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Conclusion - Big Data Analytics Options on AWS

This whitepaper is for historical reference only. Some content might be outdated and some links might not be available.

This whitepaper is for historical reference only. Some content might be outdated and some links might not be available.

Conclusion

As more and more data is generated and collected, data analysis requires scalable, flexible, and high performing tools to provide insights in a timely fashion. However, organizations are facing a growing big data environment, where new tools emerge and become outdated very quickly. Therefore, it can be very difficult to keep pace and choose the right tools.

This whitepaper offers a first step to help you solve this challenge. With a broad set of managed services to collect, process, and analyze big data, AWS makes it easier to build, deploy, and scale big data applications. This enables you to focus on business problems instead of updating and managing these tools.

AWS provides many solutions to address your big data analytic requirements. Most big data architecture solutions use multiple AWS tools to build a complete solution. This approach helps meet stringent business requirements in the most cost-optimized, performant, and resilient way possible. The result is a flexible big data architecture that is able to scale along with your business.

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