Sign-up here: http://www.meetup.com/Hadoop-User-Group-France/events/218753457/

When:
Tuesday, November 25, 2014, 6:30 PM
Mardi 25 Novembre à 18h30

Where:
Viadeo
30 Rue de la Victoire
75009 Paris

What:
Hadoop Meetup chez Viadeo sur Cascading/Tez avec Concurrent Inc et Hortonworks

• Talk #1: Introduction sur Tez par Olivier RENAULT de HortonWorks (session en francais).

Speaker : Olivier Renault is a Principal Solution Engineer at Hortonworks the company behind Hortonworks Data Platform. Olivier is an expert on how to deploy Hadoop at scale in a secure and performant manner.

Abstract: During this presentation, Olivier will introduce Apache Tez. What it does ? Why is it seen by many as the Map Reduce v2. How is it helping Hive / Pig / Cascading and other increase their performance.

• Talk #2: The Cascading (big) data application framework from Andre KELPE , ConcurrentInc (session en anglais).

Speaker: André Kelpe is a Senior Software Engineer at Concurrent the company behind Cascading, Lingual and Driven. André has spoken about Cascading and Lingual at various tech meetups, devoxx 2013 and the Technical University of Berlin. Prior to concurrent he worked in the world of digital maps and navigation.

Abstract: Cascading is widely deployed, production ready open source data application framework geared towards Java developers. Cascading enables developers to write complex data applications without the need to become a distributed systems expert. Cascading apps are portable between different computation frameworks, so that a given application can be moved from Hadoop onto new processing platforms like Apache Tez or Apache Spark without any rewriting of the application code.

• 21h00-… : Apéro networking

Sign-up here: http://meetu.ps/2zTK24

When:
Wednesday, October 15, 2014
6:30 PM

Where:
Twitter NYC office
340 Madison, 6th Floor
New York, NY

What:
Please join us for our October Elasticsearch meetup at Twitter featuring speakers from Elasticsearch, Found AS, Concurrent, and food and drinks.

Speaker Bios:
Elasticsearch: Costin Leau is an engineer at Elasticsearch, leading the Hadoop efforts. An open-source veteran, Costin led various Spring projects and authored an OSGi spec. Speaker at various editions of EclipseCon/OSGi DevCon, JavaOne, Devoxx/Javapolis, JavaZone, SpringOne, TSSJS on Java/Spring/Hadoop related topics.

Found AS: Konrad Beiske is a senior software engineer at Found AS, a company whose primary product is a hosted Elasticsearch service. Konrad holds a Master’s Degree in Computer Science, with an emphasis on databases and distributed systems. He has been focusing on Elasticsearch during the past two years. Konrad gives presentations about Elasticsearch and distributed systems at meetups and conferences, and he writes regularly on the Foundation blog.

Konrad will be presenting on Elasticsearch in Production — things to think about before going into production with your Elasticsearch implementation.

Concurrent: Supreet Oberoi is the Vice President of Field Engineering at Concurrent. Prior, as the Director of Big Data application infrastructure for American Express, he led the development of use cases for fraud, operational risk, marketing and privacy on Big Data platforms. He is a holder of multiple patents in data engineering and has also had leadership roles at Real-Time Innovations, Oracle and Microsoft.

Supreet will be presenting on “Large scale log processing with Cascading & Elastic Search”. Elasticsearch is becoming a popular platform for log analysis with its ELK stack: Elasticsearch for search, Logstash for centralized logging, and Kibana for visualization. Complemented with Cascading, the application development platform for building Data applications on Apache Hadoop, developers can correlate at scale multiple log and data streams to perform rich and complex log processing before making it available to the ELK stack. Join Supreet Oberoi from Concurrent, the people behind Cascading, as he explains how Cascading enables efficient and robust development of data-applications for Hadoop. In addition, he will talk about the challenges in operationalizing large-scale log processing applications on which businesses can depend.

Date: Thursday, September 18, 2014
Time: 9am Pacific
Register at: http://info.hortonworks.com/WC_YarnReadySeries_Scalding_09.18.14_Webinar

At the center of many data-driven businesses is Scalding. Scalding is a Scala library based on the Cascading framework and is designed to simplify application development on Hadoop and YARN.

Please join us as Jonathan Coveney, Sr. Software Engineer at Twitter, teaches us about Scalding, and how Twitter uses it to perform a variety of tasks such as traffic quality measurement, ad targeting, market insight, and more.

Date: Wednesday, August 20, 2014
Time: 9am Pacific
Register at: http://www.elasticsearch.org/webinars/elasticsearch-and-apache-hadoop

Finding relevant information fast has always been a challenge, even more so in today’s growing “oceans” of data. Over the past few years, leading businesses have deployed Apache Hadoop extensively to store and process this ocean. Today’s challenge is to maximize analytical insights and return on investment from this existing Hadoop infrastructure.

Enter Elasticsearch for Apache Hadoop, affectionately known as es-hadoop. es-hadoop enables data-hungry businesses to enhance their Hadoop workflows with a full-blown search and analytics engine. Best of all, es-hadoop allows businesses to gain insights from their data in real-time.

In this webinar, Costin Leau, lead developer for es-hadoop, will discuss:

• An overview of how Elasticsearch plays in the overall Hadoop ecosystem
• What is es-hadoop? A full feature overview and the benefits of using it
• How es-hadoop augments existing Hadoop deployments, regardless of flavor of Hadoop distro
• How Elasticsearch and es-hadop help businesses extract insights and analytics from their Hadoop deployments, all in real-time

After an overview of es-hadoop’s functionality, Costin will treat us to a use case deep dive. He’ll demo using es-hadoop coupled with Elasticsearch as a platform to perform search and analytics, such as anomaly detection. During his demo, Costin will be show you how to do the same analytics on your own Hadoop infrastructure. He’ll conclude with some tips for success for initial deployment of es-hadoop and Elasticsearch.

Big Data is moving to the next level of maturity and it’s all about the applications.

Date: Wednesday, July 30, 2014
Time: 10am Pacific / 1pm Eastern
Register at: http://hub.am/Wia1v7

Join the minds behind Cascading, the most widely used and deployed development framework for building Big Data applications, as they discuss how Cascading and Qubole enable developers to accelerate the time to market for their data applications, from development to production.

In this webinar, we will introduce how to easily and reliably develop, test, and scale your data applications and then deploy them on Qubole’s auto-scaling Hadoop infrastructure.

Learn how to:

• Easily and reliably develop, test, and scale your data applications
• How to seamlessly deploy your applications on auto-scaling Hadoop infrastructure
• Tackle a wide variety of big data challenges

Sign-up here: http://meetu.ps/2qgDXs

When:
Tuesday, July 22, 2014
6:30 PM

Where:
Rackspace
620 Folsom Street, Suite 100
San Francisco, CA

What:
Big Data is moving to the next level of maturity and it’s all about the applications. Join Supreet Oberoi, one of the minds behind Cascading, the most widely used and deployed development framework for building Big Data applications, as we discuss how Cascading can enable developers to accelerate the time to market for their data applications, from development to production. In this session, Supreet will introduce how to easily and reliably develop, test, and scale your data applications and then deploy them on Hadoop. He will also explain the growth behind Cascading and talk about Cascading’s future with Spark.

Speaker’s bio:
Supreet Oberoi is the Vice President of Field Engineering atConcurrent Inc. Prior to that, as the Director of Big Data application infrastructure for American Express, he led the development of use cases for fraud, operational risk, marketing and privacy on the Big Data platforms. Holder of multiple patents in data engineering, Supreet has had leadership roles at Real-Time Innovations, Oracle and Microsoft. He has an MS in Computer Sciences from Stanford University, and a BS with Highest Honors from University of Texas at Austin.

Schedule:
6:30 – 7:00pm Social (food + drinks served)
7:00 – 8:00pm Talk (including Q&A)
8:00 – 8:30pm Social

Special thanks to the DevBrill MeetUp Group for arranging!

http://www.meetup.com/DevBrill-Developers-Meetup-SF-Bay-Area/

Sign-up here: http://meetu.ps/2pkxTq

When:
Monday, June 30, 2014
6:30 PM (London Time)

Where:
Barclays Accelerator
69-89 Mile End Road, E1 4UJ
London, United Kingdom

Big Data Workflows – Agenda

• 6:30pm: Networking, food and drinks, courtesy of our sponsors
• 7:00pm: Main Talks
  — Mike Hummel, Head of Product and R&D at ParStream
  — Gavin Targonski, Big Data Product Manager at Talend
  — Antonios Chalkiopoulos, Senior Big Data engineer at Sky: Programming MapReduce with Scalding, author – Scalding (Scala DSL for Cascading)
• 8:30pm: More networking and drinks

Alexis Roos to Deliver Session on Cascading Pattern at Hadoop Summit North America, Cascading at Big Data Expo 2014

SAN FRANCISCO – May 28, 2014– Concurrent, Inc., the enterprise data application platform company, today announced that Alexis Roos, senior solutions architect, will present at two upcoming industry events: Hadoop Summit North America 2014, taking place June 3-5 in San Jose, Calif. and Big Data Expo 2014, taking place June 10-12 in New York City.

At Hadoop Summit North America, Alexis will deliver a talk on Cascading Pattern, a standards-based scoring engine that leverages the power of Cascading and enables analysts and data scientists to quickly deploy machine-scoring applications on Hadoop. Additionally, a week later at Big Data Expo, Alexis will provide an introduction to Cascading, the most widely used and deployed application development framework for building data-oriented applications that enables organizations to operationalize their data and solve business problems.

Concurrent Presentations At-A-Glance

Hadoop Summit North America 2014
What: “Pattern: An Open Source Project for Migrating Predictive Models from SAS, etc., onto Hadoop”
Who: Alexis Roos, senior solutions architect, Concurrent, Inc.
When: Tuesday, June 3 at 1:45 p.m. PT
How: Register at http://hadoopsummit.org/san-jose/register/

Session Description
Cascading Pattern is a free, open source project, which takes models trained in popular analytics frameworks, such as SAS, Microstrategy, SQL Server, etc., and runs them at scale on Hadoop. Based on the popular Cascading framework, Cascading Pattern effectively lowers the barrier or adoption on Hadoop for developers where they can use a Java API to create complex machine-scoring applications. Alexis will provide sample code that will show applications using predictive models build in SAS and R, such as anti-fraud classifiers. Additionally, Alexis will compare variations of models for enterprise-class customer experiments.

Big Data Expo 2014
What: “Using Cascading to Build Enterprise Data Applications that Drive Innovation and Advantage”
Who: Alexis Roos, senior solutions architect, Concurrent, Inc.
When: Tuesday, June 10 at 1:55 p.m. ET
How: Register at http://registration.sys-con.com/

Session Description
Cascading is the most popular application development framework for building enterprise-grade data applications on Hadoop. This open source development framework allows developers to leverage their existing skillsets, such as Java and SQL, to create reliable applications without having to think in MapReduce. Alexis will provide an introduction to Cascading and then dive into using it to build applications. Attendees will learn what types of use cases exist for data-driven businesses, how to approach them with Cascading and its vast ecosystems, and the best practices for Cascading application development.

About the Speaker
Alexis Roos is a senior solutions architect focusing on Big Data solutions at Concurrent, Inc. He has more than 18 years of experience in software and sales engineering, helping both Fortune 500 firms and startups build new products that leverage Big Data, application infrastructure, security, databases and mobile technologies. Prior, Alexis worked for Sun Microsystems and Oracle for more than 13 years, as well as Couchbase and several large systems integrators in Europe.

Supporting Resources

• Company: http://concurrentinc.com
• Cascading: http://cascading.org
• Driven: http://www.cascading.io/driven
• Contact us: http://concurrentinc.com/contact
• Twitter: http://twitter.com/concurrent
• LinkedIn: http://www.linkedin.com/company/concurrent-inc
• YouTube: http://www.youtube.com/getcascading

About Concurrent, Inc.

Concurrent, Inc. is the leader in Big Data application infrastructure, delivering products that help enterprises create, deploy, run and manage data applications at scale. The company’s flagship enterprise solution, Driven, was designed to accelerate the development and management of enterprise data applications. Concurrent is the team behind Cascading, the most widely deployed technology for data applications with more than 150,000 user downloads a month. Used by thousands of businesses including eBay, Etsy, The Climate Corp and Twitter, Cascading is the de facto standard in open source application infrastructure technology. Concurrent is headquartered in San Francisco and online at http://concurrentinc.com.

###

Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 922-7287
concurrent@kulesafaul.com

Sign-up here: http://meetu.ps/2kX222

When:
Monday, June 2, 2014
6:30 PM (Pacific Time)

Where:
Hilton Hotel, Almaden Room
300 Almaden Blvd
San Jose, CA

Accelerate Big Data Application Development with Cascading and HDP

Join Concurrent’s VP of Field Engineering, Supreet Oberoi, to learn how to accelerate your big data application development with the popular Cascading framework and Hortonworks Data Platform.

We will:

• Describe how developers can create future proof, data-driven applications built on Apache Hadoop
• Take advantage of the latest Hadoop processing frameworks like YARN and Tez
• Learn more about Cascading – the application development platform that allows Java developers to focus on the data-manipulation logic while abstracting the platforms underneath
• Demonstrate an application developed with Java-based Cascading middleware on the Hortonworks Sandbox

Sign-up here: http://meetu.ps/2jKjZd

When:
Thursday, May 29, 2014
6:00 PM (Pacific Time)

Where:
LinkedIn
2025 Stierlin Ct.
Mountain View, CA

How LinkedIn uses Scalding for Data Science

Data Science has a reputation for being complicated, but with the help of Scala, Scalding & Cascading, most patterns can be significantly simplified. This talk shows some common patterns within data science that can be redesigned & simplified, in many cases, to almost a single line!

Join, Vitaly Gordon, Senior Data Scientist at Linkedin, to learn more about how Vitaly and his team at Linkedin use the popular Scalding dynamic programming language on top of Cascading to answer a variety of data science questions.

This talk will be hosted at LinkedIn’s offices in Mountain View. Food and drink will be provided.

Note: This is an update to Vitaly’s talk in January at the Climate Corporation. Most of the concepts and discussions will be similar.