This whitepaper is for historical reference only. Some content might be outdated and some links might not be available.
Further reading
The following resources can help you get started in running big data analytics on AWS:
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Analytics on AWS
— View the comprehensive portfolio of big data services as well as links to other resources such AWS big data partners, tutorials, articles, and AWS Marketplace offerings on big data solutions. -
Read the AWS Big Data Blog
— The blog features real life examples and ideas updated regularly to help you collect, store, clean, process, and visualize big data. -
Try one of the Analytics Quick Starts
— Explore the rich environment of products designed to address big data challenges using AWS. Test Drives are developed by AWS Partner Network (APN) Consulting and Technology partners and are provided free of charge for education, demonstration, and evaluation purposes. -
Take an AWS training course on big data
— The Big Data on AWS course introduces cloud-based big data solutions and Amazon EMR. AWS shows how to use Amazon EMR to process data using the broad system of Hadoop tools such as Pig and Hive. AWS also teaches how to create big data environments, work with DynamoDB and Amazon Redshift, understand the benefits of Amazon Kinesis Streams, and leverage best practices to design big data environments for security and cost-effectiveness. -
View the Big Data Customer Case Studies
— Learn from the experience of other customers who have built powerful and successful big data platforms on the AWS Cloud.
