Tag: Data Analytics

A Q&A on Big Data in the Cloud

Chip Maurer Leave a comment

The title of our recent live SNIA Cloud Storage Technologies webcast, “Cloud Storage and Big Data, A Marriage Made in the Clouds” might lead you to believe we were producing a new reality show, but of course, that was not the case. This webcast with SNIA experts, Chip Maurer, Vincent Hsu and Andy Longworth examined modernization challenges related to Big Data and key considerations for storing Big Data as workloads evolve. Our audience asked great questions during the live event. As promised, here are our experts’ answers.

Q: Is there much movement with Open Source Object Storage solutions, such as OpenStack suite – Swift, etc?

A. Yes, there is no shortage of Open Source storage solutions. The decision depends upon your organization’s expertise, reliability, cost, application availability and location, and your overall storage strategy.

Q. What drives organizations to modernize?

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Moving Genomics to the Cloud

Alex McDonald Leave a comment

The study of genomics in modern biology has revolutionized the discovery of medicines and the COVID pandemic response has quickened genetic research and driven the rapid development of vaccines. Genomics, however, requires a significant amount of compute power and data storage to make new discoveries possible. Making sure compute and storage are not a roadblock for genomics innovations will be the topic of discussion at the SNIA Cloud Storage Technologies Initiative live webcast “Moving Genomics to the Cloud: Compute and Storage Considerations.”

This session will feature expert viewpoints from both bioinformatics and technology perspectives with a focus on some of the compute and data storage challenges for genomics workflows. 

We will discuss:

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Extending Storage to the Edge

Jim Fister Leave a comment

Data gravity has pulled computing to the Edge and enabled significant advances in hybrid cloud deployments. The ability to run analytics from the datacenter to the Edge, where the data is generated and lives, also creates new use cases for nearly every industry and company. However, this movement of compute to the Edge is not the only pattern to have emerged. How might other use cases impact your storage strategy?

That’s the topic of our next SNIA Cloud Storage Technologies Initiative (CSTI) live webcast on August 25, 2021 “Extending Storage to the Edge – How It Should Affect Your Storage Strategy” where our experts, Erin Farr, Senior Technical Staff Member, IBM Storage CTO Innovation Team and Vincent Hsu, IBM Fellow, VP & CTO for Storage will join us for an interactive session that will cover:

  • Emerging patterns of data movement and the use cases that drive them
  • Cloud Bursting
  • Federated Learning across the Edge and Hybrid Cloud
  • Considerations for distributed cloud storage architectures to match these emerging patterns
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A New Wave of Video Analytics

Jim Fister Leave a comment

Adoption of cognitive services based on video and image analytics is on the rise. It’s an intriguing topic that the SNIA Cloud Storage Technologies Initiative will dive into on December 2, 2020 at our live webcast, “How Video Analytics is Changing the Way We Store Video.” In this webcast, we will look at some of the benefits and factors driving this adoption, as well as explore compelling projects and required components for a successful video-based cognitive service. This includes some great work in the open source community to provide methods and frameworks, some standards that are being worked on to unify the ecosystem and allow interoperability with models and architectures. Finally, we’ll cover the data required to train such models, the data source and how it needs to be treated.

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A Q&A on Data Literacy

Jim Fister Leave a comment

The SNIA Cloud Storage Technologies Initiative (CSTI) recently hosted a conversation with Glyn Bowden from HPE that I moderated on “Using Data Literacy to Drive Insight.”  In a wide-ranging conversation just over 45 minutes, we had a great discussion on a variety of topics related to ensuring the accuracy of data in order to draw the right conclusions using current examples of data from the COVID-19 pandemic as well as law enforcement. In the process of the dialog, some questions and comments arose, and we’re collecting them in this blog. 

Q. So who really needs Data Literacy skills?

A: Really, everyone does.  We all make decisions in our daily life, and it helps to understand the provenance of the information being presented.  It’s also important to find ways to the source material for the data when necessary in order to make the best decisions. Everyone can benefit from knowing more about data.  We all need to interpret the information offered to us by people, press, journals, educators, colleagues, friends.

Q. What’s an example of “everyone” who needs data literacy?

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Achieving Data Literacy

Jim Fister Leave a comment

We’re all spending our days living in the pandemic and understanding the cultural changes on a personal level.  That keening wail you hear is not some outside siren, it’s you staring out the window at the world that used to be.  But with all that, have you thought about the insight that you could be applying to your business?

If the pandemic has taught data professionals one essential thing, it’s this:  Data is like water when it escapes; it reaches every aspect of the community it inhabits. This fact becomes apparent when the general public has access to statistics, assessments, analysis and even medical journals related to the pandemic, at a scale never seen before.

But having access to data does not automatically grant the reader knowledge of how to interpret that data or the ability to derive insight. In fact, it can be quite challenging to judge the accuracy or value in that data.

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