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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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  • Portworx
  • Analytique de données
  • Tech Talks
  • FlashBlade

Somu Rajarathinam

Solution Architecture • Portfolio Solutions, Pure Storage

Bhavin Shah

Sr. Technical Marketing Manager, Pure Storage

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. 


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!


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. See Terms & Conditions.

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