Evolving Landscape of Analytics on AWS

Far too many to share in this post, but, there were a lot of analytics related announcements coming out of Amazon Web Services (AWS) re:Invent 2017. Some recurring themes in new services and improvements to existing services support advancements for analytics in both small businesses and enterprise corporations. Development environments have gotten a lot more consistent and integrated. Building on the platform is easier than ever, but there is still effort required to manage and support your applications and infrastructure.

Below are some notable service announcements and how they could add value to your platform:

Containers

Serverless

Graph db as a Managed Service!

Query Your Flat Files

Machine Learning as a Managed Service

Working with Text

Do It Yourself Machine Learning

Other Notables

Putting it all Together

The suite of tools AWS now offers makes implementing the right solution easier with many new specialized managed services. An evaluation of your current architecture to see where some of these new tools could be integrated can help propel your analytics platform forward. Regardless of your company’s analytics maturity level, there is a place for some of the services mentioned above to be incorporated into your platform. Making an investment to upgrade your analytics infrastructure will allow you to gain more insights, lead to better decisions, and derive more value.

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