <dc:date>2016-05-05T14:39:11+00:00</dc:date>
    <link>http://tech.marksblogg.com/50-node-presto-cluster-dataproc.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA[RT @felipehoffa: 10 times faster! Querying Presto+#AWS+50nodes: 44secs. Presto+@googlecloud+50nodes: 4secs. 

How? @marklit82 does it ]]></description>
<dc:subject>gcp AWS</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:3bb6bf0d85fe/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:gcp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:AWS"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://d0.awsstatic.com/whitepapers/core-tenets-of-iot.pdf">
    <title>core-tenets-of-iot.pdf aws</title>
    <dc:date>2016-04-27T02:56:03+00:00</dc:date>
    <link>http://d0.awsstatic.com/whitepapers/core-tenets-of-iot.pdf</link>
    <dc:creator>amy</dc:creator><description><![CDATA[core tenets of iot -- AWS]]></description>
<dc:subject>aws iot</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:eb76212cf2e9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:iot"/>
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</item>
<item rdf:about="https://coreos.com/kubernetes/docs/latest/kubernetes-on-aws.html">
    <title>Kubernetes on AWS</title>
    <dc:date>2016-04-19T01:54:19+00:00</dc:date>
    <link>https://coreos.com/kubernetes/docs/latest/kubernetes-on-aws.html</link>
    <dc:creator>amy</dc:creator><dc:subject>kubernetes aws coreos</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:a0cae0e1705e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:kubernetes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
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</item>
<item rdf:about="http://blog.kubernetes.io/2016/04/kubernetes-on-aws_15.html?m=1">
    <title>Kubernetes: How to deploy secure, auditable, and reproducible Kubernetes clusters on AWS</title>
    <dc:date>2016-04-19T01:48:09+00:00</dc:date>
    <link>http://blog.kubernetes.io/2016/04/kubernetes-on-aws_15.html?m=1</link>
    <dc:creator>amy</dc:creator><dc:subject>kubernetes aws</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:488167f2f051/</dc:identifier>
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</item>
<item rdf:about="http://blog.zachbjornson.com/2015/12/29/cloud-storage-performance.html">
    <title>AWS S3 vs Google Cloud vs Azure:&lt;br&gt;Cloud Storage Performance</title>
    <dc:date>2016-01-08T23:34:37+00:00</dc:date>
    <link>http://blog.zachbjornson.com/2015/12/29/cloud-storage-performance.html</link>
    <dc:creator>amy</dc:creator><dc:subject>aws gcp performance</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:6f47d736dabd/</dc:identifier>
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<item rdf:about="https://aws.amazon.com/blogs/compute/microservices-without-the-servers/">
    <title>Microservices without the Servers | AWS Compute Blog</title>
    <dc:date>2015-09-10T14:44:49+00:00</dc:date>
    <link>https://aws.amazon.com/blogs/compute/microservices-without-the-servers/</link>
    <dc:creator>amy</dc:creator><dc:subject>aws</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:d2141ab449bd/</dc:identifier>
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</item>
<item rdf:about="https://gregsramblings.com/2015/05/07/aws-to-gcp-mapping/">
    <title>Amazon Web Services to Google Cloud Platform Service Mapping : Gregs Ramblings</title>
    <dc:date>2015-05-08T23:12:42+00:00</dc:date>
    <link>https://gregsramblings.com/2015/05/07/aws-to-gcp-mapping/</link>
    <dc:creator>amy</dc:creator><dc:subject>aws gcp google</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:4c079dde10b1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:google"/>
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</item>
<item rdf:about="http://blogs.wsj.com/cio/2013/02/26/public-cloud-vendors-side-by-side-by-side/">
    <title>Public Cloud Survey: Amazon Web Services, Microsoft Azure and Google - The CIO Report - WSJ</title>
    <dc:date>2013-03-02T01:28:18+00:00</dc:date>
    <link>http://blogs.wsj.com/cio/2013/02/26/public-cloud-vendors-side-by-side-by-side/</link>
    <dc:creator>amy</dc:creator><dc:subject>gae aws</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:c2acb844551b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:gae"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
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</item>
<item rdf:about="http://www.allthingsdistributed.com/2013/02/aws-opsworks.html">
    <title>Expanding the Cloud - Introducing AWS OpsWorks, a Powerful Application Management Solution - All Things Distributed</title>
    <dc:date>2013-02-19T15:45:53+00:00</dc:date>
    <link>http://www.allthingsdistributed.com/2013/02/aws-opsworks.html</link>
    <dc:creator>amy</dc:creator><dc:subject>aws</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:34a26c2d75ba/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
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</item>
<item rdf:about="http://utkarshsengar.com/2011/01/manage-multiple-accounts-on-1-amazon-ec2-instance/">
    <title>Manage multiple Linux Users on 1 Amazon EC2 Instance | the lost logbook</title>
    <dc:date>2012-02-04T05:27:54+00:00</dc:date>
    <link>http://utkarshsengar.com/2011/01/manage-multiple-accounts-on-1-amazon-ec2-instance/</link>
    <dc:creator>amy</dc:creator><dc:subject>aws ec2 linux security</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:a3a1d03f96e0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:security"/>
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</item>
<item rdf:about="https://help.ubuntu.com/community/EC2StartersGuide">
    <title>EC2StartersGuide - Community Ubuntu Documentation</title>
    <dc:date>2012-02-02T09:01:58+00:00</dc:date>
    <link>https://help.ubuntu.com/community/EC2StartersGuide</link>
    <dc:creator>amy</dc:creator><dc:subject>aws ec2 linux amazon</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:906cfba53aef/</dc:identifier>
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<item rdf:about="http://www.allthingsdistributed.com/2012/01/amazon-dynamodb.html">
    <title>Amazon DynamoDB – a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications - All Things Distributed</title>
    <dc:date>2012-01-19T05:40:59+00:00</dc:date>
    <link>http://www.allthingsdistributed.com/2012/01/amazon-dynamodb.html</link>
    <dc:creator>amy</dc:creator><dc:subject>aws amazon nosql</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:6956ef0fe158/</dc:identifier>
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</item>
<item rdf:about="http://gigaom.com/cloud/developers-will-flock-to-public-cloud-in-2012/">
    <title>Developers will flock to public cloud in 2012 — Cloud Computing News</title>
    <dc:date>2012-01-15T22:53:35+00:00</dc:date>
    <link>http://gigaom.com/cloud/developers-will-flock-to-public-cloud-in-2012/</link>
    <dc:creator>amy</dc:creator><dc:subject>cloud_computing aws</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:bb9d4a8f850e/</dc:identifier>
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</item>
<item rdf:about="http://aws.amazon.com/articles/5050">
    <title>Amazon S3 Bucket Public Access Considerations : Articles &amp; Tutorials : Amazon Web Services</title>
    <dc:date>2011-08-28T00:42:20+00:00</dc:date>
    <link>http://aws.amazon.com/articles/5050</link>
    <dc:creator>amy</dc:creator><description><![CDATA[New (and important): Amazon #S3 Bucket Public Access Considerations -   #aws #tellyourfriends]]></description>
<dc:subject>tellyourfriends aws S3</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:9d97fd0c671b/</dc:identifier>
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<item rdf:about="https://plus.google.com/u/1/115054901319079500672/posts/QFK3FfaWTcE">
    <title>Dan Benjamin - Google+ - Today is Reevaluate Your Cloud Backup Strategy Day™ here at…</title>
    <dc:date>2011-08-24T16:29:23+00:00</dc:date>
    <link>https://plus.google.com/u/1/115054901319079500672/posts/QFK3FfaWTcE</link>
    <dc:creator>amy</dc:creator><description><![CDATA[discussion of online backup alternatives]]></description>
<dc:subject>aws backup storage osx software</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:e5027c5097ec/</dc:identifier>
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</item>
<item rdf:about="http://www.kdnuggets.com/2011/08/analytics-as-a-service-how-amazon-changing-rules.html?">
    <title>Analytics-as-a-Service: Understanding how Amazon.com is changing the rules</title>
    <dc:date>2011-08-23T16:10:17+00:00</dc:date>
    <link>http://www.kdnuggets.com/2011/08/analytics-as-a-service-how-amazon-changing-rules.html?</link>
    <dc:creator>amy</dc:creator><dc:subject>aws cloud_computing</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:223c49135118/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:cloud_computing"/>
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</item>
<item rdf:about="http://aws.typepad.com/aws/2011/08/amazon-elasticache-distributed-in-memory-caching.html">
    <title>Amazon Web Services Blog: Amazon ElastiCache - Distributed In-Memory Caching</title>
    <dc:date>2011-08-23T04:56:35+00:00</dc:date>
    <link>http://aws.typepad.com/aws/2011/08/amazon-elasticache-distributed-in-memory-caching.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Amazon ElastiCache - Distributed In-Memory Caching -   #aws #memcached]]></description>
<dc:subject>aws memcached</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:3c884a06abbb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:memcached"/>
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</item>
<item rdf:about="http://aws.amazon.com/datasets/6468931156960467">
    <title>Million Song Dataset : Public Data Sets : Amazon Web Services</title>
    <dc:date>2011-08-15T17:32:01+00:00</dc:date>
    <link>http://aws.amazon.com/datasets/6468931156960467</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Million song public dataset:  #aws #computabledata]]></description>
<dc:subject>aws computabledata</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:dd7b4c099fe9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:computabledata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://cameronstokes.com/2011/07/20/compressed-content-amazon-s3-and-cloudfront/">
    <title>Cameron Stokes's Blog » Compressed Content, Amazon S3, and CloudFront</title>
    <dc:date>2011-07-25T18:07:01+00:00</dc:date>
    <link>http://cameronstokes.com/2011/07/20/compressed-content-amazon-s3-and-cloudfront/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Using S3 websites, gzip and #aws CloudFormation for lightening fast static websites:  (via @clstokes)]]></description>
<dc:subject>aws</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:e86b4bb0c372/</dc:identifier>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://aws.typepad.com/aws/2011/07/introducing-the-aws-sdk-for-ruby.html">
    <title>Amazon Web Services Blog: Introducing the AWS SDK for Ruby</title>
    <dc:date>2011-07-15T00:11:58+00:00</dc:date>
    <link>http://aws.typepad.com/aws/2011/07/introducing-the-aws-sdk-for-ruby.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Introducing the #aws SDK for Ruby: ]]></description>
<dc:subject>aws</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:f0903628e9d2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://aws.amazon.com/articles/1434?_encoding=UTF8&amp;jiveRedirect=1">
    <title>Browser Uploads to S3 using HTML POST Forms : Articles &amp; Tutorials : Amazon Web Services</title>
    <dc:date>2011-06-27T21:51:13+00:00</dc:date>
    <link>http://aws.amazon.com/articles/1434?_encoding=UTF8&amp;jiveRedirect=1</link>
    <dc:creator>amy</dc:creator><dc:subject>aws s3</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:82657aa03993/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.slideshare.net/faberNovel/amazoncom-the-hidden-empire">
    <title>Untitled (http://www.slideshare.net/faberNovel/amazoncom-the-hidden-empire)</title>
    <dc:date>2011-05-13T18:35:43+00:00</dc:date>
    <link>http://www.slideshare.net/faberNovel/amazoncom-the-hidden-empire</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Fascinating slideshare presentation: Amazon.com, The Hidden Empire ]]></description>
<dc:subject>amazon presentation aws</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:8ad104fbfe20/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:amazon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:presentation"/>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.slideshare.net/AmazonWebServices/introduction-to-elastic-mapreduce">
    <title>Untitled (http://www.slideshare.net/AmazonWebServices/introduction-to-elastic-mapreduce)</title>
    <dc:date>2011-05-13T11:25:05+00:00</dc:date>
    <link>http://www.slideshare.net/AmazonWebServices/introduction-to-elastic-mapreduce</link>
    <dc:creator>amy</dc:creator><description><![CDATA[An introduction to #aws Elastic MapReduce - slides from the recent #Hadoop User Group meeting: ]]></description>
<dc:subject>Hadoop aws</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:e8fc4880e408/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:Hadoop"/>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.nowjs.com/get-started-with-nodejs-for-002-and-two-minut">
    <title>No more excuses: Try Node.js for $0.02 or less in just a few minutes - NowJS Blog</title>
    <dc:date>2011-04-01T20:24:04+00:00</dc:date>
    <link>http://blog.nowjs.com/get-started-with-nodejs-for-002-and-two-minut</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Try node.js for 2¢ or less in ~2 minutes...  /by @nowjsteam #nodejs #aws]]></description>
<dc:subject>aws nodejs</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:30b17d280b46/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:nodejs"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://aws.typepad.com/aws/2011/03/new-approach-amazon-ec2-networking.html">
    <title>Amazon Web Services Blog: A New Approach to Amazon EC2 Networking</title>
    <dc:date>2011-03-15T06:48:36+00:00</dc:date>
    <link>http://aws.typepad.com/aws/2011/03/new-approach-amazon-ec2-networking.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA[A New Approach to Amazon #EC2 Networking:  - New VPC wizard, subnets, access control, routing tables  #aws /by @jeffbarr]]></description>
<dc:subject>aws EC2</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:019475c9884f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:EC2"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://engineering.foursquare.com/2011/02/28/how-we-found-the-rudest-cities-in-the-world-analytics-foursquare/">
    <title>How we found the rudest cities in the world – Analytics @ foursquare | Foursquare Engineering Blog</title>
    <dc:date>2011-03-02T03:17:48+00:00</dc:date>
    <link>http://engineering.foursquare.com/2011/02/28/how-we-found-the-rudest-cities-in-the-world-analytics-foursquare/</link>
    <dc:creator>amy</dc:creator><dc:subject>analysis hadoop aws mapreduce hive datamining</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:83de1ac5c905/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:analysis"/>
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</item>
<item rdf:about="http://www.webmonkey.com/2011/03/who-swears-the-most-how-foursquare-used-hadoop-to-find-out/">
    <title>Who Swears the Most? How Foursquare Used Hadoop to Find Out | Webmonkey | Wired.com</title>
    <dc:date>2011-03-02T03:16:38+00:00</dc:date>
    <link>http://www.webmonkey.com/2011/03/who-swears-the-most-how-foursquare-used-hadoop-to-find-out/</link>
    <dc:creator>amy</dc:creator><dc:subject>hadoop mapreduce aws</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:999bf7f1bc09/</dc:identifier>
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</item>
<item rdf:about="http://aws.amazon.com/articles/2294?_encoding=UTF8&amp;jiveRedirect=1">
    <title>Finding Similar Items with Amazon Elastic MapReduce, Python, and Hadoop Streaming : Articles &amp; Tutorials : Amazon Web Services</title>
    <dc:date>2011-02-11T22:30:02+00:00</dc:date>
    <link>http://aws.amazon.com/articles/2294?_encoding=UTF8&amp;jiveRedirect=1</link>
    <dc:creator>amy</dc:creator><dc:subject>hadoop mapreduce amazon aws python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:2189563571d9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:hadoop"/>
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</item>
<item rdf:about="http://www.umiacs.umd.edu/~jimmylin/Cloud9/docs/content/start-EC2.html">
    <title>Cloud9: A MapReduce Library for Hadoop » Getting started with EC2</title>
    <dc:date>2011-02-07T18:43:32+00:00</dc:date>
    <link>http://www.umiacs.umd.edu/~jimmylin/Cloud9/docs/content/start-EC2.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA["This tutorial will get you started with Cloud9 on Amazon's EC2 (running the simple word count demo). For a gentler introduction to Hadoop, or if you don't feel like experimenting with EC2, try my tutorial on getting started in standalone mode. This tutorial assumes you've already downloaded the libraries and gotten it set up."]]></description>
<dc:subject>hadoop ec2 mapreduce s3 aws tutorials</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:3d3b6702cd5a/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
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</item>
<item rdf:about="http://www.umiacs.umd.edu/~jimmylin/Cloud9/docs/index.html">
    <title>Cloud9: A MapReduce Library for Hadoop</title>
    <dc:date>2011-02-07T18:41:27+00:00</dc:date>
    <link>http://www.umiacs.umd.edu/~jimmylin/Cloud9/docs/index.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA["Cloud9 is a MapReduce library for Hadoop designed to serve as both a teaching tool and to support research in data-intensive text processing. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. Hadoop provides an open-source implementation of the programming model. The library itself is available on github and distributed under the Apache License.

For additional details on MapReduce algorithm design, Data-Intensive Text Processing with MapReduce by Lin and Dyer is a good resource. This library also serves as a repository of many examples discussed in the book."]]></description>
<dc:subject>mapreduce hadoop aws s3 ec2 pig tutorials</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:554248f84134/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:hadoop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ec2"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:pig"/>
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</item>
<item rdf:about="http://s3tools.org/s3cmd">
    <title>Amazon S3 tools: s3cmd : command line S3 client</title>
    <dc:date>2011-02-01T14:18:00+00:00</dc:date>
    <link>http://s3tools.org/s3cmd</link>
    <dc:creator>amy</dc:creator><dc:subject>amazon aws s3</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:3ee00cf7bf20/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:amazon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.starstryder.com/2011/01/23/set-up-an-aws-lamp-server-connected-to-a-rds-database/">
    <title>Set up an AWS LAMP server connected to a RDS database | Star Stryder</title>
    <dc:date>2011-02-01T13:44:18+00:00</dc:date>
    <link>http://www.starstryder.com/2011/01/23/set-up-an-aws-lamp-server-connected-to-a-rds-database/</link>
    <dc:creator>amy</dc:creator><dc:subject>mysql aws rds amazon thinkup ec2 reference</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:e7a4ede4281f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:mysql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:aws"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:rds"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:amazon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:thinkup"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:ec2"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:reference"/>
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</item>
<item rdf:about="http://serverfault.com/questions/143114/whats-the-best-practice-for-taking-mysql-dump-encrypting-it-and-then-pushing-to">
    <title>amazon ec2 - What's the best practice for taking MySQL dump, encrypting it and then pushing to s3? - Server Fault</title>
    <dc:date>2011-02-01T00:05:54+00:00</dc:date>
    <link>http://serverfault.com/questions/143114/whats-the-best-practice-for-taking-mysql-dump-encrypting-it-and-then-pushing-to</link>
    <dc:creator>amy</dc:creator><dc:subject>aws ec2 s3 mysql reference</dc:subject>
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