Live Webinar May 24th, 2016 1:00 PM – 2:00 PM EDT
Duration: 1 Hour Credits: 1 PDU Category C Free
Presented by : O’Reilly

As organizations strive to identify and realize the value in Big Data, many now seek more agile and capable analytic systems.

Apache Hadoop is a software framework that provides measurable savings and value for storage and data processing at tremendous scale.

While many have piloted Hadoop as a data repository for simple workloads, there is much more value that can be created from Hadoop by leveraging the data in the platform more, to interact with the data and uncover new business insights.

But challenges exist, limiting this value and leaving opportunity on the table.

• 57% of businesses surveyed said “obtaining the necessary skills and capabilities needed” is a top 3 challenge for Hadoop*
• 49% of businesses surveyed said “determining how to get value from Hadoop” is a top 3 challenge for Hadoop*

Hewlett Packard Enterprise has developed a solution that solves these challenges through a robust, yet flexible, offering to deliver a future-proof data-centric foundation that scales with your evolving business needs.

• HPE Big Data Reference Architecture can deliver 60% better HDFS performance in 50% of the footprint
• HPE Vertica for SQL on Hadoop lets you add analytics directly on your Hadoop infrastructure
• HPE SecureData provides end to end data centric security, whilst preserving the data format

HPE’s hundreds of data scientists, and 3000+ dedicated global analytics & data management professionals are ready to help you unlock the value hidden in your data.

Presenter: David Wang (LinkedIn profile, O’Reilly bio) Senior Solutions Marketing Manager, Big Data – HPE is an expert in helping enterprises become data-driven organizations. David has extensive experience  across multiple industries in applying big data and analytics solutions. In the past, David was responsible for business strategy at GE Digital.  David graduated from the Georgia Institute of Technology with a bachelor’s of science in electrical engineering and earned an M.B.A. from the Marshall School of Business at the University of Southern California.

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:
Enterprise-Grade Hadoop: Unlock The Value Of The Data Lake & Scale Without Compromise