• Learn Everything You Need to Know about the Most Widely Used and Deployed Technology
  for Big Data Applications; Online Access Now Available
• Author Paco Nathan to Speak at OSCON 2013

SAN FRANCISCO – July 10, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today announced the book release of “Enterprise Data Workflowswith Cascading” by Paco Nathan, director of data science at Concurrent. Published by O’Reilly Media, the hands-on book introduces readers to Cascading™, the most widely used and deployed technology for Big Data applications with more than 75,000+ user downloads a month. The Cascading framework enables users to quickly and easily build powerful data processing applications on Apache Hadoop that span ETL, data preparation and analytics with one unified development framework. The book offers developers, data scientists and system/IT administrators a quick overview on Cascading’s streamlined approach to data processing, data filtering and workflow optimization using sample applications based on Java, ANSI SQL, PMML, Scala and Clojure. Thousands of companies such as Etsy, Razorfish, TeleNav and Twitter already use Cascading for business-critical applications.

With “Enterprise Data Workflows with Cascading,” readers will learn how to:

• Examine best practices for using data science in enterprise-scale applications
• Use workflows beyond MapReduce to integrate to other frameworks and existing IT systems/tools
• Quickly build and test applications, and instantly deploy them onto Apache Hadoop
• Easily discover, model and analyze both unstructured and semi-structured data
• Seamlessly move and scale application deployments from development to production, regardless of cluster location or data size

To purchase a copy of “Enterprise Data Workflows with Cascading” now, visit: http://oreil.ly/19Gc9y6

About the Author

Paco Nathan is director of data science at Concurrent, Inc., where he leads the company’s developer outreach program. He has a dual background from Stanford in mathematics and statistics, and distributed computing. With more than 25 years experience in the technology industry, Nathan is an expert in Hadoop, R, predictive analytics, machine learning and natural language processing. This book release comes on the heels of Concurrent’s recent announcement of Pattern, a free, open source, standard-based scoring engine, built on Cascading, that enables analysts and data scientists to quickly deploy machine-learning applications on Apache Hadoop. Cascading provides the most comprehensive application framework for Hadoop. With the addition of Lingual (ANSI SQL) and Pattern (PMML), Cascading bridges the gap and allows enterprises to use existing skills and systems to easily develop and deploy robust applications on Hadoop. The combination of the three (Java, SQL, PMML) completes the application ensemble.

Learn More About Cascading at OSCON

Nathan will speak on Cascading at O’Reilly OSCON in Portland on July 25, 2013. For more information on his session, “Using Cascalog to Build an App with City of Palo Alto Open Data,” and to register, please visit:http://bit.ly/1azv6oS.

Supporting Resources

● Enterprise Data Workflows with Cascading:http://oreil.ly/19Gc9y6
● Cascading website: http://www.cascading.org
● Company: http://www.concurrentinc.com
● Contact Us: http://www.concurrentinc.com/contact
● Follow us on Twitter: http://www.twitter.com/concurrent

About Concurrent, Inc.

Concurrent, Inc.’s vision is to become the #1 software platform choice for Big Data applications. Concurrent builds application infrastructure products that are designed to help enterprises create, deploy, run and manage data processing applications at scale on Apache Hadoop. Concurrent is the mind behind Cascading™, the most widely used and deployed technology for Big Data applications with more than 75,000+ user downloads a month. Used by thousands of data driven businesses including Twitter, eBay, The Climate Corp, and Etsy, Cascading is the de-facto standard in open source application infrastructure technology. Concurrent is headquartered in San Francisco. Visit Concurrent online at http://www.concurrentinc.com.

Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 340 1982
concurrent@kulesafaul.com

Company Behind Cascading Strengthens Executive Team with Addition of Big Data Veteran

SAN FRANCISCO – July 2, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today announced that it has named Paul O’Leary as its vice president of engineering. O’Leary, a seasoned veteran, brings more than 20 years of engineering and senior-level experience to the company behind Cascading™, the most widely used and deployed technology for Big Data applications with more than 75,000+ user downloads a month. His appointment strengthens the Concurrent executive leadership as the company scales to support new growth.

As vice president of engineering, O’Leary is responsible for managing the company’s product development. O’Leary most recently served as founder and CTO of Quantivo Corporation, a cloud-based analytics and Big Data management company, which was recently acquired by Aggregate Knowledge. Prior to Quantivo, O’Leary also held various vice president of engineering and senior-level roles at Privia, Inc., Proveer, Kontiki, Broadbase and IBM.

O’Leary’s appointment follows Concurrent’s recent announcement of Pattern, a free, open source, standard-based scoring engine, built on Cascading, that enables analysts and data scientists to quickly deploy machine-learning applications on Apache Hadoop™. Cascading provides the most comprehensive application framework for Hadoop. With the addition of Lingual (ANSI SQL) and Pattern (PMML), Cascading bridges the gap and allows enterprises to use existing skills and systems to easily develop and deploy robust applications on Hadoop. The combination of the three (Java, SQL, PMML) completes the application ensemble.

Supporting Quotes

“Paul’s deep experience in the development and implementation of cutting-edge technology and products is an invaluable asset to Concurrent as we execute and deliver on our core product strategy. Applications are front and center in the Big Data world, and we’re happy to have Paul leading and driving the product development effort and welcome him to the team.” -Gary Nakamura, CEO of Concurrent

“In the last few years, Big Data has exploded across all industries and now, more than ever, enterprises need a reliable and repeatable way to build Big Data applications, quickly and easily. As the brains behind Cascading, Concurrent has already tackled and solved that problem, and is
continuing to drive innovation. I’m excited to join the Concurrent leadership team and look forward to being a part the company’s continued success.” -Paul O’Leary, Vice President of Engineering of Concurrent

About Concurrent, Inc.

Concurrent, Inc.’s vision is to become the #1 software platform choice for Big Data applications. Concurrent builds application infrastructure products that are designed to help enterprises create, deploy, run and manage data processing applications at scale on Apache Hadoop.

Concurrent is the mind behind Cascading™, the most widely used and deployed technology for Big Data applications with more than 75,000+ user downloads a month. Used by thousands of data driven businesses including Twitter, eBay, The Climate Corp and Etsy, Cascading is the defacto standard in open source application infrastructure technology. Concurrent is headquartered in San Francisco. Visit Concurrent online athttp://www.concurrentinc.com.

Media Contact

Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 340 1982
concurrent@kulesafaul.com

SAN FRANCISCO – June 19, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today announced that Paco Nathan, director of Data Science, will deliver a talk, titled “Pattern – an open source project for migrating predictive models from SAS, R, Microstrategy®, etc., onto Hadoop” at the 6th Annual Hadoop Summit North America, taking place June 26-27, 2013 in San Jose, Calif. This two-day event will feature Apache Hadoop™ thought leaders who will showcase successful Hadoop use cases, share development tips and tricks and educate organizations about how to best leverage Apache Hadoop as a key constituent in their enterprise data architecture.

Details At-A-Glance

What: “Pattern – an open source project for migrating predictive models from SAS, R, Microstrategy®, etc., onto Hadoop” speaking session at Hadoop Summit
Who: Paco Nathan, director of Data Science of Concurrent, Inc., the company behind the Cascading™ application framework
When: Wednesday, June 26 at 4:55 p.m. PDT
Where: San Jose Convention Center
How: Register at http://www.hadoopsummit.org/san-jose/register/

Session Description

Pattern is a free, open source project, which takes models trained in popular analytics tools, such as SAS®, Microstrategy®, R and SQL Server, and runs them at scale on Apache Hadoop. This machine-learning library, based on the popular Cascading framework, works by translating PMML into data workflows and can be quickly deployed on your Apache Hadoop data. PMML models can be run in a pre-defined JAR file with no coding required and can also be combined with other flows based on ANSI SQL (Lingual), Scala (Scalding) and Clojure (Cascalog) to meet enterprise requirements. Benefits include greatly reduced development costs and less licensing issues at scale, while leveraging a combination of Apache Hadoop clusters, existing intellectual property in predictive models, and the core competencies of analytics staff. Sample code in this talk will show apps using predictive models built in SAS and R. In addition, examples will show how to compare variations of models for large-scale customer experiments. Portions of this material come from the O’Reilly book “Enterprise Data Workflows with Cascading,” publishing on July 10, 2013.

About the Speaker

Paco Nathan is director of Data Science at Concurrent, Inc., where he leads the company’s developer outreach program. He has a dual background from Stanford in math/statistics and distributed computing, and has more than 25 years experience in thetechnology industry. Nathan is an expert in Hadoop, R, predictive analytics, machine learning and natural language processing.

Supporting Resources

Cascading website: http://www.cascading.org
Pattern website: http://www.cascading.org/pattern
Concurrent website: http://www.concurrentinc.com
Contact Us: http://www.concurrentinc.com/contact
Follow us on Twitter: http://www.twitter.com/concurrent

About Concurrent, Inc.

Concurrent, Inc.’s vision is to become the #1 software platform choice for Big Data applications. Concurrent builds application infrastructure products that are designed to help enterprises create, deploy, run and manage data processing applications at scale on Apache Hadoop. Concurrent is the mind behind Cascading™, the most widely used and deployed technology for Big Data applications with more than 75,000+ user downloads a month. Used by thousands of data driven businesses including Twitter, eBay, The Climate Corp, and Etsy, Cascading is the de-facto standard in open source application infrastructure technology. Concurrent is headquartered in San Francisco. Visit Concurrent online at http://www.concurrentinc.com.

Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 340-1982
concurrent@kulesafaul.com

Concurrent, Inc. Teams with Hortonworks to Bring Rapid Application Development and Deployment To Hadoop

Cascading and the Hortonworks Data Platform Make Hadoop Application Development and Machine-Learning Deployment Quick and Easy

SAN FRANCISCO – June 18, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today announced that Hortonworks has certified its Cascadingapplication framework against the Hortonworks Data Platform (HDP). The certification ensures that enterprises can take advantage of Concurrent’s Cascading application framework and HDP to ease Hadoop Big Data application development and bring machine-learning applications to the masses.

Together, with the simplicity and flexibility of Cascading and the reliability and stability of the HDP, companies can rapidly build, test and deploy new data transformation and refinement, data processing, analytics and machine-learning applications. Enterprises can now leverage existing skill sets, core competencies and product investments by carrying them over to HDP via the standards-based technology – Java, ANSI SQL and machine-learning standards. Analysts and data scientists familiar with these can now easily run predictive data models at scale and integrate ETL, data preparation and predictive analytics in the same application, greatly reducing time to production and unlocking access to large Hadoop data sets.

HDP is the only 100-percent open source ApacheTM Hadoop®-based data management platform. HDP allows users to capture, process and share data in any format and at scale. Built and packaged by the core architects, builders and operators of Hadoop, HDP includes all of the necessary components to manage a cluster at scale and uncover business insights from existing and new big data sources. Cascading is the most widely used and deployed application framework for building robust, enterprise Big Data applications on Hadoop. Recognized companies, including
The Climate Corporation, eBay, Etsy, FlightCaster, iCrossing, Razorfish, Trulia, TeleNav and Twitter, are using Cascading to streamline data processing, data filtering and workflow optimization for large volumes of unstructured and semi-structured data. Cascading is also at the core of popular language extensions including PyCascading (Python + Cascading), Scalding (Scala + Cascading) and Cascalog (Clojure + Cascading) – open source projects sponsored by Twitter. Cascading has become the most reliable and repeatable way of building and deploying Big Data applications.

Supporting Quotes

“Hadoop adoption continues to grow as organizations look to take advantage of new data types and build new applications for the enterprise. By combining our enterprisegrade data platform and unparalleled growing ecosystem with the power, maturity and broad platform support of Concurrent’s Cascading application framework, we have now closed the modeling, development and production loop for all data-oriented applications.” -Shaun Connolly, Vice President, Corporate Strategy of Hortonworks

“Cascading is committed to driving simplicity into application development on Hadoop. By partnering with Hortonworks, we are combining the power of two premier Big Data technologies to deliver a holistic solution that further enables enterprises to drive differentiation through data.”
-Gary Nakamura, CEO of Concurrent, Inc.

Supporting Resources

Cascading website: http://www.cascading.org
Hortonworks website: http://www.hortonworks.com
Learn more with the Hortonworks Sandbox
Concurrent website: http://www.concurrentinc.com
Contact Us: http://www.concurrentinc.com/contact
Follow us on Twitter: http://www.twitter.com/concurrent

About Concurrent, Inc.

Concurrent, Inc.’s vision is to become the #1 software platform choice for Big Data applications. Concurrent builds application infrastructure products that are designed to help enterprises create, deploy, run and manage data processing applications at scale on Apache Hadoop.
Concurrent is the mind behind Cascading™, the most widely used and deployed technology for Big Data applications with more than 75,000+ user downloads a month. Used by thousands of data driven businesses including Twitter, eBay, The Climate Corp and Etsy, Cascading is the de-facto standard in open source application infrastructure technology. Concurrent is headquartered in San Francisco. Visit Concurrent online athttp://www.concurrentinc.com.

Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 340 1982
concurrent@kulesafaul.com

Launches Pattern, in combination with Cascading and Lingual; completes the ensemble and bridges the gap for enterprises to fulfill the promise of Hadoop in the enterprise

SAN FRANCISCO – May 21, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today introduced Pattern, a free, open source, standard-based scoring engine that enables analysts and data scientists to quickly deploy machine-learning applications on Apache Hadoop™. Leveraging the power and broad platform support of the Cascading application framework, Pattern lowers the barrier to Hadoop adoption by enabling companies to leverage existing intellectual property (IP) in predictive models, existing investments in software tooling and the core competencies of existing analytics staff to run Big Data applications from existing machine-learning models using Predictive Model Markup Language (PMML) or through a simple programming interface.

Hadoop is rapidly becoming the tool of choice for tackling enterprise Big Data analytics needs in an effort to make the most of growing volumes of unstructured and semi-structured data. The need for Hadoop to easily integrate with existing data management and analytics systems, however, has created a real barrier to comprehensive Hadoop adoption.

Enter Pattern: PMML for Cascading and Hadoop

With the introduction of Pattern, companies can now leverage existing skill sets, core competencies and product investments by carrying them over to Hadoop via the standards-based PMML technology. PMML is the standard export format for tools, such as R, MicroStrategies® and SAS®; and with Pattern, analysts and data scientists familiar with these technologies can now run predictive data models at scale and integrate ETL, data preparation and predictive analytics in the same application to greatly reduce development time and unlock accessibility to large Hadoop data sets. Pattern in turn will enable a whole new class of use cases and simplify experiments.

Pattern runs on Cascading, the most widely used and deployed application framework for building robust, enterprise Big Data applications on Hadoop. Recognized companies, including The Climate Corporation, eBay, Etsy, FlightCaster, iCrossing, Razorfish, Trulia, TeleNav and Twitter, are using Cascading to streamline data processing, data filtering and workflow optimization for large volumes of unstructured and semi-structured data. Cascading is also at the core of popular language extensions including PyCascading (Python + Cascading), Scalding (Scala + Cascading) and Cascalog (Clojure + Cascading) – open source projects sponsored by Twitter. Cascading has become the most reliable and repeatable way of building and deploying Big Data applications.

By leveraging the Cascading framework, enterprises can apply Java, SQL and predictive modeling investments, and combine the respective outputs of multiple departments into a single application on Hadoop. This is a powerful step forward in delivering on the full promise of the business of Big Data.

Supporting Quotes

“Pattern facilitates AgilOne to deploy a variety of advanced machine-learning algorithms for our cloud-based predictive marketing intelligence solution. As a self-service SaaS offering, Pattern allows us to evaluate multiple models and push the clients’ best models into our high performance scoring system. The PMML interface allows our advanced clients to deploy custom models.”
-Antony Arokiasamy, Senior Software Architect, AgilOne

“Concurrent is tearing down barriers for mass Hadoop adoption. With Pattern, we have cleared another path by enabling data scientists to more easily bring their work to production. When combined, Cascading, Lingual and Pattern close the modeling, development and production loop for all data oriented applications. The combination of the three is the application ensemble for further enabling enterprises to drive differentiation through data.”
-Chris Wensel, CTO and Founder, Concurrent, Inc.

Supporting Resources

Pattern website: http://www.cascading.org/pattern
Cascading website: http://www.cascading.org
Lingual website: http://www.cascading.org/lingual
Company: http://www.concurrentinc.com
Contact Us: http://www.concurrentinc.com/contact
Follow us on Twitter: http://twitter.com/concurrent

Availability and Pricing

Pattern is a free, open source software and available under the Apache 2.0 License. To learn more about the Pattern project, visit http://www.cascading.org/pattern. Concurrent also offers standard and premium support subscriptions for enterprise use. To learn more about Concurrent’s offerings, please visit http://www.concurrentinc.com.

About Concurrent, Inc.

Concurrent, Inc.’s vision is to become the #1 software platform choice for Big Data applications. Concurrent builds application infrastructure products that are designed to help enterprises create, deploy, run and manage data processing applications at scale on Apache Hadoop.

Concurrent is the mind behind Cascading™, the most widely used and deployed technology for Big Data applications with more than 75,000+ user downloads a month. Used by thousands of data driven businesses including Twitter, eBay, The Climate Corp and Etsy, Cascading is the de-facto standard in open source application infrastructure technology. Concurrent is headquartered in San Francisco. Visit Concurrent online athttp://www.concurrentinc.com.

Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 340 1982
concurrent@kulesafaul.com

MapR provides direct integration with Concurrent’s open source Cascading framework in Hadoop distribution

SAN FRANCISCO – May 15, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today announced a partnership with MapR Technologies, Inc.™, the Hadoop technology leader, to expand usage of Apache Hadoop™ in the enterprise. Under this partnership, the MapR Distribution for Apache Hadoop has been certified compatible with Concurrent’s Cascading application framework and is now supported for production use by Concurrent’s customers. The MapR platform will also include an open-source application Multitool, based on Cascading, which allows users to search, find and process data files from the command line across a Hadoop cluster.

Apache Hadoop open source has been adopted quickly in “new economy” companies, but the requirement to write and manage complex MapReduce jobs and the inability to integrate the analytics with enterprise applications have slowed the broader mass adoption. By combining the MapR dependability, data protection and performance innovations with the power and broad platform support of Concurrent’s Cascading application framework, the two companies are bringing a simple-to-use, enterprise-grade development framework and deployment platform together for large-scale data analysis.

The MapR enterprise-grade platform supports a broad set of mission-critical and real-time production uses and brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified Big Data platform. MapR is the only distribution that enables Linux applications and commands to access data directly in the cluster via the NFS interface that is available with all MapR editions. Leading Fortune 100 and Web 2.0 companies, across industries, use MapR to analyze hundreds of billions of objects a day. MapR’s broad partner ecosystem includes market leaders such as Amazon, Cisco and Google.

Cascading is the most widely used and deployed application framework for building robust, enterprise Big Data applications on Hadoop. Recognized companies, including The Climate Corporation, eBay, Etsy, FlightCaster, iCrossing, Razorfish, Trulia, TeleNav and Twitter are using Cascading to streamline data processing, data filtering and workflow optimization for large volumes of unstructured and semi-structured data. Cascading is also at the core of popular language extensions including PyCascading (Python + Cascading), Scalding (Scala + Cascading) and Cascalog (Clojure + Cascading) – open source projects sponsored by Twitter. Cascading has become the most reliable and repeatable way of building and deploying Big Data applications.

Supporting Quotes

“MapR is committed to continual innovation and growth in the Hadoop community. We’ve now fully certified the MapR Distribution with Cascading 2.1, a tool that has helped drive industry momentum and is widely leveraged by organizations whose business depends on data analysis. By partnering with Concurrent, we further expand on the promise of Hadoop by building a more robust and comprehensive solution for our customers.”
-John Schroeder, CEO and Co-Founder, MapR Technologies

“Enterprises in the business of data have the most to gain from using Hadoop, and MapR is the only Hadoop distribution that provides full data protection, no single points of failure, improved performance, and dramatic ease of use advantages to the enterprise. With today’s partnership, we have combined the power of Cascading with the reliability, scalability and performance of the MapR enterprise-grade platform, delivering one the most comprehensive offerings for Hadoop applications.”
-Gary Nakamura, CEO of Concurrent, Inc.

Supporting Resources

Cascading website: http://cascading.org
MapR website: http://www.mapr.com
Company: http://www.concurrentinc.com
Contact Us: http://concurrentinc.com/contact
Follow us on Twitter: http://twitter.com/concurrent

About MapR Technologies

MapR delivers on the promise of Hadoop with a proven, enterprise-grade platform that supports a broad set of mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified Big Data platform. MapR is used across financial services, retail, media, healthcare, manufacturing, telecommunications and government organizations as well as by leading Fortune 100 and Web 2.0 companies. Amazon, Cisco and Google are part of MapR’s broad partner ecosystem. Investors include Lightspeed Venture Partners, Mayfield Fund, NEA, and Redpoint Ventures. Connect with MapR on Facebook, LinkedIn and Twitter.

About Concurrent, Inc.

Concurrent, Inc. is the enterprise Big Data application platform company. Concurrent simplifies Big Data application development, deployment and management on Apache Hadoop. We are the company behind Cascading, the most widely used and deployed technology for building Big Data applications with more than 75,000 user downloads a month. Enterprises including Twitter, eBay, The Climate Corporation and Etsy all rely on Concurrent’s technology to drive their Big Data deployments. Concurrent is headquartered in San Francisco. Investors include Rembrandt Venture Partners and True Ventures. Connect with Concurrent on LinkedIn and Twitter.

Visit Concurrent Inc online at http://concurrentinc.com

Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 340 1982
concurrent@kulesafaul.com

Concurrent, Inc.’s Data Scientist to Present at Upcoming Big Data and Enterprise Tech Events

Cascading-Themed Sessions will be Held at Airbnb’s SF Tech Talk and Data Day Texas

SAN FRANCISCO – March 26, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today announced its director of Data Science, Paco Nathan, will present at two upcoming industry events, Airbnb’s Tech Talk in San Francisco and Data Day Texas in Austin, Texas. The talks will draw upon Nathan’s expert knowledge of Big Data and Cascading, and will include a keynote session at Data Day Texas.

Details At-A-Glance:

Airbnb SF Tech Talk

What: “Cascading: Enterprise Data Workflows based on Functional Programming”

When: Wednesday, March 27, at 7 p.m. PDT

Where: Airbnb Headquarters in San Francisco

How: To register and learn more about the talk, please visit:bit.ly/100h4CN

Nathan’s talk will be additionally live streamed and archived at: bit.ly/YKOlRE. Sponsored by O’Reilly Media, the event will also feature a drawing for free copies of his recently published “Enterprise Data Workflow with Cascading” book.

Data Day Texas Keynote

What: “Big Data in Texas: Then, Now, and Ahead”

When: Saturday, March 30, at 9 a.m. CDT

Where: AT&T Executive Education Conference Center, Austin

How: To register and learn more about the talk, please visit:bit.ly/YhKDp9

Data Day Texas Session

What: “Big Friendly Data Across Departments: Enterprise Data Workflows with Cascading”

When: Saturday, March 30, time TBD – please check the event agenda

Where: AT&T Executive Education Conference Center, Austin

How: To register and learn more about the talk, please visit:bit.ly/YhKDp9

Nathan will be holding office hours in the afternoon. He will additionally participate in a “Birds-of-a-Feather” meeting on Cascalog, in conjunction with the Austin and Dallas/Fort Worth Clojure Meetup groups. For more details on all, please visit: bit.ly/YhKDp9

About the Speaker

Paco Nathan is director of Data Science at Concurrent, Inc., where he leads the company’s developer outreach program. He holds a dual degree from Stanford in math/statistics and distributed computing, and has more than 25 years experience in the technology industry. Nathan is an expert in Hadoop, R, predictive analytics, machine learning and natural language processing. He has built and led several expert Data Science teams and is a frequent speaker at industry events.

Supporting Resources

• Cascading website: http://cascading.org
• Company: http://concurrentinc.com
• Contact us: http://concurrentinc.com/contact
• Follow us on Twitter: http://twitter.com/concurrent

About Concurrent, Inc.

Concurrent, Inc. is the enterprise Big Data application platform company. Founded in 2008, Concurrent simplifies Big Data application development, deployment and management on Apache Hadoop. We are the company behind Cascading, the most widely used and deployed technology for building Big Data applications with more than 75,000 user downloads a month. Enterprises including Twitter, eBay, The Climate Corporation and Etsy all rely on Concurrent’s technology to drive their Big Data deployments.  Concurrent is headquartered in San Francisco. Visit Concurrent online athttp://concurrentinc.com.

Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 340 1982
concurrent@kulesafaul.com

FOR IMMEDIATE RELEASE

Concurrent Closes $4 Million in Series A Funding, Appoints Gary Nakamura as CEO

New Funding and Leadership Will Accelerate Product Development and Grow Core Team

SAN FRANCISCO – March 20, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today announced it has raised $4 million in Series A funding. The investment, led by True Ventures and Rembrandt Venture Partners, will be used to fuel product development, grow the core team and further deliver on the company’s vision to simplify Big Data application development on Apache Hadoop™. Concurrent is also announcing the appointment of Gary Nakamura as CEO, a high-tech executive with a winning track record and more than 20 years of experience.

Corporate Milestones

• Today’s $4 million in Series A financing follows a $900,000 seed investment in August 2011.
• Launched Cascading 2.1, the most widely used and deployed application framework for building robust, enterprise Big Data applications on Hadoop.
• User downloads of Cascading have surpassed more than 75,000 per month.
• Companies including The Climate Corporation, eBay, Etsy, FlightCaster, iCrossing, Razorfish, Trulia, TeleNav andTwitter are using Cascading to streamline data processing, data filtering and workflow optimization for large volumes of unstructured and semi-structured data.
• Launched Lingual, an open source project that delivers ANSI-standard SQL technology to easily build new and integrate existing applications onto Hadoop.
• Entered into partnerships with technology leaders including, Amazon Web Services, Microsoft Azure, SpringSource, MapR, Greenplum, Karmasphere, Think Big Analytics and Scale Unlimited.
• Industry recognition includes 2012 InfoWorld Best of Open Source Software award win in the “Best Open Source Databases” category.

In conjunction with the funding news, Concurrent is pleased to welcome Gary Nakamura as CEO, effective immediately. Prior to joining Concurrent, Nakamura served as senior vice president and general manager of Terracotta, Inc., which was recently acquired by Software AG. There he led strategy, oversaw operating profit and loss, and ran business operations including sales, marketing and product management.

Founder Chris Wensel will take on a new role as CTO, where he will lead product innovation and Cascading community engagement for the company. “We are extremely excited to welcome Gary to Concurrent,” Wensel said. “His deep experience in the enterprise Big Data market will help us take the company to the next level.”

Supporting Quotes

“Our investors’ confidence in Concurrent validates our strategy and the pioneering work we have done since the launch of Cascading in 2008. This new investment will enable us to build on this foundation and accelerate our growth as we work to deliver our commercial product and grow the core team. I am excited to be joining Concurrent at such a pivotal time and look forward to driving the company’s continued growth and development.”

-Gary Nakamura, CEO, Concurrent, Inc.

“After our initial investment, we have watched Concurrent grow substantially and lead the Big Data application development market. The promise of its core technology, combined with the management team’s pedigree and Cascading’s success, continue to make this an exciting investment opportunity.”

-Puneet Agarwal, Partner, True Ventures

“Since partnering with Concurrent in 2011, we have been impressed with the widespread adoption of its technology. We believe Cascading is an important innovation and is critical to the growth and sustainability of the Big Data technologies in the enterprise. We are excited about Concurrent’s success, and this additional financing from Rembrandt is a testament to the company’s talent, technology and ability to deliver next-generation Big Data application development and management solutions to the enterprise.”

-In Sik Rhee, General Partner, Rembrandt Venture Partners

Supporting Resources

• Company: http://concurrentinc.com
• Cascading website: http://cascading.org
• Contact us: http://concurrentinc.com/contact
• Follow us on Twitter: http://twitter.com/concurrent

About Concurrent, Inc.

Concurrent, Inc. is the enterprise Big Data application platform company. Founded in 2008, Concurrent simplifies Big Data application development, deployment and management on Apache Hadoop. We are the company behind Cascading, the most widely used and deployed technology for building Big Data applications with more than 75,000 user downloads a month. Enterprises including Twitter, eBay, The Climate Corporation and Etsy all rely on Concurrent’s technology to drive their Big Data deployments. Concurrent is headquartered in San Francisco. Visit Concurrent online at http://concurrentinc.com.

Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 340 1982
concurrent@kulesafaul.com

FOR IMMEDIATE RELEASE

Concurrent Enables SQL Users to Build Big Data Applications on Hadoop in Less Than 30 Seconds 

Introducing Lingual, an open source software project that delivers ANSI-standard SQL technology to easily build new and integrate existing applications onto Hadoop

SAN FRANCISCO – Feb. 20, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today announced Lingual, an open source project enabling fast and simple Big Data application development on Apache Hadoop™. Leveraging the power and broad platform support of the Cascading application framework, Lingual lowers the barrier to enterprise Hadoop adoption by allowing SQL users to utilize existing skills to instantly create and run Big Data applications on Hadoop, without any new training or having to think in MapReduce.

Enterprises today are rapidly adopting Hadoop to deal with growing volumes of both unstructured and semi-structured data. However, the need for Hadoop to easily integrate with existing data management systems creates a real barrier to unlocking the full potential of Big Data and Hadoop.

Enter Lingual: True SQL for Cascading and Hadoop

With Lingual, companies can now leverage existing skill sets and product investments by carrying them over to Hadoop via a standards-based technology. Analysts and developers, familiar with SQL, JDBC or traditional BI tools, can now instantly and easily create and run Big Data applications on Hadoop, while gaining significant productivity and time-to-market benefits. Lingual presents a true ANSI-standard SQL interface and is compatible with all major Hadoopdistributions whether on-premise or in the cloud. Lingual use-case examples include:

• Data analysts, scientists and developers can now simply ‘cut and paste’ existing ANSI SQL code from traditional data warehouses and instantly access data locked on a Hadoop cluster.

• Developers can use a standard Java JDBC interface to create new Hadoop applications, or use any of the Cascading APIs and languages, such as Scalding and Cascalog.

• Being ANSI-standard compliant, companies can now query and export data from Hadoop directly into traditional BI tools.

Lingual runs on Cascading, the most widely used and deployed application framework for building robust, enterprise Big Data applications on Hadoop. Recognized companies, including The Climate Corporation, eBay, Etsy, FlightCaster, iCrossing, Razorfish, Trulia, TeleNav and Twitter are using Cascading to streamline data processing, data filtering and workflow optimization for large volumes of unstructured and semi-structured data. Cascading is also at the core of popular language extensions including PyCascading (Python + Cascading), Scalding (Scala + Cascading) and Cascalog (Clojure + Cascading) – open source projects sponsored by Twitter. Cascading has become the most reliable and repeatable way of building and deploying Big Data applications.

Supporting Quotes

“Here at Kontagent, we are very excited about the prospect of using standard SQL to provide seamless access to the billions of events that we track daily. Rather than filtering through events and exporting them to mySQL, our customer support staff and data scientists will finally be able to work with tools they already know to query the raw data directly within our Hadoop cluster through the use of Lingual and Cascading.”
-Zack Shapiro, Director of Engineering, Kontagent

“Concurrent was established with the belief that there had to be a simpler path to mass Hadoop adoption. And since day one, we have worked to create solutions that make it easier for developers to build powerful and robust Big Data application, quickly and easily. With the Lingual project, we are one huge step closer to realizing our mission.”

-Chris Wensel, CTO and Founder, Concurrent, Inc.

Supporting Resources

• Lingual website: http://cascading.org/lingual
• Cascading website: http://cascading.org
• Company: http://concurrentinc.com
• Contact Us: http://concurrentinc.com/contact
• Follow us on Twitter: http://twitter.com/concurrent

Availability and Pricing

Lingual will soon be publicly available and freely licensable under the Apache 2.0 License Agreement. To learn more about the Lingual project, visit http://cascading.org/lingual. Concurrent also offers standard and premium support subscriptions for enterprise use. To learn more about Concurrent’s offerings, please visithttp://concurrentinc.com.

About Concurrent, Inc.

Concurrent, Inc. is the enterprise Big Data application platform company. Founded in 2008, Concurrent simplifies Big Data application development, deployment and management on Apache Hadoop. We are the company behind Cascading, the most widely used and deployed technology for building Big Data applications with more than 75,000 user downloads a month. Enterprises including Twitter, eBay, The Climate Corporation and Etsy all rely on Concurrent’s technology to drive their Big Data deployments.  Concurrent is headquartered in San Francisco. Visit Concurrent online athttp://concurrentinc.com.

Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 340 1982
concurrent@kulesafaul.com

FOR IMMEDIATE RELEASE

Cascading Named 2012 Best Open Source Software Winner

IDG’s InfoWorld Bossie Awards Recognize Top Open Source Software for Enterprises

SAN FRANCISCO – September 19, 2012 – Concurrent, Inc., the enterprise Big Data application platform company behind the open source project Cascading, has been recognized as a winner of InfoWorld’s Best of Open Source Software Awards in the “Best Open Source Databases” category. Known as the “Bossies,” the annual awards recognize the best free and open source software the world has to offer to businesses, IT professionals and productive individuals who rely on computers to get work done.

Selected by InfoWorld Test Center editors and reviewers, the 2012 Bossies celebrate software products and companies that demonstrate innovation, functionality, ease-of-use, implementation and a proven track record in serving the needs of today’s businesses.

Cascading is an application framework enabling Java developers to quickly and easily build robust data processing and machine learning applications on Apache Hadoop that can be deployed on clusters running in the cloud or within private data centers. Available under the Apache 2.0 License Agreement, Cascading offers an alternate API to MapReduce to simplify Big Data application development and deployment.

Recognized companies including, Airbnb, Climate Corporation, Etsy, FlightCaster, iCrossing, Razorfish, Trulia, TeleNav and Twitter are using Cascading to streamline data processing, data filtering and workflow optimization for large volumes of unstructured and semi-structured data. With a quickly growing community around it, Cascading is also at the core of popular language extensions including, PyCascading, Scalding and Cascalog (open source projects sponsored by Twitter) and tools including, CloudFront LogAnalyzer (developed by Amazon).

“It is a great honor to have Concurrent named a Bossie winner,” said Chris Wensel, CEO and founder of Concurrent Inc. “To be held in such high esteem by our industry is a real privilege — the recognition validates the value and quality of our open source technology.  Large companies have built mission critical applications that depend on Cascading to address their business challenges, and our vision is to continue to help developers be the most productive when developing any type of Big Data application.”

The 2012 Bossie winners include more than 100 products in seven categories covering business and productivity applications, development tools, middleware, networking, security and storage. The full award results are available athttp://bit.ly/QybtAG.

About InfoWorld Media Group

InfoWorld Media Group helps IT solutions management choose the right technology, within the context of a cohesive strategy, for maximum business impact at their organizations. Rather than merely covering the enterprise technology market, InfoWorld identifies and promotes emerging technology segments that add unique value for the organizations that implement them, as well as the vendors that provide those solutions. Using an integrated communications approach including online, events, social media, research, and a continued investment in an independent Test Center, InfoWorld analysts and editors provide both hands-on analysis and evaluation, as well as expert commentary on issues surrounding emerging technologies and products. Visit InfoWorld athttp://www.infoworld.com.

About International Data Group 
International Data Group (IDG) is the world’s leading technology media, events and research company. IDG’s online network includes more than 450 Web sites spanning business technology, consumer technology, digital entertainment and video games worldwide. IDG also publishes more than 300 magazines and newspapers in 85 countries. IDG’s media brands include CIO, CSO, Computerworld, GamePro, InfoWorld/TecWorld/TecChannel, Macworld, Network World and PC World. IDG’s lead-generation service, IDG Connect, matches technology companies with an audience of engaged, high-quality IT professionals, influencers and decision makers.

IDG is a leading producer of more than 750 technology-related events including Macworld Conference & Expo, LinuxWorld Conference & Expo, Entertainment for All Expo (E for All), DEMO, Storage Networking World and IDC Directions. IDC, a subsidiary of IDG, is the premier global provider of market intelligence, advisory services, and events. Over 1,000 IDC analysts in more than 110 countries provide global, regional and local expertise on technology and industry opportunities and trends.

Additional information about IDG, a privately held company, is available at http://www.idg.com.

All product and company names are trademarks of their respective companies.

About Concurrent, Inc.

Concurrent, Inc. is the enterprise Big Data application platform company. Founded in 2008 by Chris Wensel, the author of the popular open source Cascading API, Concurrent simplifies Big Data application development, deployment and management on Apache Hadoop. Concurrent is based in San Francisco and funded by Rembrandt Venture Partners and True Ventures. Visit Concurrent online at http://www.concurrentinc.com.