Fusion-io Demo Runs the Equivalent of All Global Credit Card Transactions from a Single Server

Microsoft(R) SQL Server(R) Database Technology Enables High Scale Demonstration of 1.1 Million Transactions Per Second

SALT LAKE CITY, Nov. 30, 2011 /PRNewswire/ – Fusion-io (NYSE: FIO) today announced that its VSL software subsystem and four 1.2 TB Fusion ioDrive2s integrated into a single 64-core AMD Server were able to achieve 1.11 million transactions per second in a Microsoft SQL Server database. The demonstration delivered the data throughput projected to be required to run all credit card transactions on the planet, underlining new solutions for powering efficiency in retail data processing as the 2011 holiday shopping season kicks off with record sales.

“Today’s modern CPUs cannot be fed data fast enough with old approaches to application architecture,” said Thomas Kejser,SQL Server Customer Advisory Team enterprise database specialist. “To fully leverage the possibilities of the NAND flash revolution in a way that utilizes the hardware, IT professionals need to understand the properties of what we use to build our systems. For example, low latency architecture that uses NAND flash as part of the memory hierarchy helps avoid bottlenecks by integrating close to the CPU for low latency application performance, which is why Fusion-io was selected for this high scale demonstration.”

In the demonstration, inserts were done on 150 billion wide rows, into a single database table in Microsoft® SQL Server®, ultimately resulting in 1.1 million singleton inserts per second figure. The same test was run with update statements, achieving 2.5 million updates per second. Translating this throughput number to simplified credit card transactions, using the system in the testing, one transaction is one debit, one credit, and one update of account balance. When applied to daily transaction requirements, this amounts to approximately 25 billion simplified transactions per day. To put the transaction number into perspective, this is equivalent to all the credit card transactions projected to be made daily by every individual on the planet from now until 2050, when it is expected that the world will be inhabited by nine billion people.

“Given how consumers are embracing online shopping, especially on Cyber Monday and even Black Friday, we believe this achievement showcases how Fusion-io can help meet demand for servicing more digital transactions with an efficient, rapid and reliable solution,” said Neil Carson, Fusion-io Chief Technology Officer. “The transaction rates achieved in these tests demonstrate the high scalability and efficiency of today’s Microsoft SQL Server databases when powered by Fusion-io.”

To learn more about Fusion-io, go to 
http://www.fusionio.com
. Follow Fusion-io on Twitter at 
http://www.twitter.com/fusionio
and on Facebook at 
http://www.facebook.com/fusionio
.

Get to know Pinaki Mukerji: Queplix EVP & Chief Product Officer

Pinaki Mukerji
Queplix EVP & Chief Product Officer

Pinaki Mukerji has more than 20 years experience in the software industry and delivered many market leading products. He joined Informatica in 1995, at a very early stage of the company. Over the past 15 years, Pinaki played a pivotal role in growing Informatica from $0 MM in revenue in 1995 to $650MM revenue at the end of 2010. Over the years, Pinaki built a highly talented engineering team spanning multiple geography and grew the product portfolio. Pinaki is responsible for the Informatica Platform Technology and the Data integration product.

As Chief Product Officer at Queplix, he is responsible for managing our engineering team and guiding the company’s technology development. Mukerji joins Queplix from his most recent position as Senior Vice President, Platform Technology R&D at Informatica®, Inc. (INFA). While at Informatica® Mukerji was one of the key driving forces behind many of their key product initiatives.

“Pinaki did a brilliant job at Informatica® and I expect he will do even more at Queplix,” said Mark Cashman, chief executive officer for Queplix. “There is no executive with more relevant experience than Pinaki. Our platform delivers an open, business user ready, enterprise platform for data integration and data management. Pinaki pioneered many early data integration successes with Informatica® and he is supremely qualified to lead our product vision forward.”

“The Queplix platform for cloud and on-premise is an industry first.  Business users are now empowered to bring projects from concept to deliverable without IT programmers,” said Mukerji.  “Advanced data virtualization is the future.  It is a game changing technology for the data integration world.  It reduces cost and risk and enables performance more than any other technology or architecture.  I am extremely pleased and excited to join the company at such a critical time in the company’s evolution.”

DATA INTEGRATION: Top 5 Best Practices

The explosion in information technology tools and capability has accelerated. Our information technology environment is moving at absolute light-speed. Yet the back of data integration is broken. 90% of the customers are using 20 year old ETL technology designed to move batch files into the data warehouse at 1 am. It is a manual process. Worst of all, is that some vendors have even put this 20 year old technology in their newly minted 1 year old cloud. Who wants 20 year old technology in a 1 year old cloud?

To add insult to injury, data quality is … “another product.” I humbly submit that without resolving data quality issues and providing for their ongoing maintenance you cannot integrate even two applications, load your data warehouse, consider a future Virtual MDM deployment.

The cause of this is simple. Look at the revenue mix for the two major vendors that control the market for large enterprise. Their business is about professional services – not software tools. They are in business to sell you, their customer, as much professional services at the highest rates you can imagine. Legacy ETL technology is a bonanza to a company that sells your company services by the hour.

Even worse, they don’t offer you the right mix of services and technology. The integration was done to specification but it doesn’t seem to work. I guess we’ll just have to sell you additional consulting to do the data quality clean-up.

The five best practices in data integration break this model. We turn the model upside down. By using advanced data virtualization, and pushing back at the legacy monopoly attached to your wallet, you can reduce your costs and speed your time to implementation.

BEST PRACTICE #1: Use an Automated Metadata Discovery Tool and Data Dictionary. IEEE did a seminal study recently in the area of data integration to understand how the time was allocated. Over 40%+ of the time in any data integration project is spent on discovery. What is the structure of the data? Which field corresponds to others so that we can identify the source record of truth and harmonize it over to the target? Advanced data virtualization can completely automate the discovery of data structures, provides insight into how things relate (semantics) and then automates the integration between the systems. All of this is automated and easy to deploy. You will be able to reduce your time, in this project phase alone, by 75% or more because you use a metadata discovery tool.

BEST PRACTICE #2: Data Quality Must Be Integrated At Every Step in Your Project. Data quality is an essential project component for a small, medium or large company. Not a separate project. Advanced data virtualization technology provides full data quality tool sets, fully automated, with the product. It is the starting point to any data integration, the core to best practices implementation and the ongoing steady hand that keep your data harmonization working into the future. Without good data quality, each data harmonization will reject hundreds to thousands of records that “don’t synchronize.” And this creates tons of additional work.

BEST PRACTICE #3: Understand Your Needs Versus Vendor Architecture. “Tomorrow never comes” is not the right way to deploy critical applications that serve your business. Advanced data virtualization brings a hub and spoke architecture that easily extends and adds the next application to your integration architecture. This is in sharp contrast to the pipe (or pipe and hub for mdm) architectures you must assemble with ETL.

BEST PRACTICE #4: Bring in Tools Suitable For Business Users – No Programming Required. Advanced data virtualization enables your business user to point, click and select to build out integrations. Data transformations between systems come together using a formula builder very similar to Microsoft® Excel® – highly intuitive and obvious. This works the same with relational data, objects, complex API’s with products like SAP®, XML and even NoSQL data sources. One simple object framework designed to work with everything – fast, easy and automated.

BEST PRACTICE #5: Data Enrichment is Easy – Automate It For Business Benefit. Today products like D&B360® and others offer clean data sources for many elements of your important customer data. Yet most of our customers are still manually correcting data at the time of data entry in the ERP system, and then hoping that the support and SFA systems catch up. There is a better way – you can harmonize data directly with a source of data enrichment using business rules. This improves business process and provides strong ROI.

Contact sales@queplix.com

QUEPLIX Events – Webinar Update: Q3 2011

 

 

 

Data Integration – State of The Market – WEEK OF AUGUST 1
Registration Will Open Shortly
Market Size
Technologies
Architectures
ETL verses Advanced Data Virtualization
Differentiation & Trade-Off
Trends

Automating Data Quality – WEEK OF AUGUST 8
Registration Will Open Shortly
Market Size and Overview
Integrated With Data Integration Architecture
Advanced Data Virtualization
Automated, Fast & Easy
No SQL
One Continuum
Core Functionality and Essential Capability
Standalone Products – Moving Towards Obsolescence
Automate or Die

Virtual Data Manager – WEEK OF AUGUST 15
Registration Will Open Shortly
On-Premise
Hub & Spoke Data Integration Environment
Advanced Data Virtualization
Automated, Fast & Easy
No SQL
One Continuum
Fifty (50+) Application Software Blades
How it Works – Why it is Better

Automating Data Governance – WEEK OF AUGUST 22
Registration Will Open Shortly
Overview
Key Issues & Opportunities
Core Functionality and Essential Capability
Automate or Die

VirtualETL & CloudETL – WEEK OF AUGUST 29
Registration Will Open Shortly
On-Premise
Start With Any Two Sources
Automated, Fast & Easy
Advanced Data Virtualization
Automated, Fast & Easy
No SQL
One Continuum

Integrating Netsuite & SalesForce – CORAID Case Study – WEEK OF SEPT 5
Registration Will Open Shortly
Overview
Competitive Displacement
Situation Analysis
Return on Investment
Business Rules and Data Quality
Data Enrichment – Future Goals

Data Integration in the Cloud – WEEK OF SEPT 12
Registration Will Open Shortly
QueCloud – 1st Data Integration and Data Management Cloud
One to Many
Advanced Data Virtualization
Automated, Fast & Easy
No SQL
One Continuum
Pricing & Configuration
Data Quality is Critical
Automated, Fast & Easy

Virtual Migration Manager – WEEK OF SEPT 19
Registration Will Open Shortly
One Time Migration
Automated Discovery
Unlock  Black Box Data Structures
Color Automap Makes it Easy
Legacy On-Premise, NoSQL and Cloud – In Any Mix

ETL Verses Advanced Data Virtualization – WEEK OF SEPT 26
Registration Will Open Shortly
13 Key Advantages of Advanced Data Virtualization
Automated, Fast & Easy
No SQL
One Continuum
Why ETL Teams Love Advanced Data Virtualization
Forrester Comments re ETL
IdealNet Comments re ETL

MDM – Don’t Do It – WEEK OF OCTOBER 3
Registration Will Open Shortly
State of the Market
Top 10 Challenges With Legacy MDM Projects
Why Projects Fail
Solutions

Virtual MDM – WEEK OF OCTOBER 10
Registration Will Open Shortly
New Architecture for MDM
Advantages and Opportunities
Advanced Data Virtualization
Automated, Fast & Easy
No SQL
One Continuum
Reduces Professional Services By 50% to 75% or More

Agile BI – WEEK OF OCTOBER 17
Registration Will Open Shortly
Deploy BI Faster
Advanced Data Virtualization is Changing BI Implementation Forever
Best Practices
Return on Investment

Vision For The Data Integration Market – WEEK OF OCTOBER 24
Registration Will Open Shortly
Market Size
1st Generation Technology – ETL
2nd Generation Technology – ETL with GUI Front End
3rd Generation Technology – Advanced Data Virtualization & Persistent Metadata Server
4th Generation Technology – Vision for the Future – “NGEN”
Architectures
Differentiation & Trade-Off
Data Quality and Data Governance Converge With Data Integration

NOSQL Data Structures – - WEEK OF OCTOBER 31
Registration Will Open Shortly
What is NOSQL – Why is it Important
Overview of the Market

Integration Strategies Integrating Netsuite & SalesForce – Best Practices – WEEK OF NOVEMBER 7
Registration Will Open Shortly
Issues and Opportunities
Advanced Data Virtualization
Automated, Fast & Easy
No SQL
One Continuum
Engagement Process

Analysis of Data Integration Technologies — A New Whitepaper

Introduction
Rapid technology change and innovation is an expected component of modern life. This is self-evident today with the feverish pace of development within such sub markets as
smart phones and tablets. It is interesting to note, however, that some technology areas experience a perception within the public mind (and within target business customers
specifically) of having achieved a “plateau of maturity”which neither requires nor offers opportunity for continued innovation.

Perhaps surprisingly, one such area is within data integration
technologies. The reasons why this is surprising include
the fact that the necessity for data integration continually
presents itself for customers and enterprises of all types and
sizes as well as the fact that due to a plethora of platforms
and systems which are in use today (both old and new), this
area’s complexity increases constantly.

As Gartner stated in their 2010 “Magic Quadrant for Data
Integration Tools” report: “Market conditions favor offerings
with low costs and rapid time to value, but buyers that see
data integration as strategic also seek rich capabilities to fuel
their information infrastructure.

Complete Whitepaper Here:  
http://www.idealnetinc.com/IdealNet_Analysis_of_Data_Integration_Technologies.pdf

Twleve Reasons

Attend This Week’s Event: Data Integration Technologies, Architectures and Differentiation

PRE-REGISTRATION: Friday Feb 4, 2011 – 10 am PST / 1 pm EST.  Data Integration Technologies, Architectures and Differentiation.

INSTANT DOOR REGISTRATION: not available at this time – please pre-register

EVENT NUMBER: not available at this time

PASSWORD: not available at this time

* A great primer for IT and Business Executives on the melee of integration technologies.  Make sense of it all. Learn about data integration technologies a business user can use immediately WITHOUT SQL.
* Learn about Extract, Transform and Load (ETL), Enterprise Information Integration (EII) often referred to as Cloud Integration and Basic Data Virtualization.
* Learn about Advanced Data Virtualization and how it can Power Data Integration, Master Data Alignment and more.  Understand Transactional verses Non-Transactional environments.
* Understand how these architectures fit product, customer, vendor, securities, life sciences and other application driven considerations.