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Presentations

Variety, Velocity and Volume: Meeting the performance challenges of Big Data in the enterprise

Big Data is no longer just a challenge for large social media companies - enterprises can also benefit from understanding when and how to apply these technologies and architectures. In this Webinar, Matthew Aslett of the 451 Group reviews the taxonomy of Big Data and explain how organizations are employing new data management technologies and approaches to ensure that they turn the data deluge into more accurate and efficient operations. Gil Tene, CTO and co-founder of Azul Systems, then highlights in greater detail the infrastructure and building block choices for enterprise architects and how to address the performance, scalability, and velocity challenges of Big Data in the enterprise.


Title: Variety, Velocity, and Volume: Meeting the performance challenges of Big Data in the enterprise

Presentation in 2 parts

Speakers:

Matthew Aslett, Analyst, 451 Group

Gil Tene, VP of Technology, CTO and Co-Founder, Azul Systems

“Big Data” is a hot topic and the concept of “Big Data” is a useful frame for the challenges of scaling petabyte or terabyte data that typically cannot be addressed with traditional technologies. However, Big Data is no longer just a challenge for large social media companies – enterprises can also benefit from understanding when and how to apply these technologies and architectures.

In this Webinar presentation, Matthew Aslett of the 451 Group reviews the taxonomy of Big Data and explain how organizations are employing new data management technologies and approaches to ensure that they turn the data deluge into more accurate and efficient operations.

Gil Tene, CTO and co-founder of Azul Systems, then highlights in greater detail the infrastructure and building block choices for enterprise architects and how to address the performance, scalability, and velocity challenges of Big Data in the enterprise.

Key takeaways:

  • New strategies for integrating Big Data applications within your existing infrastructure and operations
  • Tradeoffs between capacity and performance
  • The importance and challenges of Java for Big Data in the enterprise.

About the Speakers:

Matthew Aslett covers data management software for The 451 Group’s Information Management practice, including relational and non-relational databases, data warehousing and data caching. Matthew is also an expert in open source software and contributes regularly to reports produced through the 451 Commercial Adoption of Open Source (CAOS) Research Service, as well as to the 451 CAOS Theory blog.

Gil Tene has been involved with virtual machine technologies for the past 20 years and has been building Java technology-based products since 1995. He co-founded Azul Systems in 2002 with three other partners. Gil holds 23 patents in computing and related technologies.

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