Explain IT: Season 4, Episode 9 - Data Management for the Multi-Cloud :: Softcat
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Explain IT: Season 4, Episode 9 - Data Management for the Multi-Cloud

Data Management for the Multi-Cloud

0:00:00 / 43:05

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In this episode, we will be talking to Don Foster Commvault’s Global VP for Sales Engineering and Matt Watts, NetApp’s Chief Technology Evangelist. We will be discussing the 4th industrial revolution now, a data revolution. Organisations are a-massing more and more data with an increasing appetite into this data providing value and being under increasing compliance and regulatory pressures. On top of this customers are wrangling with how to operate a multi-cloud environment, in which their data plays a key role. In this podcast we want to explore this challenges from a number of different perspectives to shine a light on this part of the industry and provide guidance on how to navigate it successfully.

  • How we define data has changed – we now have ‘things’ creating data, as well as people and apps. Data is created everywhere, not just within the four walls of the business.
  • How we store data has also changed. It resides in data centres, cloud services and endpoints, and how we manage it has changed, and need sot continue to evolve as well.
  • We need to understand exactly what these cloud platforms can offer, to ensure our data is managed, secured, configured and accessible, according to our requirements. This will ensure best value from the data.
  • A consistent data layer, or control plane, would ensure all clouds are dealt with in the same way, data is handled consistently and there is a common level of security. This would simplify the management and ensure better compliance across the multi-cloud infrastructure.
  • 93% of companies have a cloud strategy, so there needs to be this level of standardisation and common control plane to reduce complexity.
  • Data is going to continue to explode – the quantity of data is outpacing the capacity mediums dealing with it. This brings challenges, but also opportunities for innovation.
  • It is crucial to understand your data. The data you capture must have a purpose.

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