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Description:

It has been said that, "Today's abundance of NoSQL databases gives companies choice with one hand but doles out management complexity with the other." Companies often use multiple data models - graph, in-memory, key-value, and object-store - for specific jobs plus add other technologies to meet their Big Data application requirements. This trend will continue for the next few years. But companies are already starting to suffer due to the overhead of managing so many technologies.

In this presentation, Tyler Hannan discuss how you can simplify the management of the technologies required to support your Big Data applications and give practical considerations to make when choosing the right tools for the job.

• Learn common architectural patterns employed in big data applications
• Find out how to approach and manage large-scale database growth
• Learn how to tackle the distributed data challenge created by components needing the same data
• Learn how to enhance not only the availability of your database but the other application components

About Tyler Hannan, Director

Tyler Hannan is an experienced technologist with a passion for human interaction. With a career that has spanned the private and public sector, large enterprises, consulting, and startups of varying success, he has maintained a focus on data persistence and analysis. He is a frequent speaker at industry conferences, called on to provide commentary about market trends impacting the design and deployment of database solutions and distributed systems.