AWS Big Data Blog

Month in Review: October 2016

Another month of big data solutions on the Big Data Blog. Take a look at our summaries below and learn, comment, and share. Thanks for reading! Building Event-Driven Batch Analytics on AWS Modern businesses typically collect data from internal and external sources at various frequencies throughout the day. In this post, you learn an elastic […]

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Fact or Fiction: Google BigQuery Outperforms Amazon Redshift as an Enterprise Data Warehouse?

Publishing misleading performance benchmarks is a classic old guard marketing tactic. It’s not surprising to see old guard companies (like Oracle) doing this, but we were kind of surprised to see Google take this approach, too. So, when Google presented their BigQuery vs. Amazon Redshift benchmark results at a private event in San Francisco on September 29, 2016, it piqued our interest and we decided to dig deeper.

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Optimize Amazon S3 for High Concurrency in Distributed Workloads

In today’s blog post, I will discuss how to optimize Amazon S3 for an architecture commonly used to enable genomic data analyses. This optimization is important to my work in genomics because, as genome sequencing continues to drop in price, the rate at which data becomes available is accelerating.

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Month in Review: September 2016

Another month of big data solutions on the Big Data Blog. Take a look at our summaries below and learn, comment, and share. Thanks for reading! Processing VPC Flow Logs with Amazon EMR In this post, learn how to gain valuable insight into your network by using Amazon EMR and Amazon VPC Flow Logs. The […]

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