Live Webinar January 26th, 2016 1:00 PM – 2:00 PM EST
Duration: 1 Hour Credits: 1 PDU Category C Free
Presented by : O’Reilly

Big data adoption has moved from experimental projects to mission-critical, enterprise-wide deployments that deliver new customer insights, competitive advantage, and business innovation.

According to IDC, the big data market is growing six times faster than the overall IT market.

However, the complexity of technologies like Hadoop and Spark is holding back big data deployments in the enterprise.

Many companies consider it too time-consuming, expensive, and resource-intensive to initiate and scale these implementations.

Enterprises need an “easy button” to accelerate the on-premises deployment of big data analytics using Hadoop, Spark, and related tools.

In this webcast, Kumar Sreekanti will show you how your organization can:

• Quickly set up a dev/test lab environment to get started with big data analytics.
• Reduce costs and deliver self-service agility, with a Big-Data-as-a-Service experience on-premises.
• Eliminate data duplication and decouple compute from storage for big data infrastructure.
• Leverage new infrastructure innovations — including container technology — to simplify and scale your big data analytics deployment.

Register today and learn about the pitfalls and challenges of traditional big data implementations, and the opportunity for a fundamentally new approach.

Presenters:

Kumar Sreekanti  (LinkedIn profile) is the co-founder / CEO of BlueData, a software platform that leverages virtualization and container technology to enable Big-Data-as-a-Service in an on-premises deployment model making it easier, faster, and more cost-effective to deploy big data on-premises. Kumar was vice president of R&D at VMware and  vice president of Engineering and Operations for Akamai Technologies. Earlier in his career, Kumar held senior technical and engineering management positions with Adaptec, Mylex, and Seagate.

Michael A. Greene, (LinkedIn profile) a graduate of MIT is Intel Vice President and General Manager of the System Technologies & Optimization of Intel’s Software and Services Group. Michael leads is responsible for a broad range of development, enabling, architecture analysis and optimization efforts including system firmware, virtual platforms, modeling and simulation solutions, power analysis, client/server and big data software stack optimizations and is on the National GEM Consortium’s (GEM) Executive Committee as the Marketing Vice President. GEM is a national non-profit providing programming and full fellowships to support  individuals who pursue a master’s or doctorate degree in science or engineering.

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:
Big Data in the Enterprise: We Need an “Easy Button” for Hadoop