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Live Webinar June 4th, 2015 1:00 PM – 2:00 PM EDT
Duration: 1 Hour Credits: 1 PDU Category C Free
Presented by : O’Reilly

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

Presenter: Tyler Hannan (LinkedIn profile, O’Reilly bio) is an experienced technologist 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. Tyler 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.

PDU Category C (PMBOK 5) documentation details:
Process Groups: Executing
Knowledge Areas: 4- Integration 5 – Scope 9 – Human Resources

  • 4.3 Direct and Manage Project Work
  • 5.3 Define Scope
  • 9.3 Develop Project Team
  • 13.3 Manage Stakeholder Engagement

As a Category C ‘Self Directed Learning Activity’ remember to document your learning experience and its relationship to project management for your ‘PDU Audit Trail Folder’

Click to register for Simplify The Management Of Your Big Data Applications