Upcoming IOUG Webinars Planned for January and February 2013

IOUG's continuing education provides quality information and data to help you excel in your career and professional development. To continue your year-round education with IOUG, check out training opportunities, both in present and virtual at COLLABORATE 13 - IOUG Forum this April.

Big Data, Integration, and Governance: Ask-the-Experts
Tuesday, January 29, 2013
12:00 PM - 1:00 PM CST

The explosion in volume, variety and velocity of information is creating new opportunities in the era of big data. With better information integration and governance for big data technologies, you can turn your data into trusted information that can be leveraged to find new insight and to answer questions that in the past were beyond reach. Join us as our panel of experts share case studies and their expertise to help you understand which best practices to prioritize and focus on, including data integration, data quality, data lifecycle, data security, MDM and more.

On the Panel:
Jeff T. Pollock, Program Director, Product Management, Information Integration
Aarti Borkar, Program Director, Product Management, Lifecycle Management
Brian Vile, Program Director, Product Marketing, Security and Governance

Register here for Big Data, Integration, and Governance: Ask-the-Experts.

Accelerate Database Read Performance and Get More from Enterprise SAN with STEC SSDs and Oracle ASM
Wednesday, February 6, 2013
 12:00 PM - 1:00 PM CST

**Accelerate Database Read Performance and Get More from Enterprise SAN with STEC SSDs and Oracle ASM**

DBA's rely on enterprise storage for availability and SLAs. Once the storage servers begin reaching the IO limit, implementing the next SAN can be very costly. In this webinar STEC Director of Systems Architecture Gurinder Brar and Chief Solutions Architect Bruce Moxon will present how DBA's can utilize server side SSDs and Oracle ASM for significant cost savings, easily migrate read workloads to servers, provide faster reads, and extend the life of SAN.

Key benefits of the solution to be presented include:

  • Significantly faster DSS query processing time
  • Deploys in minutes with no changes to the application
  • Maintains all existing backup, data protection, and high availability policies
  • Offloads extensive read workloads from storage arrays for better utilization
  • Extends the life of existing storage infrastructure

Featured speakers: Gurinder Brar, Director Systems Architecture & Bruce Moxon, Chief Solutions Architect

Register here for Accelerate Database Read Performance and Get More from Enterprise SAN with STEC SSDs and Oracle ASM.

The Second Annual Exadata Virtual Symposium! Schedule now live!
Wednesday, February 6 and Thursday, February 7, 2013
9:00 AM - 1:00 PM CST

Take advantage of two days of free, online sessions filled with insights and information from real Exadata users and experts. Go beyond the basics of Exadata with information on what's new for Exadata in X-3, what it takes to manage Exadata on a daily basis, and how to optimize your systems to get the most out of your investment.

Register for Day 1 (2/6/13)
Register for Day 2 (2/7/13)

Cloudera Impala: Real-Time Queries in Apache Hadoop
Wednesday, February 20, 2013
12:00 PM - 1:00 PM CST

The Cloudera Impala project is for the first time making scalable parallel database technology, which is the underpinning of Google's Dremel as well as that of commercial analytic DBMSs, available to the Hadoop community. With Impala, the Hadoop community now has an open-sourced codebase that allows users to issue low-latency queries to data stored in HDFS and Apache HBase using familiar SQL operators.

This talk will start out with an overview of Impala from the user's perspective, followed by a presentation of Impala's architecture and implementation, and will conclude with a comparison of Impala with Apache Hive, commercial MapReduce alternatives, and traditional data warehouse infrastructure.

Featured Speaker: Justin Erickson, Product Manager, Cloudera

Register here for Cloudera Impala: Real-Time Queries in Apache Hadoop.