Strategies for designing an integrated data architecture to enhance database, BI and analytics performance

Modern day levels of high-velocity data growth have put increased pressure on today's information management systems to support increasingly complex workloads to meet business demand.

Whether you're running a combination of Oracle databases and/or Oracle WebLogic on Sun or HP hardware, chances are you're struggling to deliver high-quality application performance amid a tidal wave of data.

Attend our upcoming seminar to learn how to improve application and service performance levels while lowering costs with a flexible, integrated data architecture designed to support today's increasingly complex workloads.

You'll learn how emerging trends in data warehousing, analytics, database performance and virtualization are enabling today's global IT leaders to cut costs, improve operational efficiency and stay one step ahead of the competition.

IMPORTANT REGISTRATION NOTICE:
Public sector employees, please click here.

To reserve your seat, call Jen Tobin at (617) 431-9722 or apply online:

WHY YOU SHOULD ATTEND:

Whether you’re seeking ways to improve application performance, enhance IT efficiency or meet next-generation database workloads, you'll learn cost-saving ideas for overcoming common challenges such as:

• Managing against extreme volumes of data growth
• Updating legacy data warehouses to deliver advanced analytical insight
• Paying for vastly under-utilized server capacity
• Inadequate SAP (and other mission-critical application) performance
• Spiraling software and licensing costs
• Delivering sub-par service levels and a lack of on-demand cloud provisioning.

Discover how to stop over-paying for under-utilized hardware and software and learn how to run your IT operations more efficiently in 2012 and beyond.

Find out how to break the cycle of spiraling hardware and software licensing costs while improving performance levels, reducing IT complexity and reducing energy consumption.

IMPORTANT REGISTRATION NOTICE:
Public sector employees, please click here.

Register today by calling Jen Tobin at (617) 431-9722 or completing our quick online registration form.

SESSION DESCRIPTIONS:

Beyond Traditional Information Systems: What Transformation in 2011-2016 Will Bring

Due to increasing data volume and data's high utility, there has been an explosion of capabilities in the possibilities in the past few years brought into the early mainstream.

Many are confused by the value of Hadoop, data warehouse appliances and stream processing. Their value propositions seemingly conflict with current information management infrastructure.

Costs for keeping "all data for all time" in an enterprise data warehouse (EDW) are still escalating, even though storage remains historically inexpensive. The key to making the correct data storage selection is an understanding of your workloads - current, projected and envisioned.

You will learn:

• The place for Relational Row-Oriented Data Warehouse and Data Marts
• Efficient operation of RDBMS with I/O Bottleneck alleviation
• How multidimensional databases fit into an organization
• When data streams make an information store
• Hadoop basics for Big Data, webscale and unstructured workloads
• Cloud considerations for information storage and interaction.

This practical session will organize and explore the major categories of information stores currently available and help you make the best choices to ensure your information management systems become an unparalleled corporate asset.

Leveraging Optimized Systems to Improve Database Performance, Enhance BI Capabilities and Reduce Data Management Costs

Skyrocketing operating costs and flat budgets are forcing IT leaders to seek new ways to drive increased IT efficiency while delivering innovative, high-quality IT services. Oracle database and middleware clients, including those using Sun or HP servers face many concerns:

• High software maintenance costs
• Expensive "one-size-fits-all" configurations
• High-maintenance analytics  
• Restrictive agreements that may require buying more than is needed
• Uncertainty surrounding SPARC and Itanium roadmaps.

Discover how IBM can help you lower your data management costs while improving database performance today. This session will highlight key topics such as:

• Best practices for leveraging optimized systems

• Strategies for delivering high-performance analytics

• Tips for achieving superior database performance at lower cost

• Data center consolidation and server virtualization trends.

Attendance is limited. Reserve your seat today by calling Jen Tobin at (617) 431-9722 or apply online:

IMPORTANT REGISTRATION NOTICE:
Public sector employees, please click here.

Speaker Biographies

William McKnight
President, McKnight Consulting

William McKnight is the president of McKnight Consulting Group, a firm focused on delivering business value and solving business challenges utilizing proven, streamlined approaches in data warehousing, master data management and business intelligence, all with a focus on data quality and scalable architectures. William is a Southwest Entrepreneur of the Year finalist, a frequent best-practices judge, a former IT Vice President of a Fortune company, holds an MBA and is author of the book 90 Days to Success in Consulting.

 

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Bernard Spang

Director, Data Server Marketing, IBM Information Management Software Group, Worldwide

Bernard Spang's team is responsible for product management and marketing of IBM's portfolio of data servers and data management tools. Bernard's career in IBM began in 1986 where he joined IBM's S/390 Division hardware development lab. In 1996, he joined the Internet Division of IBM Software Group. Following several relationship manager roles where he drove strategic technology partnerships with companies such as Sun Microsystems, Bernard became the initial Program Manager for executing IBM's Web Services strategy. In 2001, Bernard joined the WebSphere marketing team, where he developed and executed the launch of the open-source Eclipse project.