Big Data Developer Day w/ Anjul Bhambhri: Making Hadoop Ready for Enterprise

From: Nicolás M.
Sent on: Monday, June 3, 2013 10:08 AM

Join us on June 28, 2013 to participate in an exclusive Big Data Developer Day hosted by Anjul Bhambhri, IBM Vice President, Big Data, along with the IBM Big Data Development team. Open source Apache Hadoop is a great framework for distributed processing of large data sets. But there’s a difference between "playing" with big data versus solving real problems. The reality is that Hadoop alone is not enough. Experience IBM’s enterprise-class Hadoop product, InfoSphere BigInsights, which enhances open source Hadoop with required enterprise capabilities including: analytics, visualization, security, enterprise integration, developer/admin tools, and more. The morning session will include interactive discussions and live demonstrations of IBM's latest big data innovations; and, in the afternoon, get hands-on with InfoSphere BigInsights Quick Start with guidance from development experts. This is a unique opportunity to develop skills and learn about exciting technologies and techniques that you can immediately take back to your organization.

This event is FREE.  Breakfast, Lunch and snacks will be provided.

Agenda (subject to change)

9:00 AM - 9:30 AM - Breakfast & Registration

9:30 AM - 10:30 AM - Welcome & Keynote 
“IBM’s Big Data Platform: Enterprise Hadoop and More”  
Anjul Bhambhri, IBM Vice President, Big Data

10:30 AM - 11:15 AM - Making Hadoop Ready for the Enterprise

  • Advanced Analytics
  • Adaptive MapReduce
  • High Availability
  • Security
  • Visualization

11:15 AM - 11:30 AM - Break

11:30 AM - 12:15 PM - SQL for Hadoop

  • Innovations to access unstructured data
  • Augmenting data warehousing with big data technologies

12:15 PM - 12:30 PM- Closing Keynote Remarks 
Anjul Bhambhri, IBM Vice President, Big Data

12:30 PM - 1:00 PM - Lunch

1:00 PM - 5:30 PM- Hands-On Labs (please bring your laptop if you plan to participate)

* Tentative Labs:

  1. Getting started with Hive
  2. Leveraging the full power of SQL with Hadoop
  3. Simplifying HBase queries with IBM Big SQL

5:30 PM Close - Thank You for Attending

Seating is limited, please adjust your RSVP accordingly.

To guarantee your seat, you must register here:


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