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59:59 Webinars

Managing Modern Data Pipelines with Containerized Applications

A mature analytics strategy is essential to stay ahead of the market. How do you stack up against your competitors?
This webinar first aired on 2 mars 2023
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  • TechTalks
  • Portworx
  • Analytique de donn¨¦es
  • FlashBlade

Somu Rajarathinam

Solution Architecture ? Portfolio Solutions, É«¿Ø´«Ã½

Bhavin Shah

Sr. Technical Marketing Manager, É«¿Ø´«Ã½

Organizations across all industries are collecting more data every day. However, according to Forrester, up to 73% of enterprise data goes unused for analytics. That means, just one fourth of data is ever leveraged for insight after it¡¯s created. That leaves a large opportunity to gain a competitive edge. When businesses leverage modern data analytics platforms, they¡¯re able to optimize decisions, achieve full stack observability and - more to the
point -? increase sales.

A mature analytics strategy is essential to stay ahead of the market. How do you stack up against your competitors?

In this webinar, we¡¯ll dive into what modern data pipelines look like with the shift to disaggregated storage and share the benefits of containerizing applications.

Topics include:

  • How to enable independent scaling of compute & storage resources
  • The use of containers to expand compute agility and improve system utilization
  • Addressing scale and agility challenges through software such as Apache Kafka, Kubernetes and Portworx.?

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Find out how you can enhance your organization¡¯s ability to stay ahead of the competition with data analytics. Register for this exciting webinar today!

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Be one of the first 200 to register and attend, we will send you a $10 gift card for lunch of your choice. Participants who attend and participate in the Event will be entered into a random drawing that will be conducted during or after the Event. The winner of the random drawing will receive one (1) JBL Clip 4 Speaker (approx. value $120). The winning Participant will be identified during the Event or within a reasonable amount of time after the Event.

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