Live Webinar June 14th, 2016 1:00 PM – 2:00 PM EDT
Duration: 1 Hour Credits: 1 PDU Category C Free
Presented by : O’Reilly

No one starts a data lake implementation
With the intention to fail …

One analyst firm estimates 90% of all data lake implementations will end up “useless.” While there are myriad reasons why data lake implementations fail, surprisingly few are a result of technology choices.

Instead, organizational constructs and accompanying data silos are to blame, alongside the common misperception that legacy system design patterns can be directly ported over to Hadoop.

This webcast shows lessons learned from over a dozen data lake implementation.

Lessons Learned Include:

• How data lakes enable new combinations of data and advanced data products but organizational silos squander the opportunity
• Why organizations encounter difficulty getting Hadoop systems to perform as well as their database systems and what you can do about it
• Why focusing on Hadoop for IT cost cutting will ultimately get in the way of building new and better capabilities. We’ll teach you how to change the conversation.

Hope Is Not A Strategy!

There’s a good chance that data lake pitfalls are in your immediate path.

Join Jeffrey Breen in this webinar to see how top companies have side-stepped these hidden and not-so hidden hazards. Armed with this knowledge, you can begin realizing value in every step of your big data journey.

Presenter: Jeffrey Breen (LinkedIn profile) VP Solutions Think Big Analytics (a Teradata company), has 20+ years leadership experience in IT, having served as the CTO of Yankee Group and  Navient Corporation. Jeffrey is well known in the R community for his presentations and tutorials. Jeffrey’s method for mining Twitter for consumer sentiment is featured in Practical Text Mining and his co author of Statistical Analysis for Non-structured Text Data Applications. He holds an M.A. in Astronomy from the University of Virginia and a B.A. in Physics and Astronomy & Astrophysics from the University of Pennsylvania.

PDU Category C (PMBOK 5) documentation details:
Process Groups: Executing
Knowledge Areas: 4 – Integration 5 – Scope 6 – Time

• 4.3 Direct and Manage Project Work
• 5.2 Collect Requirements
• 5.3 Define Scope
• 6.6 Develop Schedule

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:
Get Your Data Lake Right The First Time