Amazon Web Services provides a broad range of services to help you build and deploy Big Data analytics applications quickly and easily. AWS gives you fast access to flexible and low cost IT resources, so you can rapidly scale virtually any big data application including data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and internet-of-things processing. With AWS you don’t need to make large upfront investments in time and money to build and maintain infrastructure. Instead, you can provision exactly the right type and size of resources you need to power big data analytics applications. You can access as many resources as you need, almost instantly, and only pay for what you use.
With AWS you can build virtually any big data application. These are just a few examples of how organizations are driving value from big data with AWS.
With AWS you can build an entire analytics application to power your business. Scale a Hadoop cluster from zero to thousands of servers within just a few minutes, and then turn it off again when you’re done. This means you can process big data workloads in less time and at a lower cost.
Improve your customer's digital experience and get a better understanding of your website. Collect, process, analyze, and visualize clickstream insights in real-time with AWS.
Use AWS Lambda to perform data transformations - filter, sort, join, aggregate, and more - on new data, and load the transformed datasets into Amazon Redshift for interactive query and analysis.
Use Amazon Machine Learning to easily add predictive capabilities to your applications. Combine the power of Amazon Kinesis to ingest data from social media or other sources in real time and use Machine Learning to generate predictions on that data.
Optimize query performance and reduce costs by deploying your data warehousing architecture in the AWS cloud. Amazon EMR allows you to leverage the power of the Apache Hadoop framework to perform data transformations (ETL) and load the processed data into Amazon Redshift for analytic and business intelligence applications.