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Improve Big Data Workloads with Apache Hadoop 3 and Containerization

Date
27 September 2018
Time
10:00 AM PT
Duration
1 hr

Apache Hadoop 3 continues to evolve to meet the requirements and challenges for mission-critical, large-scale data processing. One of these new features includes support for containerized workloads. Using containers for running big data workloads can make it easier to process, scale and manage large workloads.

 

Join experts from Ventana Research and Hortonworks to see how we enable success to improve your big data workload processing. In this webinar, you’ll learn:

  • New features included in Apache Hadoop 3 and the value they provide
  • How Apache Hadoop 3 enhances agility, flexibility, and scalability
  • What are the advantages of running big data workloads in containers
  • What are the tradeoffs of containerizing the application
SPEAKERS
David Menninger
SVP & Research Director, Ventana Research
Billie Rinaldi
Principal Software Engineer, Hortonworks

Register For The Webinar

* I understand I can unsubscribe at any time. I also acknowledge the additional information found in Hortonworks Privacy Policy.