Webcasts

Technology Implications of Internet of Payments
Wednesday, October 14, 2020
10:00 am PT / 1:00 pm ET

Electronic payments, once the purview of a few companies, have expanded to include a variety of financial and technology companies. Internet of Payment (IoP) enables payment processing over many kinds of IoT devices and has also led to the emergence of the micro-transaction. The growth of independent payment services offering e-commerce solutions, such as Square, and the entry of new ways to pay, such as Apple Pay mean that a variety of devices and technologies also have come into wide use.

In this talk we look at the impact of all of these new principles across multiple use cases and how it impacts not only on the consumers driving this behavior but on the underlying infrastructure that supports and enables it.

Storage Implications at the Velocity of 5G Streaming
Wednesday, October 21, 2020
10:00 am PT / 1:00 pm ET

The broad adoption of 5G, Internet of things (IoT) and edge computing will reshape the nature and role of enterprise and cloud storage over the next several years. What building blocks, capabilities and integration methods are needed to make this happen?

Join this webcast for a discussion on:

  • With 5G, IoT and edge computing - how much data are we talking about?
  • What will be the first applications leading to collaborative data-intelligence streaming?
  • How can low latency microservices and AI quickly extract insights from large amounts of data?
  • What are the emerging requirements for scalable stream storage - from peta to zeta?
  • How are yesterday’s object-based batch analytic processing (Hadoop) and today’s streaming messaging capabilities (Apache Kafka and RabbitMQ) work together?
  • What are the best approaches for getting data from the Edge to the Cloud?

Not Again! Data Deduplication for Storage Systems
Tuesday, November 10, 2020
10:00 am PT / 1:00 pm ET

Organizations inevitably store multiple copies of the same data. Users and applications store the same files over and over, intentionally or inadvertently. Developers, testers and analysts keep many similar copies of the same data. And backup programs copy the same or similar files daily, often to multiple locations or storage devices. It’s not unusual to end up with some data replicated thousands of times.

So how do we stop the duplication madness? Join this webcast where we’ll discuss how to reduce the number of copies of data that get stored, mirrored, or backed up.