Application Software Blade™ for Oracle® E-Business Suite 12.1

August 13, 2011

The Automated Approach to Data Integration

See The Video – Integrate Oracle E-Business Suite With Anything

Queplix® has created a highly automated, fast and easy approach for integrating Oracle® E-Business Suite with other on-premise and cloud based applications.  Queplix Application Software Blades leverage the power of advanced data virtualization to lower your total cost of ownership, speed implementation and lower risk.  The system is designed for a business user – you don’t need to be an SQL programmer.  Absolutely no SQL is required. Once data is integrated it remains easily accessible, providing you have requisite security, to any number of additional applications. Our Application Software Blades provide complete connectivity, data flow, security, and automation for the integration process – check boxes, configure and go.

Supported Capability for Oracle® E-Business Suite 12.1

There are eleven Oracle® Applications that can be integrated using our Application Software Blades.  These include:

  • Oracle® Marketing and Sales Application
  • Oracle® Channel Revenue Management Application
  • Oracle® Order Management Application
  • Oracle® Logistics Application
  • Oracle® Procurement Application
  • Oracle® Manufacturing Application
  • Oracle® Service Application
  • Oracle® Projects Application
  • Oracle® Financials Application
  • Oracle® Human Resources Application
  • Oracle® Agile® Application – see our separate webpage on our Application Software Blade for Agile®

Data and Application Migration

Queplix Virtual Data Manager or QueCloud can use these Application Software Blades to enable data migration in any direction.  Our Virtual Migration Manager is part of every one of on-premise systems and standard in our QueCloud.  Virtual Migration Manager is highly automated, fast and easy to deploy.  Find out why consultants and software professionals worldwide use Virtual Migration Manager to move data out of legacy systems and into new applications.

Build Your Data Warehouse

Queplix Virtual Data Manager or QueCloud can use these Application Software Blades to help you build out your Data Warehouse much faster than using legacy toolsets like ETL or EII.  Your return on investment for using the power of advanced data virtualization will save 75% or more of your time and efforts to merge various data sets into your Data Warehouse.

Download the Application Software Blade for Oracle® datasheet and learn more.

Learn more about Oracle® E-Business Suite.

Our professional services team can help you with any implementation – reduce your expense by 75% or more.

LUG 2010 This Week in Stunning Monterey!

April 12, 2010


Lustre Advanced User Seminar 2010 Agenda

Wednesday, April 14 – Seascape Grand Ballroom, 2nd Floor, Seascape Conference Center

8:00 – 9:00 Breakfast – Riviera Room, 3rd Floor, Seascape Conference Center
9:00 – 10:30 Lustre Tips and Tricks

Andreas Dilger, Oracle
10:30 – 11:00 Coffee Break – Foyer, 2nd Floor, Seascape Conference Center
11:00 – 12:00 Administering Lustre at Scale, Lessons Learned at ORNL

Jason Hill, ORNL
12:00 – 1:00 Lunch – Riviera Room, 3rd Floor, Seascape Conference Center
1:00 – 2:30 A Look Inside HSM

Aurelien Degremont and Thomas Leibovici, CEA
2:30 – 3:00 Coffee Break – Foyer, 2nd Floor, Seascape Conference Center
3:00 – 5:00 A Deep Dive into Lustre Recovery Mechanisms:

Johann Lombardi, Oracle

LUG 2010 Agenda

LUG 2010, a two-day event, will feature a workshop and numerous presentations on select Lustre features, upcoming enhancements, site-specific experiences using Lustre, and much more.
Thursday, April 15 – LUG Day 1 – Seascape Grand Ballroom, 2nd Floor, Seascape Conference Center

8:00 – 9:00 Breakfast – Riviera/Bayview Rooms, 3rd Floor, Seascape Conference Center
9:00 – 9:30 LUG Kickoff

Peter Bojanic, Oracle
9:30 – 10:00 Lustre Development

Eric Barton, Oracle
10:00 – 10:30 Coffee Break – Foyer, 2nd Floor, Seascape Conference Center
10:30 – 11:30 Lustre 1.8 Update

Peter Jones, Oracle
11:30 – 12:00 Lustre 2.0

Robert Read, Oracle
12:00 – 1:00 Lunch – Riviera/Bayview Rooms, 3rd Floor, Seascape Conference Center
1:00 – 1:30 Getting the Best from Lustre in a NUMIOA and Multi-rail IB Environment

Sebastien Buisson, Bull
1:30 – 2:15 What RedSky and Lustre Have Accomplished

Steve Monk, Sandia
Joe Mervini, Sandia
2:15 – 3:00 Lustre at the OLCF: Experiences and Path Forward

Galen Shipman, ORNL
3:00 – 3:30 Coffee Break – Foyer, 2nd Floor, Seascape Conference Center
3:30 – 4:00 Comprehensive Lustre I/O Tracking with Vampir:

Michael Kluge, ZIH
4:00 – 4:30 Lustre Deployment and Early Experiences

Florent Parent, Clumeq
4:30 – 5:00 Indiana University’s Lustre WAN – Empowering Production Workflows on the TeraGrid

Stephen Simms, Indiana University
5:00 – 5:30 LCE: Lustre at CEA

Stephane Thiell, CEA
5:30 – 6:30 Break
6:30 Dinner Reception – Seascape Resort: To be announced at Thursday’s event

Friday, April 16 – LUG Day 2 – Seascape Grand Ballroom, 2nd Floor, Seascape Conference Center

8:00 – 9:00 Breakfast – Riviera/Bayview Rooms, 3rd Floor, Seascape Conference Center
9:00 – 9:30 Lustre SMP Scaling Improvements

Liang Zhen, Oracle
9:30 – 10:00 Lustre/HSM Binding

Aurelien Degremont, CEA
Hua Huang, Oracle
10:00 – 10:30 Lustre Enabled WAN in Government, NRL

Jeremy Filizetti, NRL/SMSi
10:30 – 11:00 Coffee Break – Foyer, 2nd Floor, Seascape Conference Center
11:00 – 11:30 Hedging Our Filesystem Bet

Kent Blancett, BP
11:30 – 12:00 Analysis and Recovery from Lustre Faults/Failures on Ranger

John Hammond, TACC
12:00 – 1:00 Lunch – Riviera/Bayview Rooms, 3rd Floor, Seascape Conference Center
1:00 – 1:45 Kerberized Lustre 2.0 over the WAN

Josephine Palencia, PSC
1:45 – 2:15 Reaping the Benefits of MetaData

Nic Cardo, NERSC
2:15 – 2:45 Coffee Break – Foyer, 2nd Floor, Seascape Conference Center
2:45 – 3:15 Porting Lustre to Operating Systems Other than Linux:

Ken Hornstein, NRL
3:15 – 3:45 Lustre and Community Development

Daniel Ferber, Oracle
3:45 LUG 2010 Concludes

MySQL Conference Santa Clara This Week

April 12, 2010


I’ll be there Tuesday…ping me it you’re going.

Consider Element-based Storage to Support Application-centric Strategies

March 29, 2010

What is Element-based storage?

Element-based storage is a new concept in data storage that packages caching controllers, self-healing packs of disk drives, intelligent power/cooling, and non-volatile protection into a single unit to create a building-block foundation for scaling storage capacity and performance. By encapsulating key technology elements into a functional ‘storage blade’, storage capability – both performance and capacity – can scale linearly with application needs. This building-block approach removes the complexity of frame-based SAN management and works in concert with application-specific function that resides in host servers (OSes, hypervisors and applications themselves).

How are Storage Elements Managed?

Storage elements are managed by interfacing with applications running on host servers (on top of either OSes or hypervisors) and working in conjunction with application function, via either direct application control or Web Services/REST communication. For example, running a virtual desktop environment with VMware or Citrix, or a highly-available database environment with Oracle’s ASM or performing database-level replication and recovery with Microsoft SQL Server 2008 – the hosts OSes, hypervisors, and applications control their own storage through embedded volume management and data movement. The application can directly communicate with the storage element via REST, which is the open standard technique called out in the SNIA Cloud Data Management Interface (CDMI) specification. CDMI forms the basis for cloud storage provisioning and cloud data movement/access going forward.

The main benefits of the element-based approach are:

  • Significantly better performance – more transactions per unit time, faster database updates, more simultaneous virtual servers or desktops per physical server.
  • Significantly improved reliability – self-healing, intelligent elements.
  • Simplified infrastructure – use storage blades like DAS.
  • Lower costs – significantly reduced opex, especially maintenance and service.
  • Reduced business risk – avoiding storage vendor lock-in by using heterogeneous application/hypervisor/OS functions instead of array-specific functions.

Action Item: Organizations are looking to simplify infrastructure, and an application-centric strategy is one approach that has merit. Practitioners should consider introducing storage elements as a means to support application-oriented storage strategies and re-architecting infrastructure for the next decade.

Rob Peglar is VP of Technology at Xiotech and a Xiotech Senior Fellow.  A 32-year industry veteran and published author, he leads the shaping of strategic vision, emerging technologies, defining future offering portfolios including business and technology requirements, product planning and industry/customer liaison. He is the Treasurer of the SNIA, serves as Chair of the SNIA Tutorials, as a Board member of the Green Storage Initiative and the Solid State Storage Initiative, and as Secretary/Treasurer of the Blade Systems Alliance.  He has extensive experience in storage virtualization, the architecture of large heterogeneous SANs, replication and archiving strategy, disaster avoidance and compliance, information risk management, distributed cluster storage architectures and is a sought-after speaker and panelist at leading storage and networking-related seminars and conferences worldwide.  He was one of 30 senior executives worldwide selected for the Network Products 2008 MVP Award.    Prior to joining Xiotech in August 2000, Mr. Peglar held key technology specialist and engineering management positions over a ten-year period at StorageTek and at their networking subsidiary, Network Systems Corporation. Prior to StorageTek, he held engineering development and product management positions at Control Data Corporation and its supercomputer division, ETA Systems.     Mr. Peglar holds the B.S. degree in Computer Science from Washington University, St. Louis Missouri, and performed graduate work at Washington University’s Sever Institute of Engineering.  His research background includes I/O performance analysis, queuing theory, parallel systems architecture and OS design, storage networking protocols, clustering algorithms and virtual systems optimization.

repost from WIKIBON: