CDW-G EDTech Magazine: Metropolitan Community College, "School of Management"Mike McCleave
See how we helped Metropolitan Community College advance to the next level in education technology by implementing a cutting edge mobile device management (MDM) solution to accommodate the rapid growth of mobile devices on campus. Our solution addressed MCC's security concerns and simplified their application and device life cycle management.
This article was published in the Q3, 2013 edition of EDTech Magazine and sent out to our customers, colleagues, and CDW-G alumni.
What is Continuous Delivery behind the buzzy words?
CD is all about having your software product always deployable. We discuss how to start moving in that direction, who should be responsible for this in the project, and present some of the technical challenges and approaches.
Slide deck for session in Tech4Africa 2014, Johannesburg.
Google Web Toolkit 1.5 Presentation Web Creative CommonStéphane Liétard
Présentation GWT en ligne
Support de formation GWT en version 1.5. Vous pouvez le consulter en ligne. Ce support est proposé sous licence Creative Commons.
Hadoop Summit 2014: Building a Self-Service Hadoop Platform at LinkedIn with ...David Chen
Hadoop comprises the core of LinkedIn’s data analytics infrastructure and runs a vast array of our data products, including People You May Know, Endorsements, and Recommendations. To schedule and run the Hadoop workflows that drive our data products, we rely on Azkaban, an open-source workflow manager developed and used at LinkedIn since 2009. Azkaban is designed to be scalable, reliable, and extensible, and features a beautiful and intuitive UI. Over the years, we have seen tremendous growth, both in the scale of our data and our Hadoop user base, which includes over a thousand developers, data scientists, and analysts. We evolved Azkaban to not only meet the demands of this scale, but also support query platforms including Pig and Hive and continue to be an easy to use, self-service platform. In this talk, we discuss how Azkaban’s monitoring and visualization features allow our users to quickly and easily develop, profile, and tune their Hadoop workflows.
CDW-G EDTech Magazine: Metropolitan Community College, "School of Management"Mike McCleave
See how we helped Metropolitan Community College advance to the next level in education technology by implementing a cutting edge mobile device management (MDM) solution to accommodate the rapid growth of mobile devices on campus. Our solution addressed MCC's security concerns and simplified their application and device life cycle management.
This article was published in the Q3, 2013 edition of EDTech Magazine and sent out to our customers, colleagues, and CDW-G alumni.
What is Continuous Delivery behind the buzzy words?
CD is all about having your software product always deployable. We discuss how to start moving in that direction, who should be responsible for this in the project, and present some of the technical challenges and approaches.
Slide deck for session in Tech4Africa 2014, Johannesburg.
Google Web Toolkit 1.5 Presentation Web Creative CommonStéphane Liétard
Présentation GWT en ligne
Support de formation GWT en version 1.5. Vous pouvez le consulter en ligne. Ce support est proposé sous licence Creative Commons.
Hadoop Summit 2014: Building a Self-Service Hadoop Platform at LinkedIn with ...David Chen
Hadoop comprises the core of LinkedIn’s data analytics infrastructure and runs a vast array of our data products, including People You May Know, Endorsements, and Recommendations. To schedule and run the Hadoop workflows that drive our data products, we rely on Azkaban, an open-source workflow manager developed and used at LinkedIn since 2009. Azkaban is designed to be scalable, reliable, and extensible, and features a beautiful and intuitive UI. Over the years, we have seen tremendous growth, both in the scale of our data and our Hadoop user base, which includes over a thousand developers, data scientists, and analysts. We evolved Azkaban to not only meet the demands of this scale, but also support query platforms including Pig and Hive and continue to be an easy to use, self-service platform. In this talk, we discuss how Azkaban’s monitoring and visualization features allow our users to quickly and easily develop, profile, and tune their Hadoop workflows.